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autoimage: Multiple Heat Maps for Projected Coordinates.

Joshua P French1

  • 1University of Colorado Denver, Campus Box 170, PO Box 173364, Denver, CO 80217, USA.

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Summary
This summary is machine-generated.

The autoimage package simplifies creating multiple heat maps, even with projected coordinates. It offers features like automatic color scales and support for various data grids, enhancing spatial data visualization.

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Area of Science:

  • Geographic Information Systems (GIS)
  • Data Visualization
  • Scientific Computing

Background:

  • Heat maps are essential for visualizing spatial data on 2D grids.
  • Existing tools may lack comprehensive features for complex heat map generation, especially with projected coordinates.

Purpose of the Study:

  • To introduce the autoimage package for streamlined heat map creation.
  • To highlight the package's capabilities in handling projected coordinates and diverse data types.
  • To demonstrate the superiority of autoimage compared to existing heat map tools.

Main Methods:

  • Utilizing the autoimage package for generating heat maps.
  • Supporting regular, irregular, and non-gridded data.
  • Implementing automatic color scale inclusion.
  • Facilitating the creation of heat map matrices with common or individual color scales.
  • Integrating coordinate projection and geographic feature additions.

Main Results:

  • The autoimage package provides a unified approach to creating multiple, seamless heat maps.
  • It efficiently handles projected coordinates and various data structures.
  • Features like automatic color scales and geographic overlays are natively supported.
  • Comparative analysis shows autoimage's advantages over existing solutions.

Conclusions:

  • The autoimage package offers a powerful and flexible solution for advanced heat map generation.
  • It simplifies complex spatial data visualization tasks.
  • The package is a valuable tool for researchers and practitioners working with geospatial data.