Building a prototype Geographical Correlates Exploration Machine
- 1 July 1990
- journal article
- research article
- Published by Taylor & Francis in International Journal of Geographical Information Science
- Vol. 4 (3) , 297-311
- https://doi.org/10.1080/02693799008941548
Abstract
The paper describes a exploratory procedure for data analysis for use within GIS. The objective is to search digital map databases for the presence of geographical relationships that may be useful for descriptive purposes, as a pointer towards areas for further investigation, and as a means of generating hypotheses for subsequent testing. A prototype Geographical Correlates Exploration Machine (GCEM) is demonstrated by searching for possible linkages between children with leukaemia and a selection of environmental coverages. Arc Info is used for the GIS parts and a Cray X-MP/48 supercomputer for the analysis. Ultimately, it is envisaged that GCEM will be able to run entirely within a GIS workstation environment.Keywords
This publication has 5 references indexed in Scilit:
- Generalized Monte Carlo significance testsBiometrika, 1989
- Childhood Leukaemia and Nuclear InstallationsJournal of the Royal Statistical Society Series A: Statistics in Society, 1989
- A Mark 1 Geographical Analysis Machine for the automated analysis of point data setsInternational Journal of Geographical Information Science, 1987
- Simultaneous Inference in Epidemiological StudiesInternational Journal of Epidemiology, 1982
- Some Computational Procedures for the Best Subset ProblemJournal of the Royal Statistical Society Series C: Applied Statistics, 1971