Geographic Information Systems: Urban Morphology and Modeling

Related lectures (32)

Page 2 of 4

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

Covers the integration of raster and vector data in GIS using QGIS.

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

Covers numeric representation techniques, data acquisition, geographic space, discrete and continuous phenomena in land modeling.

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

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

Showcases the use of drones to monitor black rhinoceros populations in Africa.

Covers the basics of geographic information systems and the use of drones for wildlife monitoring.

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

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