Geospatial Analysis: Derived Variables

Related lectures (32)

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

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

Explores methods and tools for integrating vector layers in QGIS, including SQL queries and boolean operators.

Explores geostatistics, variograms, kriging, and spatial interpolation techniques in geographical information analysis.

By Prof. François Golay explores GIS, urban morphology, challenges of Digital Twins, data-driven analytics, and LASIG's contributions.

Covers geospatial data sources, including geoservers, satellite imagery, and virtual globes.

Explores practical examples related to geomatics elements and differences in elevation.

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

Covers global spatial autocorrelation and Moran's I interpretation through regression coefficients and spatial weighting schemes.

Delves into the spatial evaluation of flood risk in Niamey, covering challenges, impacts, and risk management measures.