Map Processing: Automatic Analysis of Maps

Related lectures (31)

Page 2 of 4

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

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

Covers the basics of SQL, including components of the language and syntax of SELECT clause.

Introduces Google Earth Engine, focusing on its capabilities for geospatial analysis and environmental monitoring.

Covers the role of GIS in managing wildfires in the Sahel region.

Covers thematic cartography, visual variables, map production, and interactive mapping.

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

Covers observation units in GIS, focusing on vector and image modes.

Covers the basics of QGIS, including project management, data manipulation, and map production.

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