Visualizing statistical significance of disease clusters using cartograms.

Published in: International journal of health geographics (2017)

The proposed geovisual analytics approach enables intuitive visual assessment of statistical significance of arbitrarily defined regions on a cartogram. Our research prompts a broader discussion of the role of geovisual exploratory analyses in disease mapping and the appropriate framework for visually assessing the statistical significance of spatial clusters.

Keyphrases

big data
machine learning
high density
artificial intelligence