Package: fca 0.1.0

Etienne Grueebler

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).

Authors:Etienne Grueebler [aut, cre], Merlin Unterfinger [aut], Reto Joerg [ctb]

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fca.pdf |fca.html✨
fca/json (API)
NEWS

# Install 'fca' in R:
install.packages('fca', repos = c('https://egrueebler.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/egrueebler/fca/issues

Pkgdown site:https://egrueebler.github.io

On CRAN:

4.60 score 8 stars 7 scripts 195 downloads 4 exports 0 dependencies

Last updated 3 years agofrom:f813216e2c. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 13 2025
R-4.5-winOKFeb 13 2025
R-4.5-macOKFeb 13 2025
R-4.5-linuxOKFeb 13 2025
R-4.4-winOKFeb 13 2025
R-4.4-macOKFeb 13 2025
R-4.3-winOKFeb 13 2025
R-4.3-macOKFeb 13 2025

Exports:dist_normalizespai_2sfcaspai_3sfcaspai_mh3sfca

Dependencies:

Getting started

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Feb 13 2025.

Last update: 2021-11-29
Started: 2021-09-13