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Spatial Density Map Data Function for Spotfire® Release 1.2


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Summary

Density Maps allow you to visualize overall patterns in the density of spatial data.

Overview

Density Maps are useful in providing a high level summary to visualize overall patterns in the density of spatial data, much like a two-dimensional histogram density.  Studying raw point data for patterns can be difficult owing to uneven spatial coverage.

Density Maps start by the calculation of a smoothly varying surface to represent the density of the data. This surface is represented by a colored heatmap and contours.

The data function produces three data tables:

  • Densitymap is a filled polygon shapefilewhich is best rendered as partially transparent colors.
  • Contours and MajorContours are two additional tables that can optionally be used to draw the major (coarse) and minor (fine) contour lines.

 

Installing the data function

Follow the online guide available here to register a data function in Spotfire.

 

Configuring the data function

Each data function may require inputs from the Spotfire analysis and will return outputs to the Spotfire analysis. For each data function, these need to be configured once the data function is registered. To learn about how to configure data functions in Spotfire please view this video:

For more information on Spotfire visit the Spotfire training page.

 

Data function library

There exists a large number of data functions covering various features. Feel free to review what is available on the Data Function Library.

Release P1.2

Published: March 2017

Initial Release


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