Spatial Global Autocorrelation

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Related lectures (32)

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Spatial Autocorrelation: An Introduction to GIS

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

Spatial Autocorrelation: Moran's I

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

Discrete variables: Geometric properties

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

Spatial Dependence: Autocorrelation and Analysis

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

Spatial Discrete Variables, Spatial Arrangement and Neighborhood

Covers spatial arrangement, neighborhood, and statistical measures for analyzing spatial patterns in geographic information systems.

Vector-Vector Data Layer Interactions

Covers interactions between vector layers in GIS, including geometric properties, spatial arrangement, autocorrelation, altitude models, and SQL equivalents.

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.

Land modeling: Numeric representation of the land

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

Spatial Arrangement and Neighborhood of Discrete Variables

Covers spatial arrangement, object description, statistical dispersion, and proximity relationships in geographic information systems.

Discrete Variables, Geometric Properties

Covers discrete variables in geographic information systems and their geometric properties, including spatial arrangement and autocorrelation.