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16 September 2024
8:00
From GIS to Remote Sensing: Tutorial: Random Forest Classification Using the Semi-Automatic Classification Plugin
sur Planet OSGeo

This is a tutorial about the land cover classification using the Random Forest algorithm in the Semi-Automatic Classification Plugin (SCP).Please note that the installation of the dependency scikit-learn is required (see Plugin Installation). It is assumed that you have already read the Basic Tutorials.Following the video tutorial.

Read more »
2:00
PostGIS Development: PostGIS 3.5.0rc1
sur Planet OSGeo
The PostGIS Team is pleased to release PostGIS 3.5.0rc1! Best Served with PostgreSQL 17 RC1 and GEOS 3.13.0.

This version requires PostgreSQL 12 - 17, GEOS 3.8 or higher, and Proj 6.1+. To take advantage of all features, GEOS 3.12+ is needed. SFCGAL 1.4+ is needed to enable postgis_sfcgal support. To take advantage of all SFCGAL features, SFCGAL 1.5 is needed.
3.5.0rc1
- source download md5
- NEWS
- PDF docs: en ja, zh_Hans, fr
This release is a release candidate of a major release, it includes bug fixes since PostGIS 3.4.3 and new features.

Changes since 3.5.0beta1 are as follows:
- #5779 Failures building in parallel mode (Sandro Santilli)
- #5778, Sections missing in What’s new (Regina Obe)
2:00
PostGIS Development: PostGIS 3.5.0beta1
sur Planet OSGeo
The PostGIS Team is pleased to release PostGIS 3.5.0beta1! Best Served with PostgreSQL 17 RC1 and GEOS 3.13.0.

This version requires PostgreSQL 12 - 17, GEOS 3.8 or higher, and Proj 6.1+. To take advantage of all features, GEOS 3.12+ is needed. SFCGAL 1.4+ is needed to enable postgis_sfcgal support. To take advantage of all SFCGAL features, SFCGAL 1.5 is needed.
3.5.0beta1
- source download md5
- NEWS
- PDF docs: en ja, zh_Hans, fr
This release is a beta of a major release, it includes bug fixes since PostGIS 3.4.3 and new features.
15 September 2024
12:00
WhereGroup: Artenvielfalt, Naturschutz und Rohstoffe? Kein Widerspruch! Die bundesweite Biodiversitätsdatenbank der Baustoff-Steine-Erden-Industrie
sur Planet OSGeo

Interview mit Tanja Lenz, Leiterin Reporting und Statistik beim Bundesverband Baustoffe - Steine und Erden e.V.
12:00
Mappery: The Travels of Marco Polo
sur Planet OSGeo

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Reinder spotted this exquisite flyleaf detailing the travels of Marco Polo. I could gawp at this for ages without ever turning a page. The cover is pretty amazing too.

BTW, today is Marco Polo’s birthday (born in 1254)
14 September 2024
11:00
Mappery: Dena’ina
sur Planet OSGeo

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Greg Fiske said “Admiring the nexus of #IndigenousArt and #mapsinthewild this week. Dena’ina land” In case you are wondering Dena’ina is in south Alaska (the map shows the whole of Alaska)
13 September 2024
11:00
Mappery: World Time
sur Planet OSGeo

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Michel Stuyts asks “Am I the only one who sees this kind of clock in a shop and the first thing that comes to mind is: I wonder what kind of projection they used?”

The answer is definitely not! There are thousands of map lovers here who would love to answer you Michel
12 September 2024
14:00
Fernando Quadro: 5 maneiras de usar IA generativa em seus aplicativos geoespaciais
sur Planet OSGeo

A IA generativa claramente faz jus ao hype. Onde a localização importa, os LLMs trazem muitas oportunidades para melhorar seus aplicativos GIS e facilitar as interações com os usuários ao introduzir solicitações de linguagem natural.

Aqui estão 5 maneiras de usar IA generativa em seus aplicativos geoespaciais:

Melhore a busca por dados com pesquisa semântica
A pesquisa semântica melhora drasticamente os resultados de uma pesquisa lexica simples porque a IA entende o significado das solicitações, sem prestar atenção às palavras escolhidas.
A pergunta “Quando as lixeiras são recolhidas” encontrará resultados sobre “Política de coleta de lixo”, enquanto a pesquisa lexica não pode corresponder a nenhuma palavra.
Você pode ir além e usar uma abordagem híbrida (mesclando léxico e semântico) para ajustar sua pesquisa.

Enriqueça seu conjunto de dados extraindo dados estruturados de texto não estruturado
Os LLMs podem extrair valores estruturados de dados não estruturados, como texto. Quando você tem apenas um título e/ou uma descrição sobre seu conjunto de dados, a IA pode extrair palavras-chave, temas ou qualquer outra informação contextual contida na descrição. Essas informações extraídas podem então ser indexadas para ajustar a pesquisa. Este método pode ser usado para enriquecer registros de metadados e conjuntos de dados.
Por exemplo, extrair pontos de vista de uma descrição de trilha

Conduza seu aplicativo geoespacial com ferramentas e chamadas de função
Com a chamada de função, os modelos de IA fornecem uma maneira de especificar diferentes ações que o LLM deve entender de sua solicitação e chamar os métodos apropriados com os argumentos correspondentes diretamente do seu código. Você pode então conduzir seu aplicativo por solicitações naturais (texto ou voz).
Por exemplo: Adicione ciclovias ao mapa, ative o modo escuro etc.

Desenvolva habilidades de inteligência de localização com modelos text2sql específicos
Modelos de IA específicos realmente brilham ao transformar uma solicitação do usuário em uma consulta SQL. Isso permite que o usuário solicite qualquer informação complexa oculta em seu banco de dados. O modelo definitivo para aplicações geoespaciais pode ser um modelo text2postgis que permite qualquer consulta espacial para sua aplicação, como junções espaciais, buffers, agrupamento, distribuições h3 e muito mais possibilidades.
Por exemplo: encontre todos os restaurantes a 1 km de qualquer hotel em Paris.

Crie seu chatbot personalizado com agentes
Com agentes, você pode usar LLMs para escolher uma sequência de ações a serem tomadas. Isso significa que a IA escolherá por conta própria quais métodos chamar, sequencialmente, para responder à sua solicitação. Uma dessas ações pode ser pedir esclarecimentos ao usuário sobre sua solicitação, criando uma conversa com o usuário. Além disso, ajuda a entender como a IA constrói os resultados, pois o agente está lhe dizendo o que ele está realmente fazendo para atender à sua demanda.

Por exemplo: encontre todos os restaurantes a 1 km de qualquer hotel em Paris.
Extraindo a geometria de Paris
Colocando todos os hotéis contidos nessa geometria
Construindo um buffer de 1 km ao redor das geometrias de pontos de hotéis
Colocando todos os restaurantes contidos nesses buffers

Como você vê, a IA Generativa oferece habilidades inestimáveis ??para impulsionar seus aplicativos geoespaciais para o próximo nível e realmente ajudar seus aplicativos a serem realmente consumidos pelos usuários. Ao combinar todas essas técnicas, você pode acabar construindo um chatbot de inteligência de localização para resolver quaisquer preocupações territoriais e ajudar no processo de tomada de decisão em qualquer escala.

Fonte: webgis.tech
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11:00
Mappery: Salt Lake City Woodcarving
sur Planet OSGeo

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Matt Malone shared this, he said “Stumbled upon this excellent woodcarved street map of Salt Lake City recently. Airports should have their own #MapsInTheWild category.” We don’t really do categories on Mappery because I would forget to tag things and Arnaud or Dan would probaly tag them differently and there chaos lies.

Cracking piece of woodwork though!
2:00
GeoServer Team: CVE-2024-36401 Remote Code Execution (RCE) vulnerability in evaluating property name expressions
sur Planet OSGeo
The GeoServer community has been under considerable strain responding to CVE-2024-36401. This vulnerability stems from GeoTools library CVE-2024-36404.

This vulnerability, in the handling of XPath expressions, affords a “remote code execution” attack that is under active exploit. A remote code execution (RCE) attack allows an attacker to run malicious code on your computer or network.

For more information:
- GeoServer 2.25.2 Release (Jun 18, 2024)
- GeoServer 2.24.4 Release (Jun 18, 2024)
- CVE-2024-36401 (July 1, 2024)
- CISA Warns of Actively Exploited RCE Flaw in GeoServer GeoTools Software (The Hacker News, July 18, 2024)
- GeoServer Vulnerability Targeted by Hackers to Deliver Backdoors and Botnet Malware (The Hacker News, September 6, 2024)
Q: Why have I been directed to this post?
You are responsible for running a GeoServer instance that has not been updated.
1. CVE-2024-36401 provides mitigation instructions which you should perform immediately.
  
  Please stop reading and do this now.
2. Update your instance: Upgrading existing versions (User Guide)
  
  The instructions include notes on upgrading specific versions. Please read carefully to see if any manual changes are required.
Q: Do I have to update or is a patch available?
With such a serious issue several service providers have stepped forward to make fixes available for prior releases.

Full release:
- GeoServer 2.23.6 Release (GeoCat)
Patch provided with CVE-2024-36401 report:
- GeoServer 2.25.1 (GeoSolutions)
- GeoServer 2.24.3 (GeoSolutions)
- GeoServer 2.24.2 (GeoSolutions)
- GeoServer 2.23.2 (GeoSolutions)
- GeoServer 2.22.2 (GeoSolutions)
- GeoServer 2.21.5 (GeoSolutions)
- GeoServer 2.21.4 (GeoSolutions)
- GeoServer 2.20.7 (GeoSolutions)
- GeoServer 2.20.4 (GeoSolutions)
- GeoServer 2.19.2 (GeoSolutions)
- GeoServer 2.18.0 (GeoSolutions)
Free software is a participation sport - to create a patch for a prior release volunteer with community development.
Q: How often should I upgrade GeoServer?
GeoServer operates with a time boxed release cycle, maintaining “stable” and “maintenance” releases, over the course of a year.
- Upgrade GeoServer twice a year as new stable releases are made.
- Once the release you are using has entered “maintenance” it is a good idea to upgrade (before the release is no longer supported).
- GeoServer security policy provides one year of support. You may also contact our service providers for extended support beyond this timeframe.
Q: Notification of security vulnerabilities?
Stay up to date:
1. Please monitor release announcements for the heading “Security Considerations”.
  Security Considerations
  
  This release addresses security vulnerabilities and is considered an essential upgrade for production systems.
  - CVE-2024-36401 Critical
  You can review the release announcement, and in this case with a “Critical” vulnerability decide to update.
2. When everyone has had an opportunity to update the details of the vulnerability are announced.
  Security Considerations
  
  This release addresses security vulnerabilities and is considered an essential upgrade for production systems.
  - CVE-2024-36401 Remote Code Execution (RCE) vulnerability in evaluating property name expression (Critical)
3. As GeoServer has now adopted use CVEs for publication you may also have success with vulnerability scanning tools.
  
  These tools function when the vulnerability is published, and do not provide any advance notice.
Q: Notification of security reports?
As security reports contain sensitive information they are only shared with representatives of the geoserver-security email list.

Participation in geoserver-security, like commit access, is volunteer based and reflects trust.

Please review GeoServer Security Policy if you are in a position to help out.
11 September 2024
11:00
Mappery: La Tharee
sur Planet OSGeo

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Julien Minet shared this spectacular mappy beer bottle. “Here again an association of cartography and beers, a hand-drawn map of some part of the Ardenne printed on a special edition of the Belgian beer La Tharée”
3:16
Sean Gillies: Fiona 1.10.0
sur Planet OSGeo

I made a software release last Tuesday. One with new features, deprecations, major refactoring, and packaging and dependency changes, not just bug fixes. Fiona 1.10.0 has three main changes: Python openers, CLI filter commands, and new data classes.

Python openers can connect filesystems implemented in Python, like fsspec or tiledb.vfs, to GDAL's own virtual filesystem machinery. In most cases, you should reply on GDAL's built-in virtual filesystem handlers. On the other hand, if you have unique or proprietary data access protocols, then Fiona's new openers may be useful. As far as I know, Fiona (and Rasterio) have the only open source implementations of GDAL's virtual filesystem plugin system. David Hoese had the initial idea, Even Rouault helped a lot, and I got it over the finish line. I think this is right up there with MemoryFile for my favorite feature that didn't exist in Python-GIS software before.

Fiona's CLI has three new commands, filter (strictly speaking, a new mode of this command), map, and reduce. These provide some great features for Unix-style data processing pipelines and are designed to work well with jq and programs of that nature. Think of them as the data processing part of ogr2ogr, split into 3 simpler commands, reading and writing to stdin/stdout by default, with no SQL and no need to know about different SQL dialects. The documentation contains a new tutorial about using filter, map, and reduce. This work began in planetlabs/fio-planet and now lives in the Fiona CLI core. Thank you, Tim Schaub, for stewarding the transition.

Lastly, Fiona now longer represents GIS features (and their geometries and properties) as Python dicts, but as Python classes: fiona.model.Feature, fiona.model.Geometry, and fiona.model.Properties. These classes provide dict-like access for backwards compatibility, but raise warnings when mutated. These data classes will be immutable in version 2.0.

A lot of GIS-Python attention has moved on to columnar data and massive amounts of time series, trajectories, telemetry, etc, using Parquet and Arrow. But, there's still a need to reason about persistent spatial things in our world and their relationships to each other. Classic GIS features, in other words. Watersheds, counties, neighborhoods. That's what Fiona remains concerned about.
2:00
Camptocamp: GeoServer 3 Call for Crowdfunding
sur Planet OSGeo

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GeoServer is at a critical turning point and it needs your help to continue its journey as the leading free and Open Source platform for geospatial data. With GeoServer 3 we are transforming the way you interact with geospatial data—making it faster, more intuitive, and more secure.
10 September 2024
21:49
Fernando Quadro: GeoServer 3 – Campanha de Crowdfunding
sur Planet OSGeo
O GeoServer precisa da sua ajuda para continuar sua jornada como a principal plataforma gratuita e de código aberto para dados geoespaciais. Com o GeoServer 3, estamos transformando a maneira como você interage com dados geoespaciais, tornando-os mais rápidos, intuitivos e seguros.

