Lectures related to Spatial Autocorrelation: Spatial Weighting

Spatial Autocorrelation: An Introduction to GIS

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

Discrete variables: Geometric properties

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

Vector-Vector Integration: Methods and Tools

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

Discrete Variables, Geometric Properties

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

Introduction to spatial autocorrelation

Introduces spatial autocorrelation, focusing on measuring spatial relationships in a neighborhood and using Moran's I as a regression coefficient.

Spatial Autocorrelation: Moran's I

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

Spatial Phenomena: Interpolation 2

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

Vector mode and image mode

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

Spatial Discrete Variables, Spatial Arrangement and Neighborhood

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

Spatial Autocorrelation and Dependence

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

Land modeling: Numeric representation of the land

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

Spatial Phenomena: Isovalues

Covers isovalue curves in geographic information systems and their creation using QGIS.

Vector-Vector Interactions

Covers interactions between vector layers in GIS using QGIS tools.

Bush fires in the Sahelian area

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

Thematic attributes and classification

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

Spatial Dependence: Autocorrelation and Analysis

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

Spatial Arrangement and Neighborhood of Discrete Variables

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

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.

Digitization of Vector Objects

Covers the digitization of vector objects in GIS, including creation, editing, and topology management.

Vector-Vector Data Layer Interactions

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