Oslandia: (Fr) [Story] Oslandia x QWC : Ă©pisode 6 / 8
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Oslandia: (Fr) [Story] Oslandia x QWC : Ă©pisode 1 / 8
Sorry, this entry is only available in French.
Oslandia: (Fr) [En image] Giros 360 : un jumeau numérique pour la Garonne
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Oslandia: How Oslandia invests in OpenSource
You may be wondering where Oslandiaâs name is coming from ? Or maybe you already know ? In this article we focus on the âOSâ part of Oslandia : OpenSource !
Oslandia positions itself as IT expert in the field of OpenSource geographical information systems. QGIS is namely one of the proheminent opensource softwares for the geospatial industry. This position is a key element of our business model.
But do you know how we work behind the scene ? This article will give you an opportunity to discover some of our contributions to the OpenSource ecosystem.
PrinciplesOur general business model is based on projects we carry out for our clients. They fund us to design and implement solutions adapted to their needs and requirements. Part of these developments consist in core development of Opensource software. This allows us to contribute actively to FOSS4G components.
...Fernando Quadro: PostGIS + IA: Automatizando anĂĄlises espaciais
O PostGIS Ă©, sem dĂșvida, o coração de qualquer infraestrutura WebGIS moderna.
Ele transforma o PostgreSQL em um verdadeiro motor de anålise espacial, capaz de executar desde consultas simples até operaçÔes complexas de geoprocessamento.
Mas o que acontece quando combinamos o poder do PostGIS com a InteligĂȘncia Artificial (IA)? A resposta Ă© simples e poderosa: anĂĄlises espaciais automatizadas, executadas a partir de comandos em linguagem natural â sem precisar escrever SQL manualmente para cada consulta.
Imagine perguntar: âQuais bairros estĂŁo a menos de 500 metros dos rios?â ou âQuantos pontos de coleta existem por zona de drenagem?â
E o sistema traduzir isso automaticamente em SQL espacial, executar no PostGIS e retornar o resultado.
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Mappery: Master Plans of Shanghai
Kenneth Wong shared these pics of 6 master plans of Shanghai, from 1930 to 2017, in the Shanghai Urban Planning Exhibition Center.
gvSIG Team: ÂżCĂłmo construir una IA que realmente entienda?
Hola a todos.
En los Ășltimos años, hemos asistido a un avance espectacular en el campo de la Inteligencia Artificial, impulsado principalmente por los Modelos de Lenguaje Grandes (LLMs). Su capacidad para generar texto coherente, traducir idiomas y mantener conversaciones fluidas es, sin duda, impresionante. Es una proeza de la ingenierĂa y la estadĂstica a gran escala.
Sin embargo, esta misma fluidez nos coloca en una encrucijada fundamental. Nos obliga a hacernos una pregunta que va mĂĄs allĂĄ de la implementaciĂłn: Âżestamos realmente creando mĂĄquinas que entienden, o hemos perfeccionado el arte de la imitaciĂłn estadĂstica? La respuesta, creo, se encuentra al analizar las dos filosofĂas fundamentales que hoy compiten, a menudo sin saberlo, en el diseño de la IA.
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Free and Open Source GIS Ramblings: Wrangling hundreds of GPS files with DuckDB, QGIS & Trajectools
The last time I preprocessed the whole GeoLife dataset, I loaded it into PostGIS. Today, I want to share a new workflow that creates a (Geo)Parquet file and that is much faster.
The dataset (GeoLife)âThis GPS trajectory dataset was collected in (Microsoft Research Asia) Geolife project by 182 users in a period of over three years (from April 2007 to August 2012). A GPS trajectory of this dataset is represented by a sequence of time-stamped points, each of which contains the information of latitude, longitude and altitude. This dataset contains 17,621 trajectories with a total distance of about 1.2 million kilometers and a total duration of 48,000+ hours. These trajectories were recorded by different GPS loggers and GPS-phones, and have a variety of sampling rates. 91 percent of the trajectories are logged in a dense representation, e.g. every 1~5 seconds or every 5~10 meters per point.â
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