Esta grande atualização, liderada pela Camptocamp, GeoSolutions e GeoCat, fornecerá:
- Desempenho futuro: um núcleo modernizado para compatibilidade com as mais recentes tecnologias de gerenciamento e implantação de dados.
- Processamento de imagem aprimorado: manuseio mais rápido e suave de imagens espaciais e conjuntos de dados maiores.
- Segurança e conformidade aprimoradas: atenda aos padrões regulatórios e proteja seus dados com os mais recentes aprimoramentos de segurança.
- Experiência do usuário simplificada: navegação mais fácil, integração de novos serviços e capacitação de usuários em todos os níveis.
O escopo deste trabalho está além de atualizações de rotina ou manutenção, já que a transição para o GeoServer 3 requer um amplo redesenvolvimento dos sistemas principais, bem como a implementação de práticas de segurança modernas e também testes e validação completos em todas as extensões do GeoServer.

Os membros do consórcio – Camptocamp, GeoSolutions e GeoCat – têm uma longa história de suporte e contribuição ao GeoServer e estão totalmente comprometidos com o sucesso desta migração. No entanto, este é um grande esforço que não pode ser concluído sem o suporte da comunidade.

Ao apoiar esta campanha de crowdfunding, você está investindo no futuro do GeoServer e ajudando a sustentar a comunidade geoespacial inovadora e de código aberto.

1. Por que GeoServer 3?

À medida que o cenário digital evolui, manter-se atualizado com as últimas tecnologias não é mais opcional — é essencial. O GeoServer 3 está sendo desenvolvido para enfrentar desafios cruciais e garantir que o GeoServer continue sendo uma plataforma confiável e segura para o futuro. Vários fatores-chave tornam esta atualização crítica agora:
- Conformidade regulatória: Novas regulamentações, incluindo a lista de vulnerabilidades exploradas conhecidas da CISA, exigem que os sistemas sejam totalmente corrigidos para garantir a prontidão operacional. Sem as últimas atualizações, o GeoServer corre o risco de ficar aquém desses padrões, e é por isso que migrar para o Spring 6 é essencial.
- Fim do suporte para o Spring 5: Em janeiro de 2025, o Spring 5 não receberá mais atualizações de segurança, deixando os sistemas vulneráveis. Como o GeoServer opera como middleware entre serviços da web e camadas de dados essenciais, esta atualização para o Spring 6 é crucial para manter conexões seguras e proteger dados de possíveis violações.
- Melhorias de segurança: A atualização para o Spring 6 habilita protocolos OAuth2 para autenticação segura, especialmente crítica para uso em larga escala ou em nível empresarial. Esses avanços ajudarão as organizações a atender aos requisitos de segurança em evolução e proteger dados geoespaciais confidenciais.
- Mudança para o JDK 17: Esta atualização também marca a transição do GeoServer para o JDK 17, que traz melhorias em desempenho, segurança e suporte de longo prazo. Manter o GeoServer alinhado com as versões mais recentes do Java garante compatibilidade com as modernas tecnologias de implantação Tomcat 10 e Jakarta e prepara a plataforma para o futuro.
- Processamento de imagem aprimorado: O GeoServer 3 substituirá a biblioteca Java Advanced Imaging (JAI) desatualizada pelo kit de ferramentas ImageN mais moderno e flexível. Esta mudança aumentará significativamente os recursos de processamento de imagem, permitindo um manuseio mais rápido de grandes conjuntos de dados espaciais e melhorando a compatibilidade com Java.
- Conjunto de tecnologia à prova do futuro: Com a migração para o Spring 6 e a mudança para o JDK 17, o GeoServer 3 garante viabilidade de longo prazo. Abordar toda a pilha do GeoServer, incluindo os componentes corporativos GeoFence e Cloud Native GeoServer, permite que as organizações adotem perfeitamente a infraestrutura moderna e os modelos de implantação sem comprometer o desempenho ou a segurança.
Com este trabalho, o GeoServer está caminhando para um futuro mais seguro e de alto desempenho, pronto para atender às necessidades em evolução da comunidade geoespacial.

2. Sobre a Campanha de Crowdfunding

Embora o consórcio esteja totalmente comprometido com esse esforço, o tamanho da tarefa significa que precisamos de suporte financeiro adicional para que isso aconteça. É aqui que você entra. Ao contribuir para esta campanha de financiamento coletivo, você está apoiando diretamente os desenvolvedores e engenheiros que realizarão a atualização, garantindo o sucesso contínuo do GeoServer.

Seu suporte, seja como indivíduo, instituição pública ou provedor de serviços, é vital. Ao contribuir para esta campanha de financiamento coletivo, você está investindo no futuro da tecnologia geoespacial de código aberto. O financiamento coletivo será estruturado em duas fases para garantir o sucesso:
- Fase de compromisso: patrocinadores e membros da comunidade prometerão seu suporte financeiro durante esta fase, mas nenhum fundo será coletado. O objetivo é atingir uma meta predefinida que cubra todo o escopo de trabalho necessário para a migração.
- Ativação do financiamento: assim que a meta for atingida, o financiamento coletivo será ativado e os patrocinadores serão faturados pelos valores prometidos. Isso garante que haja suporte financeiro suficiente para concluir a migração sem correr o risco de subfinanciamento.
Essa abordagem estruturada garante que o GeoServer 3 seja totalmente financiado antes de qualquer trabalho começar, evitando o risco de uma migração incompleta. Isso garante que o projeto terá os recursos necessários para ser concluído em sua totalidade.

3. Como participar

O GeoServer tem a confiança de milhares de organizações no mundo todo. Agora é a hora de dar um passo à frente e se juntar a essa comunidade de apoiadores.

Ao doar, você ajudará a garantir o futuro do GeoServer como uma plataforma de alto desempenho e código aberto. Cada contribuição conta.

Pronto para dar suporte ao GeoServer 3? Entre em contato pelo e-mail gs3-funding@googlegroups.com para expressar seu interesse ou prometer seu apoio.

Juntos, podemos garantir o futuro do GeoServer nos próximos anos.
17:35
GeoCat: GeoServer 3 Call for Crowdfunding
sur Planet OSGeo
GeoServer is at a critical turning point and it needs your help to continue its journey as the leading free and open-source platform for geospatial data. With GeoServer 3 we are transforming the way you interact with geospatial data—making it faster, more intuitive, and more secure.

This major upgrade, led by Camptocamp, GeoSolutions, and GeoCat, will deliver:
- Future-Proof Performance: A modernized core for compatibility with the latest data management and deployment technologies.
- Enhanced Image Processing: Faster, smoother handling of spatial imagery and larger datasets.
- Improved Security and Compliance: Meet regulatory standards and protect your data with the latest security enhancements.
- Streamlined User Experience: Easier navigation, integrating new services, and empowering users at all levels.
The scope of this work is beyond routine updates or maintenance since the transition to GeoServer 3 requires extensive redevelopment of core systems as well as implementing modern security practices and also thorough testing and validation across all GeoServer extensions.

The consortium members – Camptocamp, GeoSolutions, and GeoCat– have a long-standing history of supporting and contributing to GeoServer and are fully committed to the success of this migration. However, this is a major effort that cannot be completed without community support.

By supporting this crowdfunding campaign, you are investing in the future of GeoServer and helping to sustain the innovative, open-source geospatial community.

Why GeoServer 3
As the digital landscape evolves, staying up-to-date with the latest technology is no longer optional — it’s essential. GeoServer 3 is being developed to address crucial challenges and ensure that GeoServer remains a reliable and secure platform for the future. Several key factors make this upgrade critical right now:
- Regulatory Compliance: New regulations, including the CISA known exploited vulnerabilities list, demand that systems be fully patched to ensure operational readiness. Without the latest updates, GeoServer risks falling short of these standards, which is why migrating to Spring 6 is essential.
- End of Support for Spring 5: By January 2025, Spring 5 will no longer receive security updates, leaving systems vulnerable. As GeoServer operates as middleware between web services and essential data layers, this upgrade to Spring 6 is crucial to maintaining secure connections and protecting data from potential breaches.
- Security Enhancements: Upgrading to Spring 6 enables OAuth2 protocols for secure authentication, especially critical for large-scale or enterprise-level use. These advancements will help organizations meet evolving security requirements and protect sensitive geospatial data.
- Switching to JDK 17: This upgrade also marks GeoServer’s transition to JDK 17, which brings improvements in performance, security, and long-term support. Keeping GeoServer aligned with the latest Java versions ensures compatibility with modern deployment technologies Tomcat 10 and Jakarta and future-proofs the platform.
- Improved Image Processing: GeoServer 3 will replace the outdated Java Advanced Imaging (JAI) library with the more modern and flexible ImageN toolkit. This switch will significantly enhance image processing capabilities, enabling faster handling of large spatial datasets and improving Java compatibility.
- Future-Proof Technology Stack: With the migration to Spring 6 and the shift to JDK 17, GeoServer 3 ensures long-term viability. Addressing the entire GeoServer stack, including enterprise components GeoFence and Cloud Native GeoServer, allows organizations to seamlessly adopt modern infrastructure and deployment models without compromising performance or security.
With this work, GeoServer is moving into a more secure, high-performing future—ready to tackle the evolving needs of the geospatial community. For more information on the work to be performed and its phases, please visit this document.
Crowdfunding structure
The crowdfunding will be structured in two phases to ensure success:
1. Commitment Phase: Sponsors and community members will pledge their financial support during this phase, but no funds will be collected. The goal is to reach a predefined target that covers the full scope of work necessary for the migration.
2. Funding Activation: Once the target is reached, the crowdfunding will be activated, and sponsors will be invoiced for their pledged amounts. This ensures there is enough financial backing to complete the migration without risking underfunding.
This structured approach ensures that GeoServer 3 is fully funded before any work begins, preventing the risk of an incomplete migration. This guarantees that the project will have the necessary resources to be completed in its entirety.

This structure forms a multi-party agreement:
- Consortium: Three companies are forming a consortium (Camptocamp, GeoSolutions, and GeoCat) providing expertise, a proven track record, and capacity. These companies are also taking on responsibility for project management, estimating, and importantly risk.
- Supporters: We are seeking organisations to pledge their support via funding during the commitment phase. No funds will be collected until we reach the target established below for the full scope of work necessary.
- Community: We ask that our community step forward to match the contributions above with both financial contributions and in-kind development and testing.
Crowdfunding target
The financial target is ambitious, 550,000.00 €. CamptoCamp, GeoCat and GeoSolutions have generously stepped up and will provide an initial seed fund of 50,000.00€ each, which means the current funding goal starts at 400,000.00 €. Here below you will find the live updated situation as far as committed funding is concerned.
How to participate
If you are ready to support GeoServer 3, please, fill this online form or contact us at gs3-funding@googlegroups.com to express your interest and pledge your support.

Together, we can secure the future of GeoServer for years to come.

The post GeoServer 3 Call for Crowdfunding appeared first on GeoCat bv.
17:04
GeoSolutions: GeoServer 3 Call for Crowdfunding
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14:00
Fernando Quadro: Geotecnologias e o Combate à Violência
sur Planet OSGeo

A violência, principalmente os Crimes Violentos Letais Intencionais (CVLIs), são um problema grave no Brasil. Essa categoria engloba homicídios dolosos, latrocínios (roubos seguidos de mortes) e lesões corporais seguidas de morte. Analisar a evolução desses índices nas maiores cidades do país e em âmbito nacional e fundamental para compreender as dinâmicas da violência urbana e para o desenvolvimento de políticas púbicas eficazes que propõem um enfoque multifacetado que combine ações repressivas e preventivas, com base em dados e análises geoespaciais.

Quais ferramentas podem nos auxiliar na gestão da segurança pública?

Visualização de padrões espaciais da criminalidade: Mapas de calor e outras ferramentas identificam áreas com alta concentração de CVLIs, auxiliando na alocação de recursos policiais e na definição de zonas prioritárias para ações preventivas.
Análise de tendências e identificação de focos de violência: Dados históricos e em tempo real permitem identificar tendências da criminalidade, prever picos de violência e direcionar ações de forma proativa.
Monitoramento de operações policiais em tempo real: O rastreamento de viaturas e equipes facilita a coordenação de operações e otimiza a resposta a crimes em andamento.
Investigação de crimes com mais precisão: A análise espacial de cenas de crime, incluindo sobreposição de dados de diferentes fontes, pode auxiliar na investigação e na identificação de suspeitos.
Engajamento da comunidade na prevenção da violência: O compartilhamento de informações geoespaciais com a comunidade pode aumentar a percepção de segurança e fomentar a colaboração na prevenção da criminalidade.

A integração da Geotecnologia com as estratégias de combate à violência pode fortalecer significativamente as ações de segurança pública:

Fortalecimento das forças policiais: Pode auxiliar no treinamento de policiais na análise espacial, permitindo uma melhor compreensão da dinâmica da criminalidade em suas áreas de atuação.
Prevenção através da educação e inclusão social: Pode ser utilizada para mapear e direcionar programas sociais e educativos para áreas com maior vulnerabilidade à violência, promovendo a inclusão social e prevenindo a criminalidade.
Melhoria do sistema de justiça criminal: A análise geoespacial pode auxiliar na investigação de crimes, na identificação de reincidentes e na definição de medidas socioeducativas mais eficazes.

Através da inteligência geográfica, é possível ter uma visão mais completa e precisa da criminalidade, permitindo ações mais eficazes na prevenção e no combate à violência.

Fonte: webgis.tech
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11:00
Mappery: Noel Gallagher Goes European
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Pièce jointe: [télécharger]

Berndasn shared this pic from a Noeel Gallagher concert in Amsterdam
07 September 2024
11:00
Mappery: Argentina on Cow Hide
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Jachym Cepicky spotted this leatgher map of Argentina in Cafe Dlask in Varnsdorf
MapsintheWild Argentina on Cow Hide
1:18
Sean Gillies: Black Squirrel volunteering
sur Planet OSGeo

Black Squirrel is the local trail half-marathon that I've finished five times since 2016. I registered to run it again this year, but had to scratch because of my Achilles tendonitis.

