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: 1.0.2
Depends: R (≥ 3.4.4)
Imports: raster, gstat, rgeos, sp
Suggests: roxygen2
Published: 2020-10-02
Author: Kristin Piikki, Mats Söderström & John Mutua
Maintainer: Kristin Piikki <kristin.piikki at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: SurfaceTortoise results


Reference manual: SurfaceTortoise.pdf


Package source: SurfaceTortoise_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SurfaceTortoise_1.0.2.tgz, r-oldrel (arm64): SurfaceTortoise_1.0.2.tgz, r-release (x86_64): SurfaceTortoise_1.0.2.tgz, r-oldrel (x86_64): SurfaceTortoise_1.0.2.tgz
Old sources: SurfaceTortoise archive


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