EPA Science Inventory

CONDITIONED CHOROPLETH MAPS AND HYPOTHESIS GENERATION

Citation:

Carr, D. B., R D. White, AND A. M. MacEachren. CONDITIONED CHOROPLETH MAPS AND HYPOTHESIS GENERATION. ANNALS OF THE ASSOCIATION OF AMERICAN GEOGRAPHERS. Blackwell Publishing, Malden, MA, 95(1):32-53, (2005).

Description:

The paper describes a recently developed for multivariate data analysis template called conditioned choropleth maps (CCmaps). This template is a two-way layout of maps designed to facilitate comparisons. The template can show the association between a dependent variable, as represented in a classed choropleth map, and two potential explanatory variables. The data-analytic objective is to promote better-directed hypothesis generation about the variation of a dependent variable. The CCmap approach does this by partitioning the data into subsets to control the variation in the dependent variable that is associated with two conditioning variables. The interactive implementation of CCmaps introduced here provides dynamically updated map panels and statistics that help in comparing the distributions of conditioned subsets. Patterns evident across subsets indicate the association of conditioning variables with the dependent variable. The patterns lead to hypothesis generation about scientific relationships behind the apparent associations. Spatial patterns evident within individual subsets lead to hypothesis generation that is often mediated by the analyst's knowledge about additional variables.

Record Details:

Record Type: DOCUMENT (JOURNAL/PEER REVIEWED JOURNAL)
Start Date: 01/01/2005
Completion Date: 01/01/2005
Record Last Revised: 12/21/2005
Record Created: 12/08/2004
Record Released: 12/08/2004
Record ID: 105015

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL HEALTH AND ENVIRONMENTAL EFFECTS RESEARCH LAB

WESTERN ECOLOGY DIVISION

AQUATIC MONITORING & BIOASSESSMENT BRANCH