Partial support for this paper was provided by the National Institute of Justice, grant #82-IJ-CX-0019. The author is thankful to H. Couclelis, L. Hubert, and R. Golledge for inspiration, guidance and kind advice.
STATISTICAL INFERENCE IN GEOGRAPHY: MODERN APPROACHES SPELL BETTER TIMES AHEAD*
Version of Record online: 23 FEB 2005
The Professional Geographer
Volume 35, Issue 2, pages 158–165, May 1983
How to Cite
Costanzo, C. M. (1983), STATISTICAL INFERENCE IN GEOGRAPHY: MODERN APPROACHES SPELL BETTER TIMES AHEAD. The Professional Geographer, 35: 158–165. doi: 10.1111/j.0033-0124.1983.00158.x
- Issue online: 23 FEB 2005
- Version of Record online: 23 FEB 2005
- Statistical assumptions;
- significance testing;
- randomization tests;
Concepts relevant to statistical inference testing are discussed within a framework which contrasts conventional methodology with current trends in statistics. The latter are emphasized as having the quality of being less restrictive than the former. To show this quality, randomization testing is described and an example presented. Also described is a nonparametric technique known as QAP, which is particularly versatile. Optimism is expressed about the potentiality of such procedures for geographic research.