fca: Floating Catchment Area (FCA) Methods to Calculate Spatial Accessibility
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 |
| Author: | Etienne Grueebler [aut, cre],
Merlin Unterfinger
 [aut],
Reto Joerg [ctb] |
| 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 |
Documentation:
| Reference manual: | fca.pdf |
| Vignettes: |
getting-started |
Downloads:
| 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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