https://geodacenter.github.io/
Multi Layer Support
connect to carto
explore statistical results through linked maps and charts (multiple graphics depicting same thing)
analyzing spatial and temporal patterns accross linked views (group variables together vs ungrouped variables)
compare avg across space an d time
group obs mean sd
detect relationships in multivariate space (scatterplot matrix with bar charts running down middle)
statistically ignificant spatial clusters ( spatial autocorrelation, local moran cluster map, local G/G*, local join count statistics for categorical data.
spatial clustering - skater, redcap, maxp k means kmedians kmedioids, spectral clustering
detect if changes over time are spatially clustered
global/local differential morans I test to find out if a variables change over time in a given location is statistically related to that of its neighbors. (lisa cluster map)
test if multiple variables are clustered in space (moral correlation)
map patterns of non spatial cluster stats (pca, kmeans, hierarchical clustering, multi dimensional scaling))
(spatial corerelation threshold) correlogram determin distance thresholds when the values of neighboring pairs are no longer correlated
breakpoint edit/customization