# Tutorials & user notes

I have been writing various tutorials and user notes over the years. Some were published as blog posts, others as online tutorials. To make it easier to find them, this page provides links to these posts and tutorials. Most are 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, Python and SQLite. You can filter the tutorials by subject in the blue bar, or you can use the search function (in the top menu bar). I hope these are of use to you.

#### MODIS fire data in GRASS GIS

Small walk-true of how to import 8-day MODIS satellite images from 2002-2021 in a GRASS GIS temporal database, and how to compute some summary statistics based on these data layers.

#### Playing with animal tracking data in QGIS

Using the Temporal Controller in QGIS to visualize the movements of cattle in the Logone Floodplain in Cameroon. Based on data from the Movebank, a free, online database of animal tracking data.

#### Creating a density distribution map of white-tailed deer using GRASS GIS

In this GRASS GIS tutorial we create a habitat suitability map for the white-tailed deer (Odocoileus virginianus). We combine this with deer densities numbers per deer management unit to create a fine-scale deer density distribution map.

#### Compute the area per category with GRASS GIS

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.

#### From suitability to suitable regions

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.

#### Distance between features

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.

#### Legacy GIS tutorials and notes

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

#### Import and map GBIF data in R

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.

#### Import GBIF data in QGIS

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.

#### Access soilgrid data using the WCS protocol

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.

#### Tree species diversity distribution

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

#### Adding functions to the QGIS toolbox

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.

#### Import NASA DEM in GRASS GIS

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.

#### Access soilgrid data using the WCS protocol

With the tmap package you can map good looking maps in R. One of the elements you may want to include in a map is an inset map, which shows for example the location of your main map within a larger region (country for example). The tricky part of doing this with tmap is to properly align the legend and the inset map. This short tutorial shows you how to do this.

#### Import and explore reconstructed MODIS LST data

In this tutorial we will look at processing of temporal data, using the aggregated monthly MODIS LST data layers by Metz et al. (2017) as input. We will import the layers in a GRASS GIS database, create a temporal database, and then check out a few options available in GRASS GIS to explore the data.

#### Mapping the number of mammal species based on IUCN redlist range maps

Creating a map in GRASS GIS with the number of mammal species based on the IUCN redlist range maps.

#### Spatial interpolation in GRASS GIS

This tutorial was developed as part of the course Hands-on to GIS and Remote Sensing with GRASS GIS at ITC - University of Twente on November 3rd, 2017. The tutorial provides an introduction on how to do spatial interpolation in GRASS GIS.