Perform various floating catchment area methods to calculate a spatial accessibility index (SPAI) for demand point data. The distance matrix used for weighting is normalized in a preprocessing step using common functions (gaussian, gravity, exponential or logistic).
| Version: | 0.1.0 |
| Suggests: | covr,knitr,rmarkdown,testthat |
| Published: | 2021-12-06 |
| DOI: | 10.32614/CRAN.package.fca |
| Author: | Etienne Grueebler [aut, cre], Merlin Unterfinger |
| Maintainer: | Etienne Grueebler <package at etienne.app> |
| BugReports: | https://github.com/egrueebler/fca/issues/ |
| License: | GPL (≥ 3) |
| URL: | https://egrueebler.github.io/fca/,https://github.com/egrueebler/fca/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | fca results |
| Reference manual: | fca.html ,fca.pdf |
| Vignettes: | getting-started (source,R code) |
| Package source: | fca_0.1.0.tar.gz |
| Windows binaries: | r-devel:fca_0.1.0.zip, r-release:fca_0.1.0.zip, r-oldrel:fca_0.1.0.zip |
| macOS binaries: | r-release (arm64):fca_0.1.0.tgz, r-oldrel (arm64):fca_0.1.0.tgz, r-release (x86_64):fca_0.1.0.tgz, r-oldrel (x86_64):fca_0.1.0.tgz |
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