A short note about different methods you can use in GRASS GIS to create a raster layer with as values the area of the categories these cells belong to according to another categorical raster layer.
An explanation how you can use the r.suitability.regions add-on to delineate regions with a minimum area size that consist of contiguous raster cells with a suitability score above a certain user-defined threshold.
Calculating the distance between features (points, polygons, lines) is a common GIS task. Here I will use GRASS GIS to calculate the nearest sighting of mountain lions to Minnesota according to the Global Biodiversity Information Facility (GBIF) database.
Tutorials and user notes on the use of open source tools on the old ecodiv site. The objective is to provide some practical / hands-on examples of (spatial) data handling and analysis that can be done in GRASS GIS and related software tools such as R, QGIS and SQLite
The Global Biodiversity Information Facility ( GBIF) is an international open data infrastructure that allows anyone, anywhere to access data about all types of life on Earth. This tutorial shows how to download, import and visualize GBIF occurrence data in QGIS and (optionally) GRASS GIS.
The Global Biodiversity Information Facility ( GBIF) is an international open data infrastructure that allows anyone, anywhere to access data about all types of life on Earth. This tutorial shows how to download GBIF occurrence data of Ambrosia psilostachya in QGIS and the GBIF Occurrences plugin.
The soil data layers from soilgrid.org provides access to grid layers representing the spatial distribution of soil properties across the globe. This tutorial shows how to use the Python OWSLib package to access the data via the Web Coverage Service (WCS) protocol, the Python rasterio package to inspect and print the data, and GRASS GIS to store the data.
A short description how to use the r.series.diversity addon for GRASS GIS to generate maps of the tree species diversity across the contiguous USA, based on tree species distribution data by Wilson et al. 2013
The graphical modeler is a great way to automate tasks, using the routines in the QGIS toolbox. However, what to do if you need a function not available in the toolbox? In that case you may want to look into writing your own script.
The NASADEM_HGT dataset is a 1 arcsecond void-filled dataset which combines data from the SRTM and ASTER GDEM data. It can be downloaded from EarthData in 1° by 1° tiles. But if you are using GRASS GIS, downloading is greatly fascilitated using the r.in.nasadem addon. The addon imports all NASADEM tiles covering the current region or region extents given with the region option into GRASS and patches the tiles together.