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: 2.0.1
Depends: R (≥ 3.4.4)
Imports: terra, gstat, sf
Suggests: roxygen2, testthat (≥ 3.0.0)
Published: 2023-05-09
Author: Kristin Persson [aut, cre, cph], Mats Soderstrom [ctb, cph], John Mutua [ctb]
Maintainer: Kristin Persson <kristin.persson at slu.se>
BugReports: https://github.com/kriper0217/SurfaceTortoise/issues
License: MIT + file LICENSE
URL: https://CRAN.R-project.org/package=SurfaceTortoise
NeedsCompilation: no
CRAN checks: SurfaceTortoise results

Documentation:

Reference manual: SurfaceTortoise.pdf

Downloads:

Package source: SurfaceTortoise_2.0.1.tar.gz
Windows binaries: r-devel: SurfaceTortoise_2.0.1.zip, r-release: SurfaceTortoise_2.0.1.zip, r-oldrel: SurfaceTortoise_2.0.1.zip
macOS binaries: r-release (arm64): SurfaceTortoise_2.0.1.tgz, r-oldrel (arm64): SurfaceTortoise_2.0.1.tgz, r-release (x86_64): SurfaceTortoise_2.0.1.tgz
Old sources: SurfaceTortoise archive

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