Digital elevation model

Related lectures (31)

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

Focuses on practical mapping exercises, geodesy, and GPS calculations.

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

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

Explores indices for describing geographical arrangement and quantifying diversity in landscape phenomena.

Explores spatial statistics, digital elevation models, land cover analysis, and geographically weighted regression in spatial analysis.

Covers interactions between raster and vector data layers in GIS using QGIS tools.

Explores the role of relief in modeling Earth's surface phenomena and the advancements in technology for producing precise digital elevation models.

Covers interactions between vector layers in GIS using QGIS tools.

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