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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