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.
| 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. | Package: NCSampling |
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.