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SurfaceTortoise  

Find Optimal Sampling Locations Based on Spatial Covariate(s)
View on CRAN: Click here


Download and install SurfaceTortoise package within the R console
Install from CRAN:
install.packages("SurfaceTortoise")

Install from Github:
library("remotes")
install_github("cran/SurfaceTortoise")

Install by package version:
library("remotes")
install_version("SurfaceTortoise", "2.0.1")



Attach the package and use:
library("SurfaceTortoise")
Maintained by
Kristin Persson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-05
Latest Update: 2023-05-09
Description:
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.
How to cite:
Kristin Persson (2018). SurfaceTortoise: Find Optimal Sampling Locations Based on Spatial Covariate(s). R package version 2.0.1, https://cran.r-project.org/web/packages/SurfaceTortoise
Previous versions and publish date:
0.1.0 (2018-04-05 14:51), 1.0.0 (2019-05-07 17:40), 1.0.1 (2019-05-13 21:40), 1.0.2 (2020-10-02 10:32)
Other packages that cited SurfaceTortoise R package
View SurfaceTortoise citation profile
Other R packages that SurfaceTortoise depends, imports, suggests or enhances
Functions, R codes and Examples using the SurfaceTortoise R package
Some associated functions: tortoise . 
Some associated R codes: tortoise.R .  Full SurfaceTortoise package functions and examples
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