Package: SurfaceTortoise 2.0.1

Kristin Persson

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.

Authors:Kristin Persson [aut, cre, cph], Mats Soderstrom [ctb, cph], John Mutua [ctb]

SurfaceTortoise_2.0.1.tar.gz
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SurfaceTortoise_2.0.1.tgz(r-4.4-any)SurfaceTortoise_2.0.1.tgz(r-4.3-any)
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SurfaceTortoise.pdf |SurfaceTortoise.html✨
SurfaceTortoise/json (API)

# Install 'SurfaceTortoise' in R:
install.packages('SurfaceTortoise', repos = c('https://ymutua.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kriper0217/surfacetortoise/issues

Datasets:

    On CRAN:

    2.70 score 1 stars 2 scripts 251 downloads 1 exports 26 dependencies

    Last updated 2 years agofrom:232a0d0bb9. Checks:OK: 1 WARNING: 6. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKNov 13 2024
    R-4.5-winWARNINGNov 13 2024
    R-4.5-linuxWARNINGNov 13 2024
    R-4.4-winWARNINGNov 13 2024
    R-4.4-macWARNINGNov 13 2024
    R-4.3-winWARNINGNov 13 2024
    R-4.3-macWARNINGNov 13 2024

    Exports:tortoise

    Dependencies:abindclassclassIntDBIe1071FNNgstatintervalsKernSmoothlatticemagrittrMASSproxyRcpprlangs2sfsftimespspacetimestarsterraunitswkxtszoo