Density Equalizing Distortion of Large Geographic Point Sets

@article{Bak2009DensityED,
  title={Density Equalizing Distortion of Large Geographic Point Sets},
  author={Peter Bak and Matthias Schaefer and A. Stoffel and D. Keim and I. Omer},
  journal={Cartography and Geographic Information Science},
  year={2009},
  volume={36},
  pages={237 - 250}
}
Visualizing large geo-demographical datasets using pixel-based techniques involves mapping the geospatial dimensions of a data point to screen coordinates and appropriately encoding its statistical value by color. The analysis of such data presents a great challenge. General tasks involve clustering, categorization, and searching for patterns of interest for sociological or economic research. Available visual encodings and screen space limitations lead to over-plotting and hiding of patterns… Expand
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References

SHOWING 1-10 OF 34 REFERENCES
Visualization of Geo-spatial Point Sets via Global Shape Transformation and Local Pixel Placement
RecMap: Rectangular Map Approximations
RecMap: Rectangular Map Approximations
Pixel based visual data mining of geo-spatial data
From The Cover: Diffusion-based method for producing density-equalizing maps.
  • M. Gastner, M. Newman
  • Geography, Medicine
  • Proceedings of the National Academy of Sciences of the United States of America
  • 2004
CartoDraw: a fast algorithm for generating contiguous cartograms
Scalable Pixel-based Visual Interfaces: Challenges and Solutions
Visual data mining in large geospatial point sets
...
1
2
3
4
...