Challenges in Evaluating Models of Geographic Complexity

Steven M Manson
Additional contact information
Steven M Manson: Department of Geography, University of Minnesota, 414 Social Sciences, 267 19th Avenue South, Minneapolis, MN 55455, USA

Environment and Planning B, 2007, vol. 34, issue 2, 245-260

Abstract: Geographic complexity—the explicit integration of complexity research with space and place-based research—faces interrelated methodological, conceptual, and policy challenges. The rubric of model evaluation is central both to understanding and to meeting these challenges. They include methodological issues such as sensitivity and complex scaling; the conceptual challenges of conflating pattern and process, and reconciling simplicity and complexity; and policy issues posed by the science–policy gap and postnormal science. The importance of these challenges and the centrality of model evaluation in meeting them are demonstrated through examples drawn from human-environment systems, with particular reference to global environmental change and land-use and land-cover change. Specific model-evaluation strategies are also offered.

Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1068/b31179 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:envirb:v:34:y:2007:i:2:p:245-260

DOI: 10.1068/b31179

Access Statistics for this article

More articles in Environment and Planning B
Bibliographic data for series maintained by SAGE Publications ().