SpNetPrep: Linear Network Preprocessing for Spatial Statistics
Launches a Shiny application that allows users to carry out some of the steps that are required to curate both a linear network object based on a road structure and a point pattern that lies on such a network, becoming two previous steps to the performance of a spatial statistics analysis.
Version: |
1.2 |
Depends: |
R (≥ 3.5.0) |
Imports: |
spatstat.geom, spatstat.core, spatstat.linnet, spatstat (≥
2.0-0), leaflet, shiny, sp, raster, maptools, rgdal, shinythemes, prodlim |
Suggests: |
knitr, rmarkdown, testthat |
Published: |
2021-03-17 |
Author: |
Alvaro Briz-Redon |
Maintainer: |
Alvaro Briz-Redon <alvaro.briz at uv.es> |
License: |
GPL-2 |
NeedsCompilation: |
no |
Materials: |
README |
CRAN checks: |
SpNetPrep results |
Documentation:
Downloads:
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