Instead, I'm going to volunteer at the event. I'll be among the first at Lory State Park, helping arriving runners park their cars and find the starting line. After that, I'm going to a trail intersection to keep first-time runners on course as they pour down the Howard Trail. It's going to be a beautiful late summer morning and I'm looking forward to being part of the event.
06 September 2024
14:46
GeoSolutions: FREE Webinar: MapStore Major Release 2024.01 and Beyond
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14:00
Mappery: River Thames coffee table
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This rather fine coffee table, which used to belong to my father, depicts the River Thames all the way from source to mouth. The river has been carved into the table and then painted silver, with both ends then wrapping around the side of the table. I’m not sure who the original crafts-person was but its quite fun!

Happy birthday Mappery!
MapsintheWild River Thames coffee table
12:00
Mappery: Beer for our Birthday, Mr Wainwright?
sur Planet OSGeo

Regulars will know that we get a lot of maps in the wild which feature, wine, spirits or beer. I couldn’t resist this Wainwright beer glass (suitably filled) for the last of my birthday sequence.

Nick Hill sent this pic.

“Not sure if you’ve had this one before? I saw this map of the Lake District on my glass while enjoying a pint of Wainwright Gold in the Queen of Hearts pub in Daventry.

Cheers, Nick”

Well cheers to you Nick and to all of our MapsintheWild community, drink a toast to all of our contributors today if you can.
MapsintheWild Beer for our Birthday, Mr Wainwright?
11:00
Mappery: Mappy Birthday!
sur Planet OSGeo

Happy Birthday to the incredible @mapsinthewild! ? Mappery has been a constant source of inspiration for my wanderlust adventures. I’m sharing a photo of a motorbike I spotted in Toulouse, France to celebrate this special day. The licence plate from Germany stands for a long journey. The vibrant city always brings back fond memories of my years there as a student: a nice combo to share.

MapsintheWild Mappy Birthday!
10:00
Mappery: Mappy Birthday! – Meridian 17
sur Planet OSGeo

Today is Mappery’s 6th birthday.

Remarkable really that we have kept this up for 6 years, that’s just over 1600 posts with almost 2,500 images, 300 weekly email newsletters, thousands of social media follows (no longer X’ing) and a lot of support from our readers and contributors who have made #MapsintheWild into a community.

So thanks to Ken who helped me to start Mappery when we were on safari together, thanks to Arnaud and Dan who help to share the load and keep the site running and thanks to everyone who has contributed a MapintheWild.

Today’s birthday post is the 17th Meridian line. Why? Well unsurprisingly, for regular readers/followers, this pic came from Reinder Storm, in our six years Reinder has contributed over 180 of the posts that we have featured which is pretty remarkable. I know this isn’t an actual map but it testifies to the map geekiness and passion of our contributors and followers -THANK YOU REINDER

Reinder commented “… passes right through Wroc?aw, Poland. The meridian 17° east of Greenwich is a line of longitude that extends from the North Pole across the Arctic Ocean, Europe, Africa, the Atlantic Ocean, the Southern Ocean, and Antarctica to the South Pole”

We’ll be pushing the boat out with a few more birthday posts today.
MapsintheWild Mappy Birthday! – Meridian 17
1:00
Mappery: The City of New York has fallen over
sur Planet OSGeo

A bonus pic from Ken for our birthday.

Ken was in New York recently and he sent this map in the wild from a diner that he stopped at. To fit the map into the available space they rotated it to west up.
MapsintheWild The City of New York has fallen over
05 September 2024
14:00
Fernando Quadro: Geotecnologia aplicada na Silvicultura
sur Planet OSGeo

As conhecidas geotecnologias extrapolam os limites de sua ciência de desenvolvimento e aplicação. Dentre os vários setores produtivos nos quais ela é utilizada, a silvicultura é uma atividade que aproveita ao máximo o universo de soluções para diversos setores da gestão florestal. Tudo o que ela tem para oferecer pode ser aproveitado em benefício da gestão florestal. A geotecnologia se apresenta como uma ferramenta poderosa, oferecendo novas maneiras de se coletar dados, monitorar ecossistemas florestais e tomar decisões informadas. Atualmente é impossível imaginar que a gestão de uma floresta plantada possa ser realizada sem o uso desta potente ferramenta.

O drone, por exemplo, como ferramenta é um grande marco na geotecnologia. A possibilidade de municiar cada equipe de campo com um drone com uma câmera fotográfica embarcada elevou o nível da geotecnologia aplicada na silvicultura a um patamar nunca vivenciado. Claro que este avanço teve que superar questões como a dificuldade no processamento de tantas imagens capturadas, na identificação de indivíduos e na separação entre espécies através de técnicas de sensoriamento remoto. Dificuldades essas que se ampliaram com o surgimento de sensores LiDAR embarcados, que detalha o espaço com precisão milimétrica, sendo certo que a resolução dessas demandas abriu muitas possibilidades para o manejo silvicultural, especialmente para o inventário florestal.

Atualmente o estado da arte da geotecnologia aplicada na silvicultura está representada nos seguintes usos:

Big Data Geoespacial: A explosão de dados geoespaciais gerados por uma variedade de fontes, incluindo sensores remotos, dispositivos móveis e estações de monitoramento, está impulsionando o desenvolvimento de técnicas de análise de big data geoespacial. Isso inclui algoritmos de machine learning e inteligência artificial para análise de padrões espaciais, previsão e tomada de decisões.

Internet das Coisas (IoT) Geoespacial: A integração de sensores geoespaciais em equipamentos de monitoramento cria um ambiente de IoT geoespacial. Isso permite a coleta contínua de dados em tempo real sobre o ambiente e árvores individuais aumentando a compreensão das interações floresta-ambiente.

Geotecnologia para Inteligência Artificial: A geotecnologia está sendo integrada a algoritmos de inteligência artificial para uma variedade de aplicações, incluindo detecção de mudanças no uso da terra, identificação de espécies individuais e doenças a partir de imagens aéreas, previsão de eventos climáticos extremos, otimização de recursos operacionais, entre outras.

Não há dúvidas que a geotecnologia tem enorme participação no aumento da produtividade florestal experimentada nos dias de hoje, seja na melhoria do manejo, na conservação hídrica e do solo, seja no aproveitamento de regiões antes consideradas inaptas para a silvicultura.

Fonte: webgis.tech
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11:00
Mappery: Global Delivery Bike (except New Zealand)
sur Planet OSGeo

Erik spotted this delivery bike in Delft. It looks as if half of New Zealand is missing.

MapsintheWild Global Delivery Bike (except New Zealand)
2:00
PostGIS Development: PostGIS 3.3.7
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The PostGIS Team is pleased to release PostGIS 3.4.7! This is a bug fix release.
3.3.7
- source download md5
- NEWS
- PDF docs: en
04 September 2024
23:38
W3C Maps for HTML Community Group: MapML.js release v0.14.0: CSS and Pmtiles
sur Planet OSGeo

Scripting, Styling and Web Maps: Who’s On First? The Big Three
Part of the job of being a Web standard means that you have to follow the architecture of the web, which allocates specific jobs across the Big Three languages: HTML, CSS and JavaScript. For JavaScript, this ideally means supplying and enhancing site-specific semantics and user experience, and leaving accessibility and rendering up to the browser’s HTML infrastructure; for Cascading Style Sheets, it means supporting the HTML rendering engine through accessibility-enhancing styling instructions declared by the page according to the CSS language. For HTML, it means parsing the page and rendering HTML elements as accessible content, and providing a DOM API to allow access to the content by JavaScript manipulation to provide and enhance effective user experiences.

In the Maps for HTML universe, our goal is an update to Web standards that sees maps and location decomposed with accessibility as a precondition, into rendering, style and behaviour, and fit into the appropriate architectural domain, be that in HTML, CSS or JavaScript. There is no support today for maps or location in any of the Big Three languages. The consequence of this lack of platform support for web maps is their exclusive and massive allocation to the JavaScript domain. The societal implications of this misallocation are a subject for another post.

To date, we have articulated a mechanism to embed accessible and semantic web maps and locations into an HTML viewer widget, the <mapml-viewer> element. So far, the fit of this widget to the HTML media widget paradigm seems appropriate. For a refresher on how the viewer works, check out our Quick Start video.

The question that bears additional scrutiny and community involvement, and that which is the question of this post is: How can we better leverage CSS for styles of maps and location, while enhancing accessibility? Opaque (binary) media types HTML media like video and audio don’t have much relationship with CSS, whereas map rendering has a natural connection to text and graphics styling. It’s the natural connection of maps to web architecture that makes maps and location a good candidate for a web standard.
What You Can Do With CSS in MapML Today – Support by GeoServer
The main use of CSS in MapML is to style the tree of elements rooted at the <map-feature>. The <map-feature> element is a custom element that can be obtained in a fetched MapML-format XHTML document, or found inline in HTML proper, between the <layer-> … </layer-> layer tags. <map-feature> elements are parsed and their <map-geometry> elements rendered as a shadow-DOM embedded SVG <g> tag (group element), with different geometry values rendered within that group as <path>s within the parent <g>. Any class attributes on the <map-feature> are copied to the root <path> element, and class attributes on descendent geometry elements are copied to the <path> that they are rendered as. This allows us to apply CSS rules to <map-feature> as though its parts were actual SVG tags, so long as the rendered feature parts can be selected via their class, which is copied from the source <map-whatever> element. This can even be useful for making accessible interactive maps.

This technique is used by GeoServer for example, which transforms Style Layer Descriptor server styles into CSS stylesheets with selectors for generated class values from the server layers’ contents. In addition to allowing basic styling of points, lines and polygons, this facility enables GeoServer to dynamically generate and style MapML-encoded vector tiles. The perceived performance of tiled vector maps can be acceptable, especially when such tiles are created and cached for later access, and improvements can be expected with additional specification and software development effort. This is all pretty interesting because it is starting to show us a path to (better) integration between the native web platform languages like HTML and CSS on the one hand, and maps on the other.
Mapbox Vector Tiles and the pmtiles Archive Format
“pmtiles” is the name of a modern, cloud-friendly map tile archive format that is gaining popularity among web mapping applications, because it allows websites to readily serve their own map vector tile data without necessarily hosting the whole world, which is cost- and time-prohibitive. The motivation behind pmtiles (a product of the Protomaps project) would seem to be compatible with our community’s goal of standardising maps for the web. In the words of its creator Brandon Liu, :

Maps are everywhere on the Internet. Think of any popular retail site, travel search or local government portal. The infrastructure of the web, from languages like JavaScript, front-end frameworks, and databases, is overwhelmingly free software. Maps are one of the few remaining choke points* of an otherwise open web.

* choke points aka control points

pmtiles efficiently manages potentially massive amounts of tiled vector data in a single archive file. The archive can be hosted in a variety of server environments, but the main criteria for success is that the host server is capable of http range requests. When a client needs a particular tile, it makes the request not using the zoom, row and column coordinates as URL parameters or path steps, but by transforming the tile’s coordinates to a pmtiles archive byte range, using the tile’s byte offset and length, calculated from the archive’s metadata which contains, among other information, the formula to perform the transformation.

Under the hood, a .pmtiles archive file is a clever application of Hilbert space filling curves to efficiently compress tiles in the Web Mercator projection, encoded in the Mapbox Vector Tiles or other format (mvt). Mvt is a kind of de facto standard among vector tile formats, of which there are many, too numerous to mention. The protomaps-leaflet library integrates support for both .pmtiles archives as well as raw .mvt tile responses served through a web server API, following the {z}/{x}/{y} URL (template) convention. Protomaps-leaflet styling of tiles is accomplished via “themes”, or “rules”. Rules encode canvas 2D API call parameters on a per-tile, per-layer basis, such that map feature styles are encoded as JavaScript objects and methods that are called back by the protomaps-leaflet tile rendering engine. A theme is a named collection of rules, e.g. “light” or “dark”.

The newly-renamed MapML.js release 0.14.0 supports pmtiles archives and .mvt format API services, including custom map styling, via a protomaps-leaflet integration, mainly through the templated <map-link> element. Projection support is currently limited to OSMTILE maps, because of the (hopefully short-term) restriction of protomaps-leaflet to the Web Mercator projection and powers of 2 tile pyramids. Custom styles can be created and included as a “stylesheet” module by means of an exported symbol named “pmtilesStyles”, containing a defined and required JavaScript object structure.

If you’re using GeoServer, or pmtiles / mvt support in MapML.js, or any open source component from our community in your maps, please get in touch, we’d love to hear from you about your experience.
Call For Community
A large measure of the payoff for the effort of building maps into HTML will be simple and decentralised access (i.e. no “choke points”) to the incredible rendering performance afforded by native code styling through CSS. What wouldn’t be possible in such a world? Accessible location navigation, animations, moving features, real time location updates, oh my! Worth mentioning: the CSS development community often sets an example of dynamic, open collaboration definitely worthy of emulating, if not wholly joining forces with.

In summary, let’s take the “special” out of spatial, and collectively imagine, design and implement a HTML+CSS engine capable of fully expressing and executing cartographic rules, for the future.
14:00
Fernando Quadro: Porque usar o Geography no PostGIS?
sur Planet OSGeo

Você sabia que ao trabalhar com grandes volumes de dados no PostGIS pode te levar a medições imprecisas?

É verdade. Quando você armazena seus dados geoespaciais como Geometry, o PostGIS trata esses dados como um plano 2D, como se a Terra fosse uma “panqueca”.

Mas não se preocupe, existe solução para isso. Você pode armazenar seus dados com o tipo Geography no PostGIS ao invés de Geometry.

Isso irá dizer ao PostGIS para usar um sistema de coordenadas “arredondas”, proporcionando medições muito mais precisas.

Nesses casos o tipo Geography é a melhor opção, e traz como benefícios:

Dados armazenados em WGS84 (latitude/longitude) com medidas em metros
Funções nativas especiais feitas apenas para este tipo de dados
Perfeito para lidar com grandes regiões

Se você tem já sua base de dados armazenada em Geometry, não se preocupe, você pode transformar seus dados em tempo de execução para Geography e obter resultados mais precisos em suas medições.

