NC_functions-package: Nearest Centroid (NC) Sampling
In NCSampling: Nearest Centroid (NC) Sampling
Description
Details
Author(s)
References
Description
Suite of functions to perform NC sampling. Used by forestry practitioners to select reference plots for imputation using remotely sensed data, for example aerial laser scanning (ALS) data.
Details
Package: NCSampling
Type: Package
Version: 1.0
Date: 2017-06-26
License: GPL-2
Depending on the application, the functions are usually called in the following order:-
Check.pop - check population file for errors
Alloc - allocate sample numbers to strata
Existing - determine the virtual plots, in the target set, which are neighbours to pre-existing plots
Alloc - re-allocate sample numbers to strata, taking into account pre-existing plots and their neighbours
NC.sample - select reference plots from the candidate set, using the internal functions Centroids and NC.select.
Spatial.plot - display the virtual plots, including the NC sample plots, as an x-y graph.
DesVar - calculate approximate design variances for each stratum and for the whole population.
Author(s)
G Melville
Maintainer: <gavin.melville@dpi.nsw.gov.au>
References
G. Melville & C. Stone. (2016) Optimising nearest neighbour information - a simple, efficient sampling strategy for forestry plot imputation using remotely sensed data. Australian Forestry, 79:3, 217:228, DOI: 10.1080/00049158.2016.1218265.
NCSampling documentation built on May 1, 2019, 10:15 p.m.
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Description Details Author(s) References
Description
Suite of functions to perform NC sampling. Used by forestry practitioners to select reference plots for imputation using remotely sensed data, for example aerial laser scanning (ALS) data.
Details
| Package: NCSampling |
| Type: Package |
| Version: 1.0 |
| Date: 2017-06-26 |
| License: GPL-2 |
| Depending on the application, the functions are usually called in the following order:- |
| Check.pop - check population file for errors |
| Alloc - allocate sample numbers to strata |
| Existing - determine the virtual plots, in the target set, which are neighbours to pre-existing plots |
| Alloc - re-allocate sample numbers to strata, taking into account pre-existing plots and their neighbours |
| NC.sample - select reference plots from the candidate set, using the internal functions Centroids and NC.select. |
| Spatial.plot - display the virtual plots, including the NC sample plots, as an x-y graph. |
| DesVar - calculate approximate design variances for each stratum and for the whole population. |
Author(s)
G Melville Maintainer: <gavin.melville@dpi.nsw.gov.au>
References
G. Melville & C. Stone. (2016) Optimising nearest neighbour information - a simple, efficient sampling strategy for forestry plot imputation using remotely sensed data. Australian Forestry, 79:3, 217:228, DOI: 10.1080/00049158.2016.1218265.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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