Geospatial Analysis: Derived Variables

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

Vector-Vector Integration: Methods and Tools

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Spatial Phenomena: Interpolation 2

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

Geographic Information Systems: Urban Morphology and Modeling

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

Geospatial Data Sources

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

Geomatics Elements: Practical Examples

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

Thematic attributes and classification

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

Spatial Autocorrelation: Moran's I

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

Case Study: Flood Risk in Niamey

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

Geodata sources: An Introduction

Introduces geodata sources available on the internet, covering geoservers, digital elevation models, satellite imagery, and physical and human geography data.

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

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