Fonte: webgis.tech
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11:07
WhereGroup: Plugins – praktische Helfer in QGIS
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Dieses Mal stellen wir Ihnen eine Auswahl von fünf nützlichen Plugins aus den über 2.000 Plugins für QGIS, die Ihnen bei Ihrer täglichen Arbeit weiterhelfen.
11:00
Mappery: Surficial geology of Maine
sur Planet OSGeo

Doug shared this – Surficial geology of Maine #MapsintheWild @ Watershed Art Center Newcastle, Maine

If like me you thought Surficial Geology was a typo, read and learn
MapsintheWild Surficial geology of Maine
2:00
PostGIS Development: PostGIS 3.4.3
sur Planet OSGeo
The PostGIS Team is pleased to release PostGIS 3.4.3!

This version requires PostgreSQL 12-17, GEOS 3.8+, and Proj 6.1+. To take advantage of all features, GEOS 3.12+ is needed. To take advantage of all SFCGAL features, SFCGAL 1.5+ is needed.
3.4.3
- source download md5
- NEWS
- PDF docs: en, ja, fr
03 September 2024
18:42
Oslandia: (Fr) Variabilisez vos profils QGIS avec QDT
sur Planet OSGeo

Sorry, this entry is only available in French.
14:00
Fernando Quadro: Inteligência Artificial, GIS e Smart Cities
sur Planet OSGeo

As cidades inteligentes representam o futuro da vida urbana, integrando tecnologia e soluções baseadas em dados para aumentar a eficiência, a sustentabilidade e a qualidade de vida dos residentes. No centro do desenvolvimento das cidades inteligentes está o papel da inteligência artificial (IA) nos Sistemas de Informação Geográfica (GIS), revolucionando a forma como as cidades planejam, otimizam e gerem infraestruturas críticas, como redes de transporte, serviços públicos e serviços públicos.

Nesta postagem falaremos um pouco sobre o papel multifacetado da IA ??no GIS para o planejamento de infraestrutura de cidades inteligentes, com foco em suas implicações e benefícios para o desenvolvimento urbano.

O planeamento de infraestruturas de cidades inteligentes abrange uma vasta gama de elementos, desde sistemas de transporte inteligentes e serviços públicos energeticamente eficientes até serviços públicos responsivos e desenvolvimento urbano sustentável. O GIS alimentado por IA desempenha um papel fundamental neste processo, aproveitando dados espaciais, análises preditivas e monitoramento em tempo real para otimizar o projeto, operação e manutenção de infraestrutura para cidades inteligentes e resilientes.

Aplicações de IA no planejamento de infraestrutura de cidades inteligentes:

Otimização de Transporte
Gestão de Utilidades e Eficiência Energética
Prestação de serviço público
Monitoramento Ambiental e Sustentabilidade

Benefícios da IA ??no planejamento de infraestrutura de cidades inteligentes:

Maior eficiência e otimização de recursos
Tomada de decisão baseada em dados
Melhor experiência do cidadão e qualidade de vida
Desenvolvimento Sustentável e Resiliência

Embora a IA traga benefícios significativos para o planeamento de infraestruturas de cidades inteligentes, desafios como a privacidade de dados, a segurança cibernética, a parcialidade dos algoritmos, a conformidade regulamentar e a equidade digital precisam de ser abordados. Isto requer quadros de governação robustos, envolvimento das partes interessadas, práticas éticas de IA e estratégias de planeamento urbano inclusivas para o desenvolvimento equitativo e sustentável de cidades inteligentes.

Concluindo, o SIG alimentado por IA está a transformar o cenário do planeamento de infraestruturas de cidades inteligentes, oferecendo oportunidades sem precedentes de eficiência, sustentabilidade e inovação no desenvolvimento urbano. Ao aproveitar as capacidades da IA, as cidades podem otimizar a infraestrutura, melhorar a prestação de serviços e criar ambientes urbanos mais habitáveis ??e resilientes para as gerações vindouras. Adotar a IA no planejamento de cidades inteligentes não se trata apenas de avanço tecnológico – trata-se de construir cidades mais inteligentes, mais conectadas e sustentáveis ??que beneficiem a todos.

Fonte: webgis.tech
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11:00
Mappery: Pijnacker-Nootdorp
sur Planet OSGeo

Eric said “Today I visited the municipality of Pijnacker-Nootdorp. There’s a beautiful #mapsinthewild carpet in the Council Chamber (with even half of Delft on it)”

MapsintheWild Pijnacker-Nootdorp
1:16
Sean Gillies: August 22, 2018: Paris in a Day
sur Planet OSGeo

Six years ago my family and I spent some time in France, passing through Lyon and Paris on the way back to Colorado. While Ruth stayed behind at a conference in Montpellier, Arabelle, Bea, and I did Paris in a day. We saw many bones, ate much gelato, hiked many stairs, rode many trains and buses, and enjoyed being together, seeing new places, and using our second language in one of the world's capitals. I cherish my memories of this day. I felt like I was killing the fun Francophile dad role and thoroughly enjoyed the company of my kids. I had a memorable time. We confirmed in June that Arabelle and Bea have strong, positive memories, as well.

I went to Instagram for the first time in years to dig up a photo taken on that day that I haven't published on my blog before.

A child in a blue top making a peace sign in front of the Eiffel Tower and waxing moon.

We didn't go back to the Trocadero in June, assuming that it was closed for Olympics construction, but we did go back to Montmartre and Sacre Coeur. Both Arabelle and Bea have been cultivating Spanish as a third language since 2018 and had a chance to use it on our recent visit. We encountered a Spanish kid of Bea's age who had been separated from her parents and kept her company until we could reach her mom on the phone. She had no phone of her own, but had memorized key numbers.
02 September 2024
22:13
Fernando Quadro: PostGIS e a Inteligência Artificial
sur Planet OSGeo

No atual cenário empresarial acelerado, aproveitar os dados de localização pode proporcionar uma vantagem competitiva significativa. Desde a otimização da logística e das rotas de entrega até à melhoria das experiências dos clientes através de serviços baseados em localização, a capacidade de extrair informações valiosas de dados geográficos é fundamental.

Como você já deve saber o PostGIS é uma extensão de código aberto amplamente utilizada que adiciona suporte para objetos geográficos, permitindo que consultas SQL espaciais sejam executadas dentro do sistema de gerenciamento de banco de dados PostgreSQL. O Postgres-AI, por outro lado, é uma extensão introduzida recentemente que traz recursos de aprendizado de máquina (ML) diretamente para o PostgreSQL, permitindo treinamento e inferência de modelos no banco de dados.

A integração do PostGIS e do Postgres-AI abre inúmeras possibilidades para inteligência de localização e análise de dados espaciais, incluindo:

Seleção de sites de varejo e análise de mercado
Logística e otimização da cadeia de suprimentos
Modelagem preditiva para serviços baseados em localização
Planejamento urbano e desenvolvimento de infraestrutura
Monitoramento ambiental e esforços de conservação
Marketing direcionado e segmentação de clientes

Ao aproveitar essas ferramentas poderosas, as organizações podem tomar decisões baseadas em dados, otimizar operações e aprimorar sua compreensão de padrões e relacionamentos geográficos, ao mesmo tempo em que aproveitam o poder do aprendizado de máquina.

Fonte: webgis.tech
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11:00
Mappery: Around the Globe
sur Planet OSGeo

From Reinder “… the title means something like ‘Around the globe’. Needs no further explanation I presume” – nope!
MapsintheWild Around the Globe
01 September 2024
12:12
TorchGeo: v0.6.0
sur Planet OSGeo
TorchGeo 0.6.0 Release Notes
TorchGeo 0.6 adds 18 new datasets, 15 new datamodules, and 27 new pre-trained models, encompassing 11 months of hard work by 23 contributors from around the world.
Highlights of this release Multimodal foundation models

There are thousands of Earth observation satellites orbiting the Earth at any given time. Historically, in order to use one of these satellites in a deep learning pipeline, you would first need to collect millions of manually-labeled images from this sensor in order to train a model. Self-supervised learning enabled label-free pre-training, but still required millions of diverse sensor-specific images, making it difficult to use newly launched or expensive commercial satellites.

TorchGeo 0.6 adds multiple new multimodal foundation models capable of being used with imagery from any satellite/sensor, even ones the model was not explicitly trained on. While GASSL and Scale-MAE only support RGB images, DOFA supports RGB, SAR, MSI, and HSI with any number of spectral bands. It uses a novel wavelength-based encoder to map the spectral wavelength of each band to a known range of wavelengths seen during training.

The following table describes the dynamic spatial (resolution), temporal (time span), and/or spectral (wavelength) support, either via their training data (implicit) or via their model architecture (explicit), offered by each of these models:

Model Spatial Temporal Spectral

DOFA implicit - explicit

GASSL implicit - -

Scale-MAE explicit - -

TorchGeo 0.6 also adds multiple new unimodal foundation models, including DeCUR and SatlasPretrain.
Source Cooperative migration

TorchGeo contains a number of datasets from the recently defunct Radiant MLHub:
These datasets were recently migrated to Source Cooperative (and AWS in the case of SpaceNet), but with a completely different file format and directory structure. It took a lot of effort, but we have finally ported all of these datasets to the new download location and file hierarchy. As an added bonus, the new data loader code is significantly simpler, allowing us to remove 2.5K lines of code in the process!
OSGeo community project

TorchGeo is now officially a member of the OSGeo community! OSGeo is a not-for-profit foundation for open source geospatial software, providing financial, organizational, and legal support. We are in good company, with other OSGeo projects including GDAL, PROJ, GEOS, QGIS, and PostGIS. Membership in OSGeo promotes advertising of TorchGeo to the community, and also ensures that we follow best practices for the stability, health, and interoperability of the open source geospatial ecosystem.

All TorchGeo users are encouraged to join us on Slack, join our Hugging Face organization, and join us in OSGeo using any of the following badges in our README:

