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).


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Reference manual

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install.packages("fca")

0.1.0 by Etienne Grueebler, 2 months ago


https://egrueebler.github.io/fca/, https://github.com/egrueebler/fca/


Report a bug at https://github.com/egrueebler/fca/issues/


Browse source code at https://github.com/cran/fca


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


Documentation:   PDF Manual  


GPL (>= 3) license


Suggests covr, knitr, rmarkdown, testthat


See at CRAN