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

PSC In The News

RSS Feed icon

Yang comments on importance of migrant remittances to future of recipient families

Frey says America's black population is changing with recent immigration

Bailey and Danziger's War on Poverty book reviewed in NY Review of Books

Highlights

Hicken wins 2015 UROP Outstanding Research Mentor Award

U-M ranked #1 in Sociology of Population by USN&WR's "Best Graduate Schools"

PAA 2015 Annual Meeting: Preliminary program and list of UM participants

ISR addition wins LEED Gold Certification

Next Brown Bag

Mon, May 18
Lois Verbrugge, Disability Experience & Measurement

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