Le portail francophone de la géomatique

Discover how the R programming language can transform your GIS journey, empowering you to create stunning maps, analyze spatial data, and unlock advanced geospatial insights–no prior experience needed!

This book is all about the scripting language R, and how you can use it as a GIS to manage, display, symbolise, and analyse spatial data. While initially starting out as a statistics package, now R can also create maps and perform spatial analysis - much like the tools you would find in QGIS or ArcGIS Pro.

In this book, we will cover the basics of GIS and R, as well as some more advanced visualisation and analysis techniques. We assume no prior knowledge of GIS or scripting. This book is also suitable if you have previously used a graphical desktop GIS, but want to move to a script-based GIS. Two of the key benefits for adopting a script-based approach are: code reusability, and sharing of knowledge with others, e.g. sharing code from a research project.

Remotely sensed data, in the form of digital images captured from spaceborne and airborne platforms, provide a rich analytical and observational source of information about the current status, as well as changes occurring in, on, and around the Earth’s surface. The data products, or simply images processed from these platforms, provide an additional advantage in that geographic areas or regions of interest can be revisited on a regular cycle. This revisit cycle allows geospatial analysts and natural resource managers to explore changing conditions over time.

Image Processing and Data Analysis with ERDAS IMAGINE® explains the principles behind the processing of remotely sensed data in a simple, easy to understand, and "how-to" format. Organized as a step-by-step guide with exercises adapted from original research and using publicly available imagery, such as NASA Landsat, ESA Sentinel-2, Orthophotos, and others, this book gives readers the ability to quickly gain the ... Lire la suite