Lectures related to Discrete Variables: Spatial Arrangement and Neighbourhood

Discrete variables: Geometric properties

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

Discrete Variables, Geometric Properties

Covers discrete variables in geographic information systems and their geometric properties, including spatial arrangement and autocorrelation.

Spatial Autocorrelation and Dependence

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

Geographic Information Systems: Data Acquisition and Representation

Explores Geographic Information Systems, covering data acquisition, representation, and visualization of geodata.

Derived Variables 2: Applications and Analysis

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

Spatial Dependence: Autocorrelation and Analysis

Introduces spatial dependence, the paradox of classical statistics, and the bias in linear regression.

Thematic attributes and classification

Covers statistical thematic mapping, types of thematic maps, and discretization methods for representing and classifying dataset characteristics.

Altitude Models and Derivative Variables

Covers geographic information systems, relief indicators, and digital elevation models.

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.

Discrete Variables: Geometric Properties

Covers the geometric properties of discrete variables in geographic information systems, focusing on shape, location, and size indices.

Digital Elevation Models: Basic Elements

Covers digital elevation models, altitude acquisition methods, representation techniques, and relief visualization using shading and contour lines.

Digital Elevation Models: Basic Concepts

Covers methods for sampling elevation and measuring elevation using leveling, photogrammetry, and LiDAR in Geographic Information Systems.

Spatial Phenomena: Isovalues

Covers isovalue curves in geographic information systems and their creation using QGIS.

The third dimension: Representing Relief

Explores representing relief in GIS through 3D models and the Qgis2threejs plugin.

Thematic Attributes and Classification

Covers thematic attributes, classification, data representation, and discretization methods in geographic information systems.

Derived Variables: Digital Elevation Models

Covers the calculation of slope, aspect, and curvature from elevation models.

Spatial Autocorrelation: An Introduction to GIS

Covers spatial autocorrelation in GIS, including global autocorrelation, weighting schemes, Moran's I, and contiguity ratio.

Bush fires in the Sahelian area

Explores the causes and consequences of bush fires in the Sahelian area, emphasizing the role of Geographic Information Systems.

Vector-Vector Interactions

Covers interactions between vector layers in GIS using QGIS tools.

Spatial Autocorrelation and Dependence

Covers spatial autocorrelation, spatial dependence, biases in classical statistics, and limitations of statistical tools in geography.