Description Usage Arguments Value Examples
declusR
calculates decluster weights for two or three-dimensional
sample data using the CCG Fortran program declus
. Cell declustering is
used with optional offsets of the grid origin. The program automatically
selects the decluster cell size from a range of deinfined sizes based on
either the minimum or maximum declustered mean. Trimming limits are fixed to
-1.0e21 and +1.0e21.
1 2 |
data |
Data frame with coordinate and value fields. |
cols |
Character vector of column names in |
yz_aniso |
Numeric vector of Y and Z cell dimension anisotropy factors. Y and Z cell size is determined by multiplying these factors and the X cell size. Default is 1, 1. |
min_max |
Scalar integer 0 or 1. When selecting the decluster cell size consider either the minimum mean (0) or the maximum mean (1). Default is 0. |
cells |
Numeric vector defining delcuster cells. 1 is number of cell
size intervals to use in determining optimal cell size. 2 and 3 are minimum
and maximum x-axis cell sizes to consider. 4 is is number of origin
offsets for decluster grid. Default is |
debug |
Scalar boolean. If |
A list of three data frames: data
contains the coordinates,
value, and decluster weight; plot_data
contains decluster cell sizes
and means for plotting; and stats
contains summary statistics
associated with the declustering.
1 2 3 4 |
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