GD

Geographical detectors for measuring spatial stratified heterogeneity, as described in Jinfeng Wang (2010) doi:10.1080/13658810802443457 and Jinfeng Wang (2016) doi:10.1016/j.ecolind.2016.02.052. Includes the optimal discretization of continuous data, four primary functions of geographical detectors, comparison of size effects of spatial unit and the visualizations of results. To use the package and to refer the descriptions of the package, methods and case datasets, please cite Yongze Song (2020) doi:10.1080/15481603.2020.1760434. The model has been applied in factor exploration of road performance and multi-scale spatial segmentation for network data, as described in Yongze Song (2018) doi:10.3390/rs10111696 and Yongze Song (2020) doi:10.1109/TITS.2020.3001193, respectively.

Last 30 days

This package has been downloaded 3,996 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 57 times.

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Last 365 days

This package has been downloaded 29,709 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Mar 13, 2025 with 235 downloads.

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