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. Author manuscript; available in PMC: 2012 Apr 11.
Published in final edited form as: Appl Geogr. 2011 Aug 10;32(2):601–607. doi: 10.1016/j.apgeog.2011.07.009

Fig. 2. ESDA Overview.

Fig. 2

ESDA is primarily comprised of two important components: visualization and statistics. Tools of visualization include maps, scatterplots, RadViz (a method mapping high-dimensional data onto two dimensional space) and projection pursuit (a technique finding projections that can reveal structures in high-dimensional data), etc. Common statistics include basic descriptive, Moran’s I, and LISA. In addition, some elements are in the intersection of those two parts, such as histogram and cartogram.