Geoda Software: Geospatial Data Analysis

Related lectures (32)

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Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.

Introduces online cartography and geomatics elements for creating thematic maps and spatial analysis.

Covers the practical aspects of creating statistical thematic maps and the necessary concepts for effective data representation.

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

Analyzes the spatial and temporal patterns of COVID-19 cases in Geneva, detecting significant clusters and discussing prevention measures.

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

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

Covers the components and functions of thematic mapping, including visual variables, map production, and interactive mapping.

Covers spatial statistics, spatial variability, interpolation, uncertainty assessment, and hands-on exercises in spatial analysis and statistics.

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