Lectures related to Spatial statistics

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

Introduces Geographically Weighted Regression (GWR) for exploring spatial non-stationarity in variable relationships.

Explores spatial statistics, digital elevation models, land cover analysis, and geographically weighted regression in spatial analysis.

Covers the GeoDa software for geospatial data analysis and thematic mapping.

Covers course organization, spatial statistics, epidemiological data analysis, and group project work.

Covers the GeoDa software for creating maps and analyzing spatial data, including statistical graphs and spatial statistics.

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

Explains the calculation of statistical significance in spatial statistics using permutation and randomization methods.

Explores Moran's I, a measure of spatial autocorrelation used in spatial analysis and statistics.

Explores local spatial autocorrelation, Moran's I calculation, and spatial pattern significance in real-world data.

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

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

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

Introduces geostatistics, variograms, and kriging for spatial interpolation in regionalized variables.

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

Introduces the geostatistical concept of regionalized variables and the kriging procedure for spatial interpolation.

Explores methods for computing areal average rainfall and spatial interpolation techniques in hydrology.

Discusses modeling hydrological systems, focusing on routing and flood retention using a new database.