Spatial Autocorrelation and Dependence

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

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

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

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

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

Covers interactions between vector layers in GIS using QGIS tools.

Covers geometric properties, spatial arrangement, autocorrelation, and neighbourhood analysis in geographic information systems.

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

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

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