pcdf: pcdf
In wccarleton/Rlamap: The Locally Adaptive Model of Archaeological Potential
Description
Usage
Arguments
Value
Description
Estimates the empirical probability and cumulative density (mass) functions
for a dataframe of raster cell values. This function is mostly used internally.
Usage
1
pcdf(traindf, interpolate = F)
Arguments
traindf
A dataframe of raster cells. Each row should be a single cell.
Each column should be a variable of interest (e.g., elevation, slope, etc).
inteprolate
Should the cdf(s) be interpolated to estimate a continuous
pdf? Defaults to False. Ideally, all data should be rounded (effectively
binned) before it's brought into R for lamap analysis. So, interpolation
should not be used. It would undermine one of the fundamental advantages of
of the lamap theory—namely, that multimodal terrain traits could be
important for predictive modelling. Unless the data are very high resolution,
interpolating could erroneously 'smooth out' the very features of the spatial
cdfs that were important to site location.
Value
List containing pcdfs.
wccarleton/Rlamap documentation built on May 24, 2019, 7:50 a.m.
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Description Usage Arguments Value
Description
Estimates the empirical probability and cumulative density (mass) functions for a dataframe of raster cell values. This function is mostly used internally.
Usage
1 | pcdf(traindf, interpolate = F)
|
Arguments
traindf |
A dataframe of raster cells. Each row should be a single cell. Each column should be a variable of interest (e.g., elevation, slope, etc). |
inteprolate |
Should the cdf(s) be interpolated to estimate a continuous pdf? Defaults to False. Ideally, all data should be rounded (effectively binned) before it's brought into R for lamap analysis. So, interpolation should not be used. It would undermine one of the fundamental advantages of of the lamap theory—namely, that multimodal terrain traits could be important for predictive modelling. Unless the data are very high resolution, interpolating could erroneously 'smooth out' the very features of the spatial cdfs that were important to site location. |
Value
List containing pcdfs.
R Package Documentation
Browse R Packages
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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