Lightning Studios support

TorchGeo has always had a close collaboration with Lightning AI, including active contributions to PyTorch Lightning and TorchMetrics. In this release, we added buttons allowing users to launch our tutorial notebooks in the new Lightning Studios platform. Lightning Studios is a more powerful version of Google Colab, with reproducible software and data environments allowing you to pick up where you left off, VS Code and terminal support, and the ability to quickly scale up to a large number of GPUs. All TorchGeo tutorials have been confirmed to work in both Lightning Studios and Google Colab, allowing users to get started with TorchGeo without having to invest in their own hardware.
Backwards-incompatible changes
- All Radiant MLHub datasets have been ported to the Source Cooperative file hierarchy (#1830)
- GeoDataset: the bbox sample key was renamed to bounds in order to support Kornia (#2199)
- Chesapeake7 and Chesapeake13: datasets were removed when updating to the 2022 edition (#2214)
- Benin Cashews and Rwanda Field Boundary: remove os.path.expanduser for consistency (#1705)
- LEVIR-CD and OSCD: images key was split into image1 and image2 for change detection (#1684, #1696)
- EuroSAT: B08A was renamed to B8A to match Sentinel-2 (#1646)
Dependencies New (optional) dependencies
- aws-cli: to download datasets from AWS (#2203)
- azcopy: to download datasets from Azure (#2064)
- prettier: for YAML file formatting (#2018)
- ruff: for code style and documentation testing (#1994)
Removed (optional) dependencies
- radiant-mlhub: website no longer exists (#1830)
- rarfile: datasets rehosted as zip files (#2210)
- zipfile-deflate: no longer needed for newer Chesapeake data (#2214)
- black: replaced by ruff (#1994)
- flake8: replaced by ruff (#1994)
- isort: replaced by ruff (#1994)
- pydocstyle: replaced by ruff (#1994)
- pyupgrade: replaced by ruff (#1994)
Changes to existing dependencies
- python: 3.10+ required following SPEC 0 (#1966)
- fiona: 1.8.21+ required (#1966)
- kornia: 0.7.3+ required (#1979, #2144)
- lightly: 1.4.5+ required (#2196)
- lightning: 2.3 not supported due to bug (#2155, #2211)
- matplotlib: 3.5+ required (#1966)
- numpy: 1.21.2+ required (#1966), numpy 2 support added (#2151)
- pandas: 1.3.3+ required (#1966)
- pillow: 3.3+ required (#1966), jpeg2000 support required (#2209)
- pyproj: 3.3+ required (#1966)
- rasterio: 1.3+ required (#1966)
- shapely: 1.8+ required (#1966)
- torch: 1.13+ required (#1358)
- torchvision: 0.14+ required (#1358)
- h5py: 3.6+ required (#1966)
- opencv: 4.5.4+ required (#1966)
- pycocotools: 2.0.7+ required (#1966)
- scikit-image: 0.19+ required (#1966)
- scipy: 1.7.2+ required (#1966)
Datamodules New datamodules
- AgriFieldNet (#1873)
- CaBuAr (#2235)
- ChaBuD (#1259)
- Digital Typhoon (#1748)
- EuroSAT Spatial (#2074)
- GeoNRW (#2209)
- I/O Bench (#1972)
- LEVIR-CD (#1770)
- LEVIR-CD+ (#1707)
- QuakeSet (#1997)
- Sentinel-2 + CDL (#1889)
- Sentinel-2 + EuroCrops (#1869)
- Sentinel-2 + NCCM (#1950)
- Sentinel-2 + South America Soybean (#1959)
- South Africa Crop Type (#1970)
- VHR-10 (#1082)
Changes to existing datamodules
- Remove torchgeo.datamodules.utils.dataset_split (#2005)
- EuroSAT: make sure normalization is actually applied (#2176)
Changes to existing base classes
- Fix plotting in datamodules when dataset is a subset (#2003)
Datasets New datasets
- AgriFieldNet (#1459)
- Airphen (#1803)
- CaBuAr (#2235)
- ChaBuD (#1259)
- CropHarvest (#1677)
- Digital Typhoon (#1748)
- EuroCrops (#1813)
- EuroSAT Spatial (#2074)
- GeoNRW (#2209)
- I/O Bench (#1972)
- LEVIR-CD (#1770)
- Northeast China Crop Map (#1666)
- PRISMA (#1743)
- QuakeSet (#1997)
- SkyScript (#2253)
- South Africa Crop Type (#1840)
- South America Soybean (#1668)
- SpaceNet 8 (#2203)
Changes to existing datasets
- Benin Cashews: migrate to Source Cooperative (#2116)
- Benin Cashews: remove os.path.expanduser for consistency (#1705)
- BigEarthNet: fix broken download link (#2174)
- CDL: add 2023 checksum (#1844)
- Chesapeake: update to 2022 edition (#2214)
- ChesapeakeCVPR: reuse NLCD colormap (#1690)
- Cloud Cover: migrate to Source Cooperative (#2117)
- CV4A Kenya Crop Type: migrate to Source Cooperative (#2090)
- EuroSAT: rename B08A to B8A to match Sentinel-2 (#1646)
- FireRisk: redistribute on Hugging Face (#2000)
- GlobBiomass: add min/max timestamp (#2086)
- GlobBiomass: use float32 for pixelwise regression mask (#2086)
- GlobBiomass: fix length of dataset (#2086)
- L7 Irish: convert to IntersectionDataset (#2034)
- L8 Biome: convert to IntersectionDataset (#2058)
- LEVIR-CD+: split image into image1 and image2 for change detection (#1696)
- NASA Marine Debris: migrate to Source Cooperative (#2206)
- OSCD: support fine-grained band selection (#1684)
- OSCD: split image into image1 and image2 for change detection (#1696)
- PatternNet: redistribute on Hugging Face (#2100)
- RESISC45: redistribute on Hugging Face (#2210)
- Rwanda Field Boundary: don't plot empty masks during testing (#2254)
- Rwanda Field Boundary: migrate to Source Cooperative (#2118)
- Rwanda Field Boundary: remove os.path.expanduser for consistency (#1705)
- SpaceNet 1–7: migrate to Source Cooperative (#2203)
- Tropical Cyclone: migrate to Source Cooperative (#2068)
- VHR-10: redistribute on Hugging Face (#2210)
- VHR-10: improved plotting (#2092)
- Wester USA Live Fuel Moisture: migrate to Source Cooperative (#2206)
Changes to existing base classes
- Add support for pathlib.Path to all datasets (#2173)
- Datasets can now use command-line utilities to download (#2064)
- GeoDataset: bbox key was renamed to bounds (#2199)
- GeoDataset: ignore other bands for separate files (#2222)
- GeoDataset: don't warn about missing files for downloadable datasets (#2033)
- RasterDataset: allow subclasses to specify which resampling algorithm to use (#2015)
- RasterDataset: use nearest neighbors for int and bilinear for float by default (#2015)
- RasterDataset: calculate resolution after changing CRS (#2193)
- RasterDataset: support date_str containing % character (#2233)
- RasterDataset: users can now specify the min/max time of a dataset (#2086)
- VectorDataset: add dtype attribute to match RasterDataset (#1869)
- VectorDataset: extract timestamp from filename to match RasterDataset (#1814)
- IntersectionDataset: ignore 0 area overlap (#1985)
New error classes
- DatasetNotFoundError: when a dataset has not yet been downloaded (#1714, #2053)
- DependencyNotFoundError: when an optional dependency is not installed (#2054)
- RGBBandsMIssingError: when you try to plot a dataset but don't use RGB bands (#1737, #2053)
Models New model architectures
- DOFA (#1903, #2052)
- Scale-MAE (#2057)
- Swin Transformer v2 (#1358, #2052)
New model weights
- DeCUR (#2191)
- DOFA (#1903)
- Scale-MAE (#2057)
- SatlasPretrain (#1358, #1884, #2038)
Samplers Changes to existing samplers
- RandomGeoSampler: fix performance regression, 60% speedup with preprocessed data (#1968)
Trainers New trainers
- I/O Bench (#1972)
Changes to existing trainers
- Explicitly specify batch size (#1928, #1933)
- MoCo: explicitly specify memory bank size (#1931)
- Semantic Segmentation: support ingore_index when using Jaccard loss (#1898)
- SimCLR: switch from Adam to LARS optimizer (#2196)
- SimCLR: explicitly specify memory bank size (#1931)
Transforms
- Use Kornia's AugmentationSequential for all model weights (#1979)
- Update TorchGeo's AugmentationSequential to support object detection (#1082)
Documentation Changes to API docs
- Datasets: add license information about every dataset (#1732)
- Datasets: update link to cite SSL4EO-L dataset (#1942)
- Models: emphasize new multimodal foundation models (#2236)
- Trainers: update num_classes parameter description (#2101)
Changes to user docs
- Alternatives: update metrics (#2259)
- Contributing: explain how to use new I/O Bench dataset (#1972)
Changes to tutorials
- Add button for the new Lightning Studios (#2146)
- Remove button for the recently defunct Planetary Computer Hub (#2107)
- Custom Raster Datasets: download the dataset before calling super (#2177)
- Custom Raster Datasets: fix typo (#1987)
- Transforms: update EuroSAT band names to match Sentinel-2 (#1646)
Other documentation changes
- README: fix CLI example (#2142)
- README: add Hugging Face badge (#1957)
- README: fix example of creating fake raster data (#2162)
- Read the Docs: use latest Ubuntu version to build (#1954)
- Allow horizontal scrolling of wide tables (#1958)
- Fix broken links and redirects (#2267)
Testing Style
- Use prettier for configuration files (#2018)
- Use ruff for code files (#1994, #2001)
Type hints
- Ensure all functions have type hints (#2217)
- Make all class variables immutable (#2218)
- Check for unreachable code (#2241)
Unit testing
- Datasets: test dataset length (#2084, #2089)
- Datamodules: don't download during testing (#2215, #2231)
- download_url: add shared fixture to avoid code duplication (#2232)
- load_state_dict: add shared fixture to avoid code duplication (#1932)
- load_state_dict_from_url: add shared fixture to avoid code duplication (#2223)
- torch_hub: add fixture to avoid downloading checkpoints to home directory (#2265)
- Pytest: silence warnings (#1929, #1930, #2224)
- PyVista: headless plotting (#1667)
Other CI changes
- Check numpy 2 compliance (#2151)
- Coverage: use newer flag to override ignores (#2260)
- Dependabot: update devcontainer (#2025)
- Dependabot: group torch and torchvision (#2025)
- Labeler: update to v5 (#1759)
- macOS: disable pip caching (#2024)
- Windows: fail fast mode (#2225)
Contributors
This release is thanks to the following contributors:

@adamjstewart
@alhridoy
@ashnair1
@burakekim
@calebrob6
@cookie-kyu
@DarthReca
@Domejko
@favyen2
@GeorgeHuber
@isaaccorley
@kcrans
@nilsleh
@oddeirikigland
@pioneerHitesh
@piperwolters
@robmarkcole
@sfalkena
@ShadowXZT
@shreyakannan1205
@TropicolX
@wangyi111
@yichiac
11:00
Mappery: Lambeth Palace
sur Planet OSGeo

Simon Wrigley found this beautiful window near the entrance to Lambeth Palace.

Rounding the corner, He found it was not one window but two – one with each hemisphere of the globe. It looks like a Nicolosi Globular Projection, which is a Double hemispheric polyconic map projection

MapsintheWild Lambeth Palace
31 August 2024
11:00
Mappery: It’s a Squishy World
sur Planet OSGeo

Barry shared this pic of a globe style stress ball, I think it may originate from a proprietary software vendor
MapsintheWild It’s a Squishy World
30 August 2024
11:00
Mappery: Collette
sur Planet OSGeo

Reinder shared this pic of a shop window display “Cartographically inspired shop window of the 2nd hand bookshop Colette in The Hague”
MapsintheWild Collette
29 August 2024

Model	Spatial	Temporal	Spectral
DOFA	implicit	-	explicit
GASSL	implicit	-	-
Scale-MAE	explicit	-	-

20:15

Free and Open Source GIS Ramblings: Building spatial analysis assistants using OpenAI’s Assistant API

sur Planet OSGeo

Earlier this year, I shared my experience using ChatGPT’s Data Analyst web interface for analyzing spatiotemporal data in the post “ChatGPT Data Analyst vs. Movement Data”. The Data Analyst web interface, while user-friendly, is not equipped to handle all types of spatial data tasks, particularly those involving more complex or large-scale datasets. Additionally, because the code is executed on a remote server, we’re limited to the libraries and tools available in that environment. I’ve often encountered situations where the Data Analyst simply doesn’t have access to the necessary libraries in its Python environment, which can be frustrating if you need specific GIS functionality.

Today, we’ll therefore start to explore alternatives to ChatGPT’s Data Analyst Web Interface, specifically, the OpenAI Assistant API. Later, I plan to dive deeper into even more flexible approaches, like Langchain’s Pandas DataFrame Agents. We’ll explore these options using spatial analysis workflow, such as:

Loading a zipped shapefile and investigate its content
Finding the three largest cities in the dataset
Selecting all cities in a region, e.g. in Scandinavia from the dataset
Creating static and interactive maps

To try the code below, you’ll need an OpenAI account with a few dollars on it. While gpt-3.5-turbo is quite cheap, using gpt-4o with the Assistant API can get costly fast.

OpenAI Assistant API

The OpenAI Assistant API allows us to create a custom data analysis environment where we can interact with our spatial datasets programmatically. To write the following code, I used the assistant quickstart and related docs (yes, shockingly, ChatGPT wasn’t very helpful for writing this code).

Like with Data Analyst, we need to upload the zipped shapefile to the server to make it available to the assistant. Then we can proceed to ask it questions and task it to perform analytics and create maps.

from openai import OpenAI

client = OpenAI()

file = client.files.create(
  file=open("H:/ne_110m_populated_places_simple.zip", "rb"),
  purpose='assistants'
)

Then we can hand the file over to the assistant:

assistant = client.beta.assistants.create(
  name="GIS Analyst",
  instructions="You are a personal GIS data analyst. Write and rund code to answer geospatial analysis questions",
  tools=[{"type": "code_interpreter"}],
  model="gpt-3.5-turbo",  # or "gpt-4o"
  tool_resources={
    "code_interpreter": {
      "file_ids": [file.id]
    }
  }  
)

Then we can start asking questions and giving our assistant tasks:

thread = client.beta.threads.create()

message = client.beta.threads.messages.create(
  thread_id=thread.id,
  role="user",
  content="Please load the zipped shapefile and describe the content"
)

assistant > The shapefile has been successfully loaded as a GeoDataFrame with the following details:

- The GeoDataFrame has 243 entries.
- It contains a total of 38 columns with various data types including integer, float, and object types.
- One of the columns is a geometry column representing the spatial information.

If you have any specific analysis or visualizations you would like to perform on this data, feel free to let me know!

The docs have a nice example for how to stream the answers back, e.g. into a Jupyter notebook. I’ve used it to create a small convenience function:

def ask_another_question(question):
    message = client.beta.threads.messages.create(
        thread_id=thread.id,
        role="user",
        content=question
    )
    with client.beta.threads.runs.stream(
        thread_id=thread.id,
        assistant_id=assistant.id,
        event_handler=EventHandler(),
    ) as stream:
        stream.until_done()

ask_another_question("Please list the three largest cities")

assistant > code_interpreter

# Sort the GeoDataFrame by the population in descending order
largest_cities = gdf.sort_values(by='pop_max', ascending=False).head(3)[['name', 'pop_max']]
largest_cities
assistant > The three largest cities in the dataset, along with their maximum population numbers, are as follows:

1. Tokyo: 35,676,000
2. New York: 19,040,000
3. Mexico City: 19,028,000

These cities have the highest recorded maximum population numbers in the dataset. Let me know if you need any further information or analysis!

ask_another_question("extract all scandinavian cities ")

assistant > To extract all the Scandinavian cities from the dataset, we can filter the GeoDataFrame based on the countries typically considered part of Scandinavia. These countries include Norway, Sweden, Denmark, Finland, and sometimes Iceland. Let's filter the GeoDataFrame to extract the Scandinavian cities.
assistant > code_interpreter

# List of countries typically considered part of Scandinavia
scandinavian_countries = ['Norway', 'Sweden', 'Denmark', 'Finland', 'Iceland']

# Filter the GeoDataFrame for Scandinavian cities
scandinavian_cities = gdf[gdf['adm0name'].isin(scandinavian_countries)][['name', 'adm0name']]

scandinavian_cities.head()  # Displaying the first few Scandinavian cities
assistant > Here are some of the Scandinavian cities extracted from the dataset:

1. Reykjavík, Iceland
2. Oslo, Norway
3. Helsinki, Finland
4. København (Copenhagen), Denmark
5. Stockholm, Sweden

These are just a few examples of Scandinavian cities present in the dataset. If you would like the complete list or perform any specific analysis on these cities, feel free to let me know!

ask_another_question(
    "please create a world map with all cities (use gray circles) "
    "with scandinavian cities highlighted as red circles. "
)

assistant > To create a world map with all cities represented as gray circles and Scandinavian cities highlighted as red circles, we will use the GeoPandas library for mapping. Let's go ahead and create the map.
assistant > code_interpreter

import matplotlib.pyplot as plt

# Plot all cities with gray circles and Scandinavian cities with red circles
fig, ax = plt.subplots(figsize=(12, 8))

# Plot all cities in gray circles
gdf.plot(ax=ax, color='lightgrey', markersize=5)

# Plot Scandinavian cities in red circles
scandinavian_cities.plot(ax=ax, color='red', markersize=50, edgecolor='black', label='Scandinavian Cities')

# Set the title
ax.set_title('World Map with Scandinavian Cities Highlighted', fontsize=16)

# Add legend
ax.legend()

# Display the map
plt.show()
assistant > It seems that there was an error while plotting the map because the GeoDataFrame `scandinavian_cities` does not have the necessary numeric data to plot the map directly.
...
plt.show()

output >

assistant > Here is the world map with all cities represented as gray circles and Scandinavian cities highlighted as red circles. The map provides a visual representation of the locations of the Scandinavian cities in relation to the rest of the cities around the world. If you need any further assistance or modifications, feel free to let me know!

