Discrete Variables: Spatial Arrangement and Neighbourhood

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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.