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| Young, Oran R.; University of California at Santa Barbara, Bren School; young@bren.ucsb.edu; Lambin, Eric F.; University of Louvain; lambin@geog.ucl.ac.be; Alcock, Frank; New College of Florida; falcock@ncf.edu; Haberl, Helmut; Institute of Social Ecology; Helmut.Haberl@uni-klu.ac.at; Karlsson, Sylvia I.; Finland Futures Research Centre; sylvia.karlsson@tukkk.fi; McConnell, William J.; LUCC Focus 1 Office; wjmcconn@indiana.edu; Myint, Tun; CIPEC; tmyint@indiana.edu; Polsky, Colin; Clark University; cpolsky@clarku.edu; Ramakrishnan, P. S.; Jawaharlal Nehru University; psrama@jnuniv.ernet.in; Schroeder, Heike; University of California at Santa Barbara; schroeder@bren.ucsb.edu; Scouvart, Marie; University of Louvain; scouvart@geog.ucl.ac.be; Verburg, Peter H; Wageningen University; Peter.Verburg@wur.nl. |
| The challenge confronting those seeking to understand the institutional dimensions of global environmental change and patterns of land-use and land-cover change is to find effective methods for analyzing the dynamics of socio-ecological systems. Such systems exhibit a number of characteristics that pose problems for the most commonly used statistical techniques and may require additional and innovative analytic tools. This article explores options available to researchers working in this field and recommends a strategy for achieving scientific progress. Statistical procedures developed in other fields of study are often helpful in addressing challenges arising in research into global change. Accordingly, we start with an assessment of some of the enhanced... |
| Tipo: Peer-Reviewed Insight |
Palavras-chave: Land change; Institutions; Methodology; Analysis; Socio-ecological systems; Statistical techniques. |
| Ano: 2006 |
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