NCSampling-package {NCSampling}

Nearest Centroid (NC) Sampling

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: <[e-mail]>

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.