Finding and selecting data

• Climate data sets, which one to select? Considerations when selecting global climate data sets for use in eastern Africa.
• Select the variables using the VIF stepwise variable selection method.

Data import

• Import bioclimatic data layers into the GRASS GIS database with the North Carolina (NC) sample data set.
• Import species data from the GBIF data catalog using the rgbif package in R.
• Importing GLCF MODIS woody plant cover.
• Use r.in.gdal to import MODIS data, using as example the import of MODIS fire frequency data.

Working with vector data

• Cut vector layer by region extent.

Working with raster data

• Compute the area of raster cells of an unprojected raster layer (latlon).
• Using GRASS GIS categorical raster layers in QGIS. Instruction for the r.category.trim addon.
• Recode your raster file in GRASS GIS using a csv file.
• Rescale your raster layer in GRASS GIS, QGIS, SAGA GIS or GDAL
• Creating cross products of multiple raster map layers

• Creating a Tanaka-style contour map using GRASS GIS and QGIS.
• Climate data sets, which one to select? Using scatter- and profile plots to compare data layers.
• Plotting GRASS data using Pandas plot(). Some examples how to plot vector attribute data and raster data.
• Plot of temporal data sets in GRASS GIS.
• A map with the number of mammal species based on IUCN redlist range maps.
• Examples of creating plots of GRASS raster data using different Python plotting libraries.

• Plot of temporal data sets in GRASS GIS.

Mapping & modeling species and land cover distributions

• Select variables using the VIF stepwise variable selection method.
• A map with the number of mammal species based on IUCN redlist range maps.
• Using k-fold cross-validation in GRASS GIS.
• Modeling potential species distributions using machine learning.

Terrain analysis

• Terrain attribute tools in GRASS - a list of GRASS GIS functions to compute terrain attributes based on DEM (digitial elevation model) data.

GRASS GIS / Python

• GRASS and Pandas - from attribute table to pandas dataframe. Some examples how to import vector attribute data in Python as a Pandas dataframe.
• Plotting GRASS data using Pandas plot(). Some examples how to plot vector attribute data and raster data.
• PyGRASS equivalent of piping results from one function to another.

GRASS GIS / R

• Get GRASS function output in R.
• Importing GLCF MODIS woody plant cover in a GRASS GIS database using R code.
• Import species data from the GBIF data catalog using the rgbif package in R.
• Plotting GRASS data using R's ggplot2 functions

• Counting number of layers returned by g.list in GRASS GIS.
• The r.series function applied to a range of values.
• A note on exporting plots to svg in Matplotlib
• Tabulate - print Panda dataframe in pretty format
• Getting parameter estimates from v.surf.bspline.

• Rescale your raster layer in GRASS GIS, QGIS, SAGA GIS or GDAL
• Sample raster values at point location in QGIS. A quick overview of three tools in QGIS you can use to sample raster values at point locations of a vector point layer.
• Using GRASS GIS categorical raster layers in QGIS. Instrucing the r.category.trim addon.

• Get GRASS function output in R.
• Importing GLCF MODIS woody plant cover in a GRASS GIS database using R code.
• Import species data from the GBIF data catalog using the rgbif package in R.