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GD: Geographical Detectors for Assessing Spatial Factors
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.
| Version: |
10.3 |
| Depends: |
R (≥ 4.3) |
| Imports: |
stats, utils, graphics, BAMMtools |
| Suggests: |
knitr, rmarkdown |
| Published: |
2023-09-18 |
| Author: |
Yongze Song  [aut,
cre] |
| Maintainer: |
Yongze Song <yongze.song at outlook.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Citation: |
GD citation info |
| CRAN checks: |
GD results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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