1 Introduction

In this tutorial, we create a density distribution map for the white-tailed deer (Odocoileus virginianus) in Minnesota, USA. To accomplish this, we’ll first develop a habitat suitability map. Next, we’ll use the habitat suitability map to spatially disaggregate an existing coarse scale map of deer densities.

Overview of the analytical steps explained in this tutorial. The mwa stands for moving window averaging. The spat.dissagr. for spatial disaggregation.

Figure 1.1: Overview of the analytical steps explained in this tutorial. The mwa stands for moving window averaging. The spat.dissagr. for spatial disaggregation.

The tutorial provides a step-by-step explanation of the analysis, using the library to run the different GRASS GIS functions. I will not explain each function and its parameter settings. Instead, every time a function is used, a link to the corresponding help page is provided. These help pages are pretty good, and you are encouraged to read them.

You’ll need some background in Python to follow all example code. However, all steps can be done using the command line or the menu’s, with some small adjustments here and there. For QGIS users, note that most grass functions used in this tutorial are also available in QGIS. For an overview of all functions used in this tutorial, see section 7.1.