Extensions to Dynamically Conditioned Choropleth Maps
Yuguang Zhang, (FreddieMac), yuguang_zhang@freddiemac.com , and
Daniel B. Carr, (George Mason University), dcarr@gmu.edu
Abstract
This paper discusses recent extensions of CCmaps. CCmaps is visual analytic software for dynamically conditioning and studying choropleth maps. The software serves as a hypothesis generation tool for patterns observed in geospatially indexed statistics. Since CCmaps incorporates many basic statistics and statistical graphics, such as weighted means, two-way tables, scatterplot smoothes and QQplots, CCmaps can also motivate discussion in statistical education settings. The first extension described is a fast search algorithm for creating a pick list of interesting slider settings. The second is the ability to save annotated sequences of the program state for later replay. CCmaps is fully live when each state is restored. This fundamental analysis management feature for dynamic software is also useful for presentations and in the production of tutorials.