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Lecture
Geospatial Analysis: Derived Variables
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Related lectures (32)
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Spatial Autocorrelation and Dependence
Covers spatial autocorrelation, dependence in GIS, and biases in classical statistics.
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.
Interactions between Data Layers: Raster-Vecteur
Covers interactions between raster and vector data layers in GIS using QGIS tools.
Derived Variables: Digital Elevation Models
Covers the calculation of slope, aspect, and curvature from elevation models.
The third dimension: Representing Relief
Explores representing relief in GIS through 3D models and the Qgis2threejs plugin.
Raster-Raster Interactions
Explores algebraic operations and NDVI calculation in raster data analysis using QGIS tools.
Vector mode and image mode
Covers observation units in GIS, focusing on vector and image modes.
Discrete Variables: Spatial Arrangement and Neighbourhood
Covers geometric properties, spatial arrangement, autocorrelation, and neighbourhood analysis in geographic information systems.
Raster - Raster
Covers raster-raster integration, map algebra, NDVI calculation, and terrain analysis using relational and logical operators.