To load and show the image, we can use:

import matplotlib.pyplot as plt
import matplotlib.image as mpimg

def show_image():
    messages = client.beta.threads.messages.list(thread_id=thread.id)

    for m in messages.data:
        if m.role == "user":
            continue
        if m.content[0].type == 'image_file':
            m.content[0].image_file.file_id
            image_data = client.files.content(messages.data[0].content[0].image_file.file_id)
            image_data_bytes = image_data.read()
            with open("./out/my-image.png", "wb") as file:
                file.write(image_data_bytes)
            image = mpimg.imread("./out/my-image.png")
            plt.imshow(image)
            plt.box(False)
            plt.xticks([])
            plt.yticks([])
            plt.show() 
            break

Asking for an interactive map in an html file works in a similar fashion.

You can see the whole analysis workflow it in action here:

This way, we can use ChatGPT to perform data analysis from the comfort of our Jupyter notebooks. However, it’s important to note that, like the Data Analyst, the code we execute with the Assistant API runs on a remote server. So, again, we are restricted to the libraries available in that server environment. This is an issue we will address next time, when we look into Langchain.

Conclusion

ChatGPT’s Data Analyst Web Interface and the OpenAI Assistant API both come with their own advantages and disadvantages.

The results can be quite random. In the Scandinavia example, every run can produce slightly different results. Sometimes the results just use different assumptions such as, e.g. Finland and Iceland being part of Scandinavia or not, other times, they can be outright wrong.

As always, I’m interested to hear your experiences and thoughts. Have you been testing the LLM plugins for QGIS when they originally came out?

11:00
Mappery: Topo Map Chocolate
sur Planet OSGeo

Ben shared this delicious looking topo chocolate
MapsintheWild Topo Map Chocolate
2:00
EOX' blog: Sentinel-2 Cloudless 2023
sur Planet OSGeo

We are thrilled to announce the latest release of EOxCloudless 2023 imagery. Whether you are an existing customer or new to EOxCloudless, this latest update offers clarity with beautiful sceneries and is designed to meet the needs of our users in a convenient way. With the everchanging and more cha ...
28 August 2024
16:51
Oslandia: (Fr) [Story] Oslandia x QWC : épisode 1 / 8
sur Planet OSGeo

Sorry, this entry is only available in French.
11:00
Mappery: Deventer
sur Planet OSGeo

Reinder sent these pics from the second hand book market in Deventer “… at the largest 2nd hand book market of Europe (August 4, 2024) of course there was also some cartographical material for sale.”

MapsintheWild Deventer
27 August 2024
11:00
Mappery: Keighley & Worth Valley Railway
sur Planet OSGeo

Doug shared this old railway map, you might think this an old relic that he spotted but – no! This 150 year old railway line closed in 1962 and was reopened a few years later, you can read more here and you can still travel on the line.
MapsintheWild Keighley & Worth Valley Railway
26 August 2024
11:23
GeoTools Team: GeoTools 30.5 released
sur Planet OSGeo

   The GeoTools team is pleased to the release of the latest stable version of GeoTools 30.5:geotools-30.5-bin.zip geotools-30.5-doc.zip geotools-30.5-userguide.zip geotools-30.5-project.zip This release is also available from the OSGeo Maven Repository and is made in conjunction with GeoServer 2.24.5. The release was made by Andrea Aime (Geosolutions)
11:00
Mappery: Globe Teapot
sur Planet OSGeo

Another one from Reinder Storm. “Don’t remember whether I sent this before, don’t remember where and when I saw this one – but I do know that I like it …”

I am sure the tea will have an international flavour in this pot.
MapsintheWild Globe Teapot
25 August 2024
11:00
Mappery: Mount Rainier Time Map
sur Planet OSGeo

Another pic from Krista Mott’s roadtrip. “At Mount Rainier National Park there was one of the felled Douglas-fir, that began to grow in 1293, depicts a map of time”

I am expecting a bit of “That’s not a map!” feedback but it sure looks like one to me and it definitely is wild.
MapsintheWild Mount Rainier Time Map
24 August 2024
11:00
Mappery: Phillipines in Ipswich, Massachusetts
sur Planet OSGeo

Judy Tymon sent us this pic “I found this map at a new local cafe here in Ipswich Massachusetts. The cafe is called “The M Cafe”, M for Manila, capital of the Philippines. I liked it because it shows the outline of the country along with the lat/long. And of course the cafe is owned by a woman from the Philippines.”

MapsintheWild Phillipines in Ipswich, Massachusetts
23 August 2024
18:30
Free and Open Source GIS Ramblings: MovingPandas 0.19 released!
sur Planet OSGeo
This release is the first to support GeoPandas 1.0.

Additionally, this release adds multiple new features, including:
- New explore() function adds interactive folium / leaflet maps
- New support for mfjson trajectory
For the full change log, check out the release page.

We have also revamped the documentation at [https:]] using the PyData Sphinx Theme:

On a related note: if you know what I need to change to get all Trajectory functions listed in the TOC on the right, please let me know.
12:56
geomatico: Ética y economia: ¿son viables los proyectos geoespaciales de software libre?
sur Planet OSGeo

Pièce jointe: [télécharger]
Jornadas SIG Libre 2024

En la XVII edición de las Jornadas de SIG Libre, debate plenario sobre «viabilidad económica de los proyectos de software libre en datos geoespaciales» en el que participamos con Òscar Fonts, nuestro CTO.
- 0:00 Introducción Gemma Boix, directora del SIGTE – UdG
- 2:30 Angelos Tzotsos (OSGeo)
- 29:20 Óscar Fonts (Geomatico)
- 42:40 Josep Lluís Sala (BGeo)
- 55:30 Iván Sánchez
11:00
Mappery: Light Pollution in the Netherlands
sur Planet OSGeo

Reinder shared these stamps “These stamps were issued in The Netherlands in 2015. They present an image of light pollution. Artist / designer Daan Roosegaarde has created these illuminated stamps for PostNL. The stamp sheet shows a modern map of the Netherlands on a clear night in spring. The stamps provide insight into the daily use of light.”

We haven’t had that many maps in the wild stamps, surely there must be a load more out there?
MapsintheWild Light Pollution in the Netherlands
22 August 2024
11:00
Mappery: Where do you come from?
sur Planet OSGeo

Krista Mott sent us this pic from her roadtrip in the north west US. “On the way home, we stopped in Seattle at Pike Place Market where I found this “Show us where you came from!” map. Quite a great representation of visitors from around the world.

MapsintheWild Where do you come from?
21 August 2024
11:00
Mappery: Global Architectural Salvage
sur Planet OSGeo

Reinder is on form at the moment with a string of great pics.

“in a shop / workplace where they sell (an awful lot of) antique building materials. I’m not sure whether this is stained glass — or some other technique. I’m sure that I like it!” – we like it too, I think it is painted glass rather than stained
Screenshot
MapsintheWild Global Architectural Salvage
20 August 2024
11:00
Mappery: The Places of Hawaii
sur Planet OSGeo

Scott Simmons sent us a pic of this superb sticker from Hawaii, “I found this great sticker on a recent vacation to the island of Hawai’i. The place names are all in their approximate correct location and the artist cleverly chose more important names to prioritize, while still filling the map quite evenly.”

Let’s have some more of these
MapsintheWild The Places of Hawaii
19 August 2024
11:00
Mappery: The Parade
sur Planet OSGeo

Reinder shared these pics of a gig that he saw recently, the band seem to be very into globes and maps.

“… on the Parade: a travelling theatrical festival in the Netherlands, 18^th of July 2024. Cf [https:]] .

“Pop-music meets theater in a light-hearted and quirky concert. Looking at the mysterious word “fundamental”, these men create a bit of chaos in all order. Don’t we see the world fundamentally different than it really is: a dustball in the wind?”

I did quite like it and hope you do as well.”

We say what’s not to like (except possibly the music)
MapsintheWild The Parade
18 August 2024
11:00
Mappery: Trollhatte Kanal
sur Planet OSGeo

Marc-Tobias spotted this van “Seen in [https:]] Includes a scale in kilometers and proper compass!”

That’s the first time I have seen a scale bar on an a map in the wild

MapsintheWild Trollhatte Kanal
2:00
GeoServer Team: GeoServer 2.24.5 Release
sur Planet OSGeo
GeoServer 2.24.5 release is now available with downloads (bin, war, windows), along with docs and extensions.

This is a maintenance release of GeoServer providing existing installations with minor updates and bug fixes. GeoServer 2.24.5 is made in conjunction with GeoTools 30.5, and GeoWebCache 1.24.5.

Thanks to Andrea Aime for making this release.
Release notes
Improvement:
- GEOS-11336 security-keycloak: upgrade keycloak version
- GEOS-11443 REST API does not take effect immediately due to 10 minute authentication cache
- GEOS-11463 WMS vector dimension validation should query only one feature and only for dimension attribute
- GEOS-11502 Permit resize on user/group/role palette textbox to allow for extra long role names
Bug:
- GEOS-11446 [INSPIRE] Incorrect behavior for unsupported languages
- GEOS-11453 Failure to look-up default value of custom dimensions on vector layers
- GEOS-11462 500 error thrown when double adding a user to a group via REST with JDBC user/group services
- GEOS-11484 DirectRasterRenderer is not respecting advancedProjectionHandling and continuosMapWrapping format_options
- GEOS-11493 Azure blob store may not get environment parameters from property file
Task:
- GEOS-11464 Update Jackson 2 libs from 2.17.1 to 2.17.2
For the complete list see 2.24.5 release notes.
Community Updates
Community module development:
- GEOS-11111 Open search for EO community module: STAC search page has wrong self link
Community modules are shared as source code to encourage collaboration. If a topic being explored is of interest to you, please contact the module developer to offer assistance.
About GeoServer 2.24 Series
Additional information on GeoServer 2.24 series:
Release notes: ( 2.24.5 | 2.24.4 | 2.24.3 | 2.24.2 | 2.24.1 | 2.24.0 | 2.24-RC )
17 August 2024
11:00
Mappery: Matthijs Röling
sur Planet OSGeo

Reinder shared this pic of a book cover “Suddenly it occurred to me that the cover of this book by the Dutch writer Jean Pierre Rawie is decorated with a painting by Matthijs Röling, and that he added a globe to this still life.”

MapsintheWild Matthijs Röling
3:38
XYCarto: Cartographic Aotearoa
sur Planet OSGeo
I try hard to keep this blog about basic open source processing in GIS. I don’t spend much time talking about my cartographic work, since I like put it up in the gallery and try to let it speak for itself. Further, 90% of my cartographic products involve processing data before it ever gets to visualization, therefore, I see more value in demonstrating the basic processing and hopefully inspire folks to do their own thing once their data is in place.

If you might indulge me; however, I’d love to toot my own horn as they say and do a write up on my acceptance to the Atlas of Design this year and the honor to do a brief interview with Radio New Zealand (RNZ) about the map.
I know it is a bit cheeky to put up recognition of one’s own work, but this map was the culmination of several years of iterations, heaps of footwork getting it known, and a number of rejections along the way. I’m just so excited to finally get it out there to a wider audience.

Since this is primarily an open source blog about GIS, and that several have asked me about my tech stack I’ll share a portion of it here. If you want to get a feel of some of my blending techniques, you can see some past blogs where I wrote this up.
- Building the Welly Model
- Auckland Viz
As I mentioned above, that vast majority of my cartography is in data prep and making data easier to work in visualization projects. I have a fairly simple tech stack for data prep.
- QGIS – Base map layout. My method is most often to develop the base image here, but do all the post processing for legends, supporting text, graphics, etc in specialized layout software. QGIS is amazing at handling large file types, blending, and making repeatable color palettes. Doing work at a national and world scale is often without issue.
- GDAL – Most used in the stack for prepping large scale raster data. Used more than anything else in GDAL for my vis work is gdalwarp, gdal_translate, gdaladdo, gdalbuildvrt, and gdaldem [hillshade, slope]. These are often used in bash scripts to repeat processes allowing me to easily develop multiple resolutions, scales, and resamples.
- GeoPandas – Used for vectors and primarily for my cleaning to get lighter GPKG files, automating redundant processes like clips, simplification, and table manipulation. It is an amazing tool I use a lot in development too.
- Python/Bash – Used for controlling all the automation and processing. Depending on the complexity of the task at hand, I will bounce between the two. Bash is really great at multi-core processing and can save enormous amounts of time in redundant processes.
- Colorhexa /Gpick – Palette development. Gpick is incredibly helpful in sampling imagery to find a color value you like. You can bring these values into Colorhexa and start to develop gradients and divergent values all the while keeping within your tone. There are many other sites that will help you do this, I just happen to enjoy this one.
- Docker – An unlikely item in a cartographic stack, but Docker has proved invaluable to me by allowing me to run multiple versions of QGIS and GDAL without wrecking my machine. I have a basic QGIS/Docker example here.
For those out there who have supported me on this journey and even those who lurk in the shadows, I cannot thank you enough for reading, liking, and sending me messages letting me know you are out there and find some of this useful. It helps more than you know and motivates me to continue to move forward. Also, tell all your friends!
16 August 2024
16:18
QGIS Blog: Reports from the winning grant proposals 2023
sur Planet OSGeo
With the QGIS Grant Programme 2023, we were able to support six proposals (four in the first round and two in the second round) that are aimed to improve the QGIS project, including software, infrastructure, and documentation. The following reports summarize the work performed in the first four proposals:
1. QGIS Bug Tracker cleanup (#266) – Report
  We have identified and closed ~291 tickets, among them:
  - 162 bugreports and feature requests which were already fixed or implemented
  - 29 bugreports and feature requests which are invalid (data issues, wrong use of functionality, etc)
  - 57 duplicate bugreports and feature requests
  - 5 won’t fix bugreports
  - 5 bugreports were converted to feature requests
  - 33 tickets were closed (does not contain steps to reproduce, test data and no feedback was provided within several month)
  - Additionally we ensured that all tickets has correct tags assigned to to make them easier to find.
2. Porting to C++ and harmonization of Processing algorithms (#271) – Report
  The QGIS Porting to C++ and Harmonisation of Processing Algorithms grant is now complete.
  - Existing Processing algorithms Voronoi Polygons and Delaunay Triangulation have been ported to C++ and now use GEOS instead of the unmaintained Python module.
  - Two algorithms for generating XYZ tiles (directory and MBTiles variants) have been ported to C++ using a safer and cleaner multi-threading approach.
  - The Align Rasters tool, which was not exposed to Processing, has been removed and a new Processing algorithm with the same functionality has been added.
  - The existing Raster Calculator algorithm has been ported to C++. The algorithm now has two variants: a toolbox version that works the same way as before, and a modeler version that uses the same approach to input naming as the GDAL raster calculator.
3. Add vertical CRS handling to QGIS (#267) – Report
  - As of QGIS 3.34, QGIS can now create and handle vertical and compound CRSes.
  - In QGIS 3.34 coordinate transforms were reworked so that they function correctly with vertical transformation, if both the source and destination CRS have vertical components.
  - In QGIS 3.36 the coordinate reference selection widgets were updated to offer choices of 2d only, compound, or vertical only CRSes.
  - In version 3.38, we introduced a new setting for QGIS projects, for their vertical reference system. Users can control this through project properties, and it’s accessible via PyQGIS and via associated expression variables (eg @project_vertical_crs) for use in print layouts.
  - Similarly, in 3.38 we introduced the API support for map layers to have a vertical CRS. (This was not exposed to users in 3.38 though)
  - In QGIS 3.40 so far we have exposed the vertical CRS setting for vector layers to users (via the layer properties dialog), allowing users to specify the associated vertical CRS for these layers. The vertical CRS is respected in elevation profile plots, in Identify tool results, and in 3D Map views (assuming the 3D map is created with an associated vertical CRS).
  - There is an open pull-request for 3.40 to expose the vertical CRS for point cloud layers in a similar way, with the vertical CRS being respected in elevation profiles, identify tool results, and 3D map views
  - We have open pull requests for 3.40 to show layer vertical CRS information in the layer properties “information” pages, and add expression variables at the layer scope (eg @layer_vertical_crs).
4. Improve test result handling on QGIS CI (#268) – Report
  Any tests which fail a rendering comparison will write a descriptive comment to the PR. The comment details which render tests failed, where they are in the code, and includes some helpful pointers to downloading the full test report and the QGIS developer documentation. We also implemented lots of improvements in running the tests locally and how the render test reports are generated and presented to developers.
Thank you to everyone who participated and made this round of grants a great success and thank you to all our sustaining members and donors who make this initiative possible!
11:00
Mappery: yNot Festival
sur Planet OSGeo

