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: 1.0.1
Depends: R (≥ 3.4.4)
Imports: raster, gstat, rgeos, sp
Suggests: roxygen2
Published: 2019-05-13
Author: Kristin Piikki & Mats Söderström
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_1.0.1.tar.gz
Windows binaries: r-devel: SurfaceTortoise_1.0.1.zip, r-devel-gcc8: SurfaceTortoise_1.0.1.zip, r-release: SurfaceTortoise_1.0.1.zip, r-oldrel: SurfaceTortoise_1.0.1.zip
OS X binaries: r-release: SurfaceTortoise_1.0.1.tgz, r-oldrel: SurfaceTortoise_1.0.1.tgz
Old sources: SurfaceTortoise archive

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