Lecture

Altitude Digital Models: Derivative Variables

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Description

This lecture covers the characterization of relief in entire regions through descriptive statistics and specific tools like the hypsometric curve and roughness indicators. It also explores the technique of moving windows to determine local relief indicators such as slope, orientation, and curvature, highlighting the benefits of varying window size for relief mapping. These tools for generalizing altitude digital models are particularly valuable in the context of increasingly fine resolution models offered by recent acquisition technologies.

In MOOC

Geographical Information Systems 2

The second part of the course deals with spatial analysis methods and georeferenced information representation techniques. In particular, you will learn how to:

Analyze the spatial properties of discrete variables, for example by quantifying spatial autocorrelation;
Work with continuous variables (sampling, interpolation and construction of isolines)
Use digital elevation models (DEMs) and their derivatives (slope, orientation, etc.);
Use geodata superposition techniques;
Produce cartographic docu

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