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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).
Package details |
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Author | Etienne Grueebler [aut, cre], Merlin Unterfinger [aut] (<https://orcid.org/0000-0003-2020-2366>), Reto Joerg [ctb] |
Maintainer | Etienne Grueebler <package@etienne.app> |
License | GPL (>= 3) |
Version | 0.1.0 |
URL | https://egrueebler.github.io/fca/ https://github.com/egrueebler/fca/ |
Package repository | View on CRAN |
Installation |
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