Digital Elevation Models: Basic Concepts

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Discrete variables: Geometric properties

Covers geometric properties of discrete variables in GIS, including location, size, and shape.

Basic Elements of Altitude Models

Covers methods for acquiring and representing altitude data, emphasizing the historical and analytical importance of relief.

Altitude Models and Derived Variables

Covers geographic information systems, digital elevation models, derived variables, visibility analysis, shadow casting, solar radiation, drainage lines, and flood zones.

Geographic Information Systems: Urban Morphology and Modeling

By Prof. François Golay explores GIS, urban morphology, challenges of Digital Twins, data-driven analytics, and LASIG's contributions.

Spatial Autocorrelation and Dependence

Covers spatial autocorrelation, dependence in GIS, and biases in classical statistics.

Derived Variables 2: Applications and Analysis

Covers thematic variables derived from DEMs and their applications in GIS.

Basic concepts: digital elevation model

Discusses the important role of relief in spatial analysis.

Vector-Vector Integration: Methods and Tools

Explores methods and tools for integrating vector layers in QGIS, including SQL queries and boolean operators.

Raster-Raster Interactions

Explores algebraic operations and NDVI calculation in raster data analysis using QGIS tools.

Spatial Continuous Phenomena, Sampling

Explains continuous spatial phenomena and sampling in geographic information systems, covering properties of continuous variables and different sampling procedures.