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Spatial Heat Map Data Function for Spotfire® 1.4

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Spatial Heat Maps allow you to visualize overall patterns in numeric spatial data.


Heat maps are useful in providing a high level summary to visualize overall patterns in spatial data.  Studying raw point data for patterns can be difficult owing to uneven spatial coverage, and random variability in the values.

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

The data function produces three data tables:

  • Heatmap is a filled polygon shapefile which 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.

Spotfire Platform Release 1.4

Published: July 2017

Additional visualization added to the .dxp to show another example of how this data function can be used.  


Spotfire Platform Release 1.2

Published: March 2017

Initial Release

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