A Simple Pipeline for Coherent Grid Maps.

Area of Science:

• Cartography and Geographic Information Science
• Data Visualization
• Computational Geometry

Background:

• Grid maps visualize complex data per spatial element using tiled representations.
• Effective grid maps preserve geographic contiguity, neighborhoods, and global shape features.
• Current methods struggle with complex spatial distributions and shapes with salient local features.

Purpose of the Study:

• To introduce a fully-automated pipeline for computing coherent grid maps.
• To address limitations of state-of-the-art techniques in handling complex spatial data.
• To generate high-quality grid maps that accurately represent geographic features.

Main Methods:

• A 3-step automated pipeline integrating shape decomposition, Mosaic Cartograms, and point-set matching.
• Shape decomposition based on salient geographic features.
• Tile-based cartogram generation and point-set matching for spatial element assignment.

Main Results:

• The pipeline successfully generates high-quality coherent grid maps.
• Demonstrated efficacy on diverse and complex datasets.
• Outperforms state-of-the-art methods in grid map generation.

Conclusions:

• The proposed pipeline offers a robust and automated solution for creating accurate grid maps.
• This approach enhances the visualization of complex spatial data by preserving key geographic characteristics.
• The seamless integration of established techniques results in superior grid map quality.