R_GIS

Bridging R with ArcGIS - Examples

Requirements

• ArcGIS R bridge
• R Statistical Computing Software

Using R as a scripting tool to generate geostatistical tools for ArcGIS to work with.

• This Repository has two tools as of now meant for kriging and Point pattern analysis
  • The kriging tool is enabled to perform Ordinary kriging and Universal kriging while the other performs the estimation of density of point pattern and simulates point pattern.
• The Ordinary kriging simply interpolates the values.
• The Universal kriging uses a covariate [sqrt(dist)] to interpolate the values.
• The point pattern tool estimates the density and simulates a point pattern with the estimated density.

Credits

Ordinary and Universal kriging use the gstat package for R:

gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation By Edzer Pebesma [aut, cre], Benedikt Graeler [aut] Licensed under GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]

Point Pattern analysis uses the spatstat package for R:

spatstat: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests URL: http://www.spatstat.org Maintained by Adrian Baddeley Adrian.Baddeley@curtin.edu.au Licenced under GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

All tools depend on the R Statistical Computing Software:

Copyright (C) 2015 The R Foundation for Statistical Computing R is free software and comes with ABSOLUTELY NO WARRANTY.