Jeremy shared a pic of the recyclable beer glasses at the yNOT festival. Is that a semi-conical projection?
MapsintheWild yNot Festival
10:20
Markus Neteler: GRASS GIS 8.4.0 released
sur Planet OSGeo

The GRASS GIS 8.4.0 release provides more than 520 improvements and fixes with respect to the release 8.3.2.

The post GRASS GIS 8.4.0 released appeared first on Markus Neteler Consulting.
15 August 2024
11:00
Mappery: Zierikzee
sur Planet OSGeo

Reinder sent us this interesting map sculpture “I spotted this specimen of street furniture — in fact: my wife did. What you see is the outline of the island Schouwen-Duiveland, part of the Dutch province Zeeland. The white ball is actually on the spot of the town Zierikzee. Very quiet and charming now, but it has quite a notorious history. “

Well done Mrs Storm!
MapsintheWild Zierikzee
14 August 2024
21:40
Jackie Ng: Announcing: MapGuide Open Source 4.0 Beta 2
sur Planet OSGeo
This took way longer than expected, but the 2nd beta release of MapGuide Open Source is now available.
The main driver for this release is to update our various web tier components to their latest respective versions:
- PHP 8.1.29
- Apache [httpd] 2.4.62
- Apache Tomcat 9.0.89
In addition to that, the Beta 2 release includes the following changes:
- Installer
- Server Tier
- Web Tier
- InstantSetup
- Samples
So with this release out the door, what is next? Well unfortunately, there is still lots of work to do on the API binding and API documentation front, and so in the interests of not having you wait another year between releases, I am now adopting the policy of "however many beta/rc releases required" which implies more frequent beta/rc releases. As one of the major remaining items is completed and/or newer versions of any of our web tier components are available, that will be the trigger for a new beta/rc release.
Download

Note: Trac is a bit flaky right now, so the release notes page may not display. If that happens just retry with browser refreshes. Failing that, you can find all the necessary download links in my release announcement email
15:40
WhereGroup: Plugins entwickeln für PhpStorm am Beispiel von Mapbender
sur Planet OSGeo

Integrierte Entwicklungsumgebungen (IDEs) bringen von Haus aus schon viel Funktionalität mit. Fehlt allerdings noch eine Funktionalität, lässt sich diese oft auch über ein selbst entwickeltes Plugin ergänzen.
11:00
Mappery: Canada Dry
sur Planet OSGeo

Kate shared this “Neat (and mappy!) Final Jeopardy trivia from the other night: “Early 1900s labels for this beverage brand featured a beaver sitting on a log at the top of a map.”

I am wondering whether the “Dry” refers to the taste or Prohibiton
MapsintheWild Canada Dry
13 August 2024
11:00
Mappery: Maps in a Bar
sur Planet OSGeo

When Erik was in Dubrovnik for a conference he ended up in this bar with colleagues. “With the #CLGE delegates you always end up at a #MapsintheWild bar…”
MapsintheWild Maps in a Bar
12 August 2024
11:00
Mappery: The Neighbourhoods of Ghent, piece by piece
sur Planet OSGeo

Pieter is a true map geek.

“I wanted to learn the names of the neighbourhoods in #Ghent, so I made me a #puzzle. I added the neighbourhoods in #OpenStreetMap , then made a custom theme in #MapComplete and use the ‘export as PNG’-functuon. The background is a modified stylesheet for @protomaps“

I did say true map geek!!
MapsintheWild The Neighbourhoods of Ghent, piece by piece
2:28
Sean Gillies: Bear scratch
sur Planet OSGeo

I just emailed the Bear 100 race director, Cody Draper, and said that I'm injured and won't recover in time to start in 6 weeks. I'm also too injured to do Black Squirrel in 3 weeks and will be emailing Nick and Brad next.

What's the injury? When I came home from vacation and started to ramp up my running, my right Achilles tendon became sore and very inflamed. On July 17 I went out for a 30 mile run and had to bail at mile 20. I took some time off from trail running and have been chugging on an elliptical trainer at my gym. Yesterday I tried some running on the bike path behind my house and couldn't even go a mile without excruciating pain. I'm calling it, my season is over. The last time I had serious Achilles tendonitis like this was at the end of my ultimate frisbee career 20 years ago. It took 4 months before I could run without pain. I'm going to keep going to the gym, ice and rest, see some specialists, and get ready for 2025.
11 August 2024
11:00
Mappery: Serbo-Montenegrin Attack on Dubrovnik
sur Planet OSGeo

Erik shared this battle map from Dubrivnik.

MapsintheWild Serbo-Montenegrin Attack on Dubrovnik
10 August 2024

12:05

QGIS Blog: Plugin Update – July, 2024

sur Planet OSGeo

For the last month of July, one short of 30 new plugins were published in the QGIS plugin repository.

Here follows the quick overview in reverse chronological order. If any of the names or short descriptions catches your attention, you can find the direct link to the plugin page in the table below:

MariaDB to QGIS

Fetches longitude (x) and latitude (y) data from MariaDB and writes it to a Shapefile or GeoPackage and adds it to your map.

Print Selection

Outputs selected features to text console.

DeraPro

DeraPro for projects and studies allows the download of the reference spatial data of Andalusia and make a cut of the information for a specific study area.

QPackageQGZ

QPackage is a tool to save both your QGIS project and data contained in the project to a new directory.

ArgentinaGeoServices

A QGIS plugin to import WMS Geoservices from Argentina.

T Vertical Sessions

Used to Vertical Sessions of Lidar Point Cloud.

BuenosAires Converter

A QGIS plugin that converts layers to EPSG:9497.

Make Sector

Plugin to create sector, circle radius, and spidergraph delimited and vector layer.

CBERS-4A WPM Explorer

The CBERS Explorer is a specialized plugin developed to facilitate the search and retrieval of images from the China-Brazil Earth Resources Satellite (CBERS) program, specifically focusing on the CBERS-4A satellite with Wide Field Imager (WPM) data.

FPT Plot Alocation

Plot alocation for forest inventory.

QGISpell

Creates context menu spell checking for attribute data based on ENCHANT libraries.

ur-scape Data Importer

Import data to ur-scape.

MorphAL

MorphAL plugin for QGIS.

LER+

Nem adgang til LER2 forespørgsler.

Threshold to ROI

Create ROI (Region of Interest) with threshold values.

Spell Checker

Check the spelling of words in Print Layout elements.

Filter By Selection

Filter a given layer by the selected feature and attribute of another layer.

Natur i Norge kartlegging

Natur i Norge (NiN) mapping tool.

AIAMAS – AI-Assisted Map Styler

Symbolize your vector layers in seconds.

Sentinel 2 Image Downloader

This plugin allows users to download Sentinel-2 images.

MapSafe

Safeguard datasets using masking, encryption and notarisation.

GPX Maker for GARMIN® devices

This plugin exports GPX files for GARMIN® devices.

QGIS Sound Effects

Add sound effects to QGIS to make work less boring.

Mosaic Tool

A plugin to mosaic bands from selected raster layers.

Polaris

QGIS interface for Polaris through Polaris-Studio

ArcGeek Calculator

A comprehensive toolset for coordinate calculations, conversions, spatial operations, watershed analysis, land use analysis, and flood simulation in QGIS.

Auxiliary Labeldata Importer

Helps you to import Labeldata, stored in an auxiliary Layer from another Project.

Sections

Creates a section polygon layer from a point layer.

Slownik warstw

Tworzy s?ownik w formie pliku txt rozdzielanego tabulacjami dla wybranych warstw, program pozwala na eksport pe?nych nazw pól danej warstwy oraz wersje jako powstanie po zmienie z gpkg do shp.

11:00
Mappery: Asia?
sur Planet OSGeo

Matt Malone spotted this t-shirt in a local thrift shop. “Found a new shirt for my next #GIS conference”

I’ve got a feeling that will prompt quite a lot of conversation!
MapsintheWild Asia?
09 August 2024
18:43
Fernando Quadro: Curso de GeoNode: Inscrições abertas
sur Planet OSGeo

Aprenda a criar a sua própria Infraestrutura de Dados Espaciais com o GeoNode, uma plataforma para gestão e publicação de dados geoespaciais que reúne projetos open source maduros e estáveis sob uma interface consistente e fácil de usar, permitindo que os usuários, compartilhem seus dados de forma rápida e fácil.

Este curso visa capacitar os profissionais no uso eficiente da plataforma GeoNode, e tem como objetivos:

Familiarizar os participantes com os conceitos fundamentais do Geonode e suas capacidades.
Explorar o funcionamento de servidores de mapas e seus benefícios.
Apresenar como realizar a criação de usuários e grupos de acessos às suas informações.
Ensinar como realiza a criação de seus Mapas, Dashboards e GeoStories.
Realizar a integração do Geonode com o QGIS através de plugins.

Quer saber mais?

O Curso é oferecido na modalidade EAD Ao Vivo, com uma carga horária de 18 horas divididos em 6 encontros. Porém, essas aulas são gravadas e ficam disponíveis ao aluno por 12 meses em nosso portal do aluno.

Então, se por acaso você não puder comparecer em alguma das aulas ao vivo, não se preocupe, você poderá rever a aula gravada a qualquer momento.

Ficou interessado?

Acesse: [https:]]
WhatsApp: [https:]]
16:39
KAN T&IT Blog: Innovación y Colaboración en FOSS4G Europe 2024
sur Planet OSGeo

¿Te apasionan las tecnologías geoespaciales de código abierto? Si es así, FOSS4G Europe 2024 en Tartu, Estonia, fue el evento que no debiste perderte.

¿Alguna vez te has preguntado cómo el software de código abierto está revolucionando el mundo de los Sistemas de Información Geográfica (SIG)? FOSS4G Europe 2024 reunió a expertos y entusiastas de todo el mundo para explorar esta pregunta y mucho más.

Durante siete días, del 1 al 7 de julio, Tartu se convirtió en el epicentro de la innovación geoespacial. En esta ocasión, nuestro CEO, Ariel Anthieni y nuestro Sales Engineer, Adrián Yoris, tuvieron la oportunidad de participar de este evento.

La conferencia ofreció una serie de talleres interactivos, presentaciones de vanguardia y sesiones plenarias con ponentes de renombre. Uno de los momentos destacados fue la presentación sobre la implementación de SIG de código abierto en proyectos comunitarios, donde se discutió cómo estas herramientas están transformando la gestión de recursos naturales en regiones rurales.

Un ejemplo notable fue el estudio de caso de una comunidad en Estonia que utilizó software SIG de código abierto para mejorar la gestión de sus bosques, resultando en una optimización del 20% en la recolección de datos y una mejor conservación ambiental. Esta historia ejemplifica cómo la tecnología puede ser una fuerza para el bien común.

Además, Ariel fue invitado a participar en el panel “Changing the mindset of ‘Open Source is just for those who can’t afford to pay licenses’”, junto a otros expertos como Codrina Ilie de Terrasigna y Matthias Kuhn de OPENGIS.ch, para compartir su experiencia como CEO de Kan Territory & IT, y comentar sobre cómo las soluciones basadas en código abierto pueden transformar sectores públicos y privados, ofreciendo innovación personalizada e integración eficiente de tecnologías geoespaciales.

FOSS4G Europe 2024 no solo fue un evento educativo, sino también una celebración de la colaboración y la innovación en el ámbito de los SIG. Si te lo perdiste, no olvides seguir las actualizaciones y prepararte para la edición internacional que se realizará en Belém, Brasil. Comparte tus experiencias y pensamientos en los comentarios, y sigue explorando más sobre el fascinante mundo de las tecnologías geoespaciales de código abierto.

¡Nos vemos en Brasil en la FOSS4G Internacional!

