SurfaceTortoise: Find Optimal Sampling Locations Based on Spatial Covariate(s)

Create sampling designs using the surface reconstruction algorithm. Original method by: Olsson, D. 2002. A method to optimize soil sampling from ancillary data. Poster presenterad at: NJF seminar no. 336, Implementation of Precision Farming in Practical Agriculture, 10-12 June 2002, Skara, Sweden.

Version: 0.1.0
Depends: R (≥ 3.4.0)
Imports: raster, gstat, rgeos, sp, gtools, rgdal, utils, grDevices
Suggests: roxygen2
Published: 2018-04-05
Author: Kristin Piikki & Mats Soderstrom
Maintainer: Kristin Piikki <kristin.piikki at slu.se>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: SurfaceTortoise results

Downloads:

Reference manual: SurfaceTortoise.pdf
Package source: SurfaceTortoise_0.1.0.tar.gz
Windows binaries: r-devel: SurfaceTortoise_0.1.0.zip, r-release: SurfaceTortoise_0.1.0.zip, r-oldrel: SurfaceTortoise_0.1.0.zip
OS X binaries: r-release: SurfaceTortoise_0.1.0.tgz, r-oldrel: SurfaceTortoise_0.1.0.tgz

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