Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Smock cited in story on how low marriage rates may exacerbate marriage-status economic inequality

Shapiro says Americans' seemingly volatile spending pattern linked to 'sensible cash management'

Work of Cigolle, Ofstedal et al. cited in Forbes story on frailty risk among the elderly

Highlights

Sarah Burgard and former PSC trainee Jennifer Ailshire win ASA award for paper

James Jackson to be appointed to NSF's National Science Board

ISR's program in Society, Population, and Environment (SPE) focuses on social change and social issues worldwide.

McEniry and Schoeni host Conference on Long-run Impacts of Early Life Events

Next Brown Bag


PSC Brown Bags will return in the fall

Daniel G. Brown photo

Stochastic Simulation of Land-Cover Change Using Geostatistics and Generalized Additive Models

Publication Abstract

Brown, Daniel, P. Goovaerts, A. Burnicki, and M.Y. Li. 2002. "Stochastic Simulation of Land-Cover Change Using Geostatistics and Generalized Additive Models." Phtogrammetric Engineering and Remote Sensing, 68(10): 1051-1061.

An approach to simulating land-cover change based on pairs of classified images is presented. The method conditions the simulations on three sources of information: an initial land-cover map, maps of the probabilities of each possible class transition, and a description of the spatial patterns of changes [e.g., semivariogmms). The method can produce multiple simulated land-cover maps that honor each of these sources of information. The approach is demonstmted for data on forest-cover change near %verse City, Michigan. The discussion describes extensions to the method and an approach to generating future land-cover scenarios based on socioeconomic information.

Licensed Access Link

Browse | Search : All Pubs | Next