The methodology used is inverse distance weighting, with a smoothing parameter.
The model returns a contour map (as a PDF) and the gridded results (as a file).
Generates a simple contour map from a file of space delimited XYZ data.
The methodology used is inverse distance weighting, with a smoothing parameter.
The model returns a contour map (as a PDF) and the gridded results (as a file).
Generates a simple contour map from a file of space delimited XYZ data.
The methodology used is inverse distance weighting, with a smoothing parameter.
The model returns a contour map (as a PDF) and the gridded results (as a file).
User supplies a file of XYZ data, and sets some gridding parameters.
The exponent is a value used in an inverse distance weighting,make it
large (~19) and algorithm approximates nearest neighbor. Make it small (~0.5)
and map is smoothed a lot.
The smoothing parameter impacts the search distance -- large values approach make
the map approach a mean value for all the supplied data.
Step 1: Generate an XYZ file, space (tab) delimited, on your computer.
Put it somewhere you can easily find the file for the upload step.
Step 2: Upload the XYZ file (Skip this step if the file is already uploaded)
Step 3: Supply Gridding and Mapping Parameters Below