Conditioned Choropleth Maps and Hypothesis Generation

By Daniel B. Carr, Denis White, Alan M. MacEachren. 2005

67 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Ecological Modeling, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/23dde01c68d6054c7a527e622e04a0c6e434a867

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jin Chen
2. Ke Liao
3. Alan M. MacEachren
4. Diansheng Guo
5. Daniel R. Montello
6. Gennady L. Andrienko
7. Natalia V. Andrienko

In Ecological Modeling

1. Diansheng Guo
2. Natalia V. Andrienko
3. Gennady L. Andrienko

Citations in the corpus

• A Visualization System for Space-Time and Multivariate Patterns (VIS-STAMP) (2006, methodology): “Carr et al. [11] present a visualization approach for multivariate data analysis called conditioned choropleth maps (CCmaps) that uses a two-way layout of maps (and matching views of statistical distributions) designed to facilitate comparisons by showing the association between a dependent…”