calc_polynomial_trend_surface: fit a higher-order GLM to our spatial data and a field of...
In PLJV/Ogallala: Fetches, processes, and models groundwater levels for the High Plains (Ogalalla) region of the US.
Description
fit a higher-order GLM to our spatial data and a field of your choice
and use it to generate a polynomial trend raster surface of that field
Usage
1
2
calc_polynomial_trend_surface(pts, order = 3, field = NULL,
predRaster = NULL)
PLJV/Ogallala documentation built on May 7, 2019, 11:49 p.m.
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Description
fit a higher-order GLM to our spatial data and a field of your choice and use it to generate a polynomial trend raster surface of that field
Usage
1 2 | calc_polynomial_trend_surface(pts, order = 3, field = NULL,
predRaster = NULL)
|
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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