Créditos de la Foto: Andres Tennus (fotógrafo de la FOSS4G Europe)
11:00
Mappery: Finger Lakes Wines
sur Planet OSGeo

Doug Greenfield shared this wine map “Finger Lakes Wine Center @ Sonnenberg Gardens.”
MapsintheWild Finger Lakes Wines
2:00
Ian Turton's Blog: How to reproject features in QGIS
sur Planet OSGeo

I came across a brilliant thread on Mastodon by Sarah Dal discussing how she worked out what the most remote post box in the UK was. But there was one remark that bothered me, she said that to convert her lat, lon points to OSGB (EPSG:4326 to EPSG:27700 for the nerds) she had to go to the Ordnance Survey site to find some software to do this. Since she already had the points in QGIS this seemed like an unnecessary side quest to me. When I commented that she could have done this in QGIS she said that she always seemed to get it wrong.

I’m confused by this (and by the many other people who ask questions on gis.stackexchange.com about the same thing) so I’ve put together this video showing how I would do this. Basically, you right click on the layer you want to reproject and select export->Save features as and then just change the drop down box to the projection you need. QGIS will then save the features and add that layer to your project. You shouldn’t see any difference other than the colour of the points will change (as QGIS assigns a new random colour to the new layer).

And yes, I really should have split the Northern Irish post boxes out into a separate file and projected them to the Irish grid but this is just a demo.
08 August 2024
11:00
Mappery: Afghani Bread Holder
sur Planet OSGeo

Garrett Speed shared this “This Afghani restaurant in ‘s-Hertogenbosch has a bread holder with a map of Afghanistan as the base”
MapsintheWild Afghani Bread Holder
07 August 2024
18:00
GeoSolutions: GeoSolutions Listed as Certified Cesium Developer
sur Planet OSGeo

You must be logged into the site to view this content.
11:00
Mappery: A Tactile Experience in Ilhabela
sur Planet OSGeo

Harry Wood wrote “We arrived at Ilhabela for some Brazil beach time. It’s an island off the Sao Paulo coast. Here’s the kids getting tactile with a relief map in the hotel.”

Looks like fun
MapsintheWild A Tactile Experience in Ilhabela
06 August 2024
11:00
Mappery: 30 Minute Walks in Central London
sur Planet OSGeo

Nick Duggan shared this neat map, not sure where he spotted it.
MapsintheWild 30 Minute Walks in Central London
05 August 2024
11:00
Mappery: Watersnood 4
sur Planet OSGeo

The last one from Reinder
MapsintheWild Watersnood 4
04 August 2024
11:00
Mappery: Watersnood 3
sur Planet OSGeo

Via Reinder “This fantastic piece of textile art by Miep van Riessen consists of embroidered names of victims, and is at the same time a quite adequate ‘geographical impression’ of the region where the disaster took place: the Dutch province of Zeeland. “

MapsintheWild Watersnood 3
03 August 2024
11:00
Mappery: Watersnood 2
sur Planet OSGeo

Via Reinder
MapsintheWild Watersnood 2
2:00
GeoServer Team: Using Binary Comparison Operators in GeoServer Filters
sur Planet OSGeo
GeoSpatial Techno is a startup focused on geospatial information that is providing e-learning courses to enhance the knowledge of geospatial information users, students, and other startups. The main approach of this startup is providing quality, valid specialized training in the field of geospatial information.

( YouTube | LinkedIn | Facebook | X )
Binary Comparison Operators in GeoServer Filters
In this session, we want to talk about the various types of filters, with a particular focus on “Binary comparison operators in GeoServer” comprehensively. If you want to access the complete tutorial, click on the link.

Introduction
Filtering allows the selection of features that satisfy a specific set of conditions. Filters can be used in several contexts in GeoServer:
- In WMS requests, select which features should be displayed on a map
- In WFS requests, specify the features to be returned
- In SLD documents, apply different symbolizations to features on a thematic map
Note. This video was recorded on GeoServer 2.22.4, which is not the most up-to-date version. Currently, versions 2.24.x and 2.25.x are supported. To ensure you have the latest release, please visit this link and avoid using older versions of GeoServer.
Supported filter languages
Data filtering in GeoServer follows the OGC Filter Encoding Specification, which provides a standard XML schema for encoding spatial, attribute, and temporal filters in GIS. This allows for customized queries to retrieve specific data from databases and web services while ensuring interoperability among GIS applications. GeoServer supports filters in both Filter Encoding Language and Common Query Language.
Filter Encoding Language
The Filter Encoding language, defined by OGC standards, utilizes an XML-based syntax to select specific features, similar to the “WHERE” clause in SQL. A filter consists of a condition formed by Predicate elements and Logical operators, employing comparison and spatial operators to evaluate relationships between feature properties. In this session, we will explore various types of binary comparison operators, while the next sessions will cover spatial operators.
Common Query Language
Common Query Language (CQL) is a Text-based language used in GeoServer for constructing filters and queries on geospatial data. It provides flexible and powerful options for filtering and retrieving specific subsets of data from GeoServer layers. In the upcoming sessions, we will dive into a detailed exploration of CQL/ECQL, covering its various operations and practical usage.
Comparison operators
These operators are part of Filter Encoding operators and are used in attribute-based queries to filter and retrieve specific features or data, based on their non-spatial attributes. The comparison operators include: binary comparison operators and value comparison operators.

The binary comparison operators are:
- PropertyIsEqualTo
- PropertyIsNotEqualTo
- PropertyIsLessThan
- PropertyIsLessThanOrEqualTo
- PropertyIsGreaterThan
- PropertyIsGreaterThanOrEqualTo
These operators contain two filter expressions to be compared. The first operand is often a <PropertyName>, but both operands may be any expression, function or literal value. Binary comparison operator elements may include an optional matchCase attribute, with the true or false value. The default value is true, but the comparisons do not check the case if the attribute has a false value.

Note. String comparison operators are case-sensitive.
PropertyIsEqualTo
PropertyIsNotEqualTo is a common type of filter used in GeoServer, which allows you to retrieve features from a data source based on the values of one or more properties. As an example of using this filter in WFS getFeature request:
- Navigate to the Demos page, then select Demo requests.
- From the Request section, select the WFS_getFeature1.0.xml request.
- The address will be filled in automatically, in the URL section.
Use the following block codes to replace line 26:
```
<PropertyIsEqualTo>
  <PropertyName>STATE_NAME</PropertyName>
  <Literal>Delaware</Literal>
</PropertyIsEqualTo>	
```
- Now, we will explain some elements:
  - The first fifteen lines include explanations in the form of comments.
  - Line 16 describes the XML version and the GetFeature operation of the WFS service being used.
  - Line 17 specifies the default output format for the WFS service as “gml2.” Additionally, GeoServer supports several other commonly used formats such as “gml3, shapefile, geojson, and csv.”
  - Lines 18 to 23 define the start of the XML request and declare the namespaces used in the request.
  - Line 24 specifies the type name of the feature to be queried. In this case, it requests features of the “topp:states”.
  - Lines 25 to 30 define the filter criteria for the query. On these lines, we use the PropertyIsEqualTo filter, to retrieve all features where the state name attribute is equal to Delaware.
- Press the Submit button to see the implemented changes.
- Note. For GeoServer 2.25.2 the Demo Request page has been improved to show response Headers, and provide the option to pretty print XML output.
PropertyIsNotEqualTo
PropertyIsNotEqualTo is another common type of filter used in GeoServer, which allows you to retrieve features from a data source based on properties that don’t match a specified value. As an example of using this filter in a WFS getFeature request, use the following block codes to replace lines 26 to 29:
```
<PropertyIsNotEqualTo matchCase="false">
  <PropertyName>STATE_NAME</PropertyName>
  <Literal>delAwarE</Literal>
</PropertyIsNotEqualTo>
```
Note. The matchCase attribute in WFS_getFeature 1.1 and 2.0 versions, can be set to “false” to specify a case-insensitive comparison.

Press the Submit button.

In this example, we used the <PropertyIsNotEqualTo> filter to retrieve all features where the STATE_NAME attribute, is not equal to Delaware.
PropertyIsLessThan
The PropertyIsLessThan filter is used to filter features, based on a comparison of a numeric property with a given value. It returns all features where the specified property is less than the specified value.

An example of using this filter in a WFS getFeature request is:
```
outputFormat="shape-zip"
<wfs:Query typeName="topp:states">
    <wfs:PropertyName>topp:STATE_NAME</wfs:PropertyName> 
    <wfs:PropertyName>topp:LAND_KM</wfs:PropertyName>
<ogc:Filter>
  <PropertyIsLessThan>
    <PropertyName>STATE_FIPS</PropertyName>
    <Literal>18</Literal>
  </PropertyIsLessThan>
</ogc:Filter>
```
Press the Submit button.

In this example, we used the <PropertyIsLessThan> filter to get all features in a shapefile format where the value of the STATE_FIPS attribute is less than 18. The query only retrieves the STATE_NAME and LAND_KM fields, instead of all the attributes.

In this session, we took a brief journey through the various types of filters, with a particular focus on “Binary comparison operators in GeoServer”. If you want to access the complete tutorial, simply click on the link.
0:04
From GIS to Remote Sensing: Semi-Automatic Classification Plugin major update: version 8.3.0
sur Planet OSGeo

The Semi-Automatic Classification Plugin (SCP) has been updated to version 8.3.0.This new version requires Remotior Sensus to be updated to at least version 0.4.0.

During the update process of SCP from version 7 to version 8, several tools were excluded in order to give priority to the main plugin functions.With this 8.3.0 update, several tools are reintroduced, such as Clustering tool for unsupervised classification (K-means method), the Spectral distance tool, the Edit raster tool, and the Raster zonal stats.Read more »
02 August 2024
12:15
WhereGroup: Kick-off für die Entwicklung eines bundesweiten Softwaretools für mehr Klimaschutz in der Baubranche
sur Planet OSGeo

Schon 2016 waren wir auf Landesebene im Bereich Ersatzbaustoffverordnung tätig und sind nun vom BMUV mit dem Umweltbundesamt mit der Erstellung eines bundesweiten Ersatzbaustoff-Katasters beauftragt.
11:42
GRASS GIS: Report from the GRASS Community Meeting 2024
sur Planet OSGeo

The annual GRASS GIS Community Meeting was held once again in the Czech Republic, this time at the NC State European Center in Prague from June 14 to 19. The meeting brought together users, supporters, contributors, power users and developers to collaborate and chart the future of the project. Thanks to the generous funding from the U.S. National Science Foundation (Award 2303651), the Open Source Geospatial Foundation (OSGeo), FOSSGIS e.V., and individual donors, we were able to welcome 16 in-person participants from 9 countries on 3 continents, plus 2 remote participants.
11:00
Mappery: Watersnood 1
sur Planet OSGeo

Reinder shared this “On the 1st of February 1953 a disastrous flood occurred in the southwest of The Netherlands. More than 1800 people lost their lives and an entire infrastructure was devastated. This is known as the Watersnood, and it is the topic of the Watersnoodmuseum in Ouwerkerk in the province of Zeeland.”
MapsintheWild Watersnood 1
01 August 2024
11:00
Mappery: Custom underwear
sur Planet OSGeo

And a new share from LeCatopgrahe with these custom underwear coming from Hop & Down.
MapsintheWild Custom underwear
2:00
GeoServer Team: GeoServer User Forum replaces mailing list
sur Planet OSGeo
GeoServer is updating our communication channels!

We know people do not like signing up for mailing lists, Twitter has been Xed out, and it is time to move on.
GeoServer User Forum
Welcome to the GeoServer User forum:
- This forum is open to the public, we are pleased to meet you and hope you enjoy using GeoServer.
- Hosted by Open Source Geospatial Foundation
- All project communication including this forum are subject to our code of conduct
- This is one of many options for community support and communication.
Sign in
Taking part is easy (sign-in with credentials you already have):
1. Login to discourse.osgeo.org:
  - Login “with LDAP” to use your OSGeo UserID (also used for other osgeo services).
    
    The button appears greyed out, but this is only poor styling choice. The button is enabled and works.
  - Use “Log in with GitHub” to use GitHub credentials.
  - More options are added over time.
2. You may also use “Sign Up” if you want to create an account just for use with the Forum.
3. Unsubscribe from geoserver-users email list.
  
  We will continue to operate the geoserver-user list for the month of August, and then do a final synchronization of any outstanding email messages to complete the migration.
4. Navigate to the category GeoSever / User to enjoy the forum.
5. Use New Topic to start a new conversation.
  
  Only the GeoServer / user subcategory allows new topics. If the New Topic button is disabled you may be looking at the GeoServer top-level category.
6. To test please send introduce yourself we are looking forward to meeting you.
Use as a mailing list replacement
If you enjoy the out-of-band timezone friendly mailing list experience - Discourse allows you to subscribe to notifications, and use email to post and reply to topics.
1. Sign-in to Discourse as above.
2. From your profile preferences, use the email tab to adjust email settings.
  
  IMPORTANT: Email is only sent when you are not logged in to the discourse website!
3. Navigate to GeoSever User category, and use the bell to change notifications to Watching.
4. If you wish to update any email rules the new mailing is user.geoserver.discourse.osgeo.org
5. You can send email to geoserver-user@discourse.osgeo.org to start a new topic.
  
  To test please send an email to introduce yourself (rather than a test message).
Mastadon and other socials
GeoServer is occasionally active on social media:
- Mastadon: @geoserver@fosstodon.org
- LinkedIn Group
- Twitter/X: @GeoServerO - only used for emergencies.
If you enjoy social media we would love some assistance reposting and highlighting our community activity. Contact us on your preferred social media platform to help out.
31 July 2024
11:00
Mappery: World T-Shirt
sur Planet OSGeo

How a mechanical issue leads to a new map in the wild. Back home, I had a problem with a lawn mower. I called a friend for help, who finally came with this fabulous T-shirt!
MapsintheWild World T-Shirt
30 July 2024
18:19
GeoSolutions: GeoSolutions Announces Membership in World Geospatial Industry Council
sur Planet OSGeo

You must be logged into the site to view this content.
11:00
Mappery: Cup Cakes from Mont-Ral
sur Planet OSGeo

Raf shared this “Tasty cupcakes from Forn de Mont-ral, Prades, Catalunya”
MapsintheWild Cup Cakes from Mont-Ral
29 July 2024
11:01
Markus Neteler: Happy 41st birthday, GRASS GIS!
sur Planet OSGeo

Today, we celebrate a true geospatial legend: GRASS GIS!

The post Happy 41st birthday, GRASS GIS! appeared first on Markus Neteler Consulting.

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