Package: NCSampling 1.0
Gavin Melville
NCSampling: Nearest Centroid (NC) Sampling
Provides functionality for performing Nearest Centroid (NC) Sampling. The NC sampling procedure was developed for forestry applications and selects plots for ground measurement so as to maximize the efficiency of imputation estimates. It uses multiple auxiliary variables and multivariate clustering to search for an optimal sample. Further details are given in Melville G. & Stone C. (2016) <doi:10.1080/00049158.2016.1218265>.
Authors:
NCSampling_1.0.tar.gz
NCSampling_1.0.tar.gz(r-4.5-noble)NCSampling_1.0.tar.gz(r-4.4-noble)
NCSampling_1.0.tgz(r-4.4-emscripten)NCSampling_1.0.tgz(r-4.3-emscripten)
NCSampling.pdf |NCSampling.html✨
NCSampling/json (API)
| # Install 'NCSampling' in R: |
| install.packages('NCSampling', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:3218be49c8. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 07 2024 |
| R-4.5-linux | OK | Dec 07 2024 |
Exports:AddzAllocCentroidsCheck.popDesVarDVarExistingNC.sampleNC.selectR.sample1Spatial.plot
Dependencies:latticerandomForestyaImpute
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Nearest Centroid (NC) Sampling | NCSampling-package NCSampling |
| Addz | Addz |
| Allocation | Alloc |
| Calculate centroids | Centroids |
| Check population file | Check.pop |
| Design variances for NC sample. | DesVar |
| Design variances for single stratum. | DVar |
| Pre-existing plot neighbours | Existing |
| Nearest Centroid (NC) Sample | NC.sample |
| Nearest Centroid (NC) Plot Selection | NC.select |
| Nundle State Forest LiDAR data | nundle.sf |
| Random sample. | R.sample1 |
| Spatial Plot | Spatial.plot |
| Nundle State Forest LiDAR data | training |