3D Classification of a XYZ-Dataset

Introduction

The Add-Ins “3D Classification of a XYZ-Dataset” can be used to classify map data. The bins in x- and y-direction can be specified. For each bin a statistic value can be calculated and saved as a matrix or displayed as a 3D bar plot.

Installation

  • Choose Tools=>Add-In Manager.

  • Check the “3D Classification of a XYZ-Dataset” addin.

  • Choose OK. Restart UniPlot.

    The installed files are located in the C:\Program Files\UniPlot\AddIn\RS_3DCLS directory.

    rs_3dcls.ic UniScript File
    rs_3dcls.icl rs_3dcls.ic in object code

Usage

  • Choose File=>More File Functions. Choose the function “3D Classification of a XYZ-Dataset”.

  • In the following dialog box select a data file. The file will be converted into the netCDF format. If the NC file was created, the following dialog box will be displayed:

    ../../_images/3d-Class-ChannelSelect-en.png

    Choose a channel for x, y and z.

    Equidistantly distributed classes: You can specify the number of bins:

    ../../_images/3d-Class-BinDefinition_fix-en.png

    Non equidistantly distributed classes: You can specify the bin edges:

    ../../_images/3d-Class-BinDefinition_variable-en.png

  • In the “output field” you select the output type.

Output

If the output Table is selected the function calculates the following matrices: Minimum, Maximum, Mean, Median, Standard Deviation, Sum, Points in Class

The following plots can be created as 3D bar plots:

Plot Minimum
Plot Maximum
Plot Mean
Plot Median
Plot Standard Deviation
Plot Sum
Plot Points in Class
“Plot Percent of Sum(z)”;
“Plot Points in Class in % (Relative Frequency)”;

History

  • 19.01.2010: Non equidistantly distributed classes modified: Uses bin edges instead of bin mid points.
  • 28.04.2009: Data saved in clipboard.
  • 26.11.2008: Dialog box modified.
  • 10.07.2006: Documentation added.

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