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

PSC In The News

RSS Feed icon

Owen-Smith says universities must demonstrate value of higher education

Armstrong says USC's removal of questions from a required Title IX training module may reflect student-administration relations

Fomby finds living with step- or half-siblings linked to higher aggression among 5 year olds

Highlights

PRB training program in policy communication for pre-docs. Application deadline, 2.28.2016

Call for proposals: PSID small grants for research on life course impacts on later life wellbeing

PSC News, fall 2015 now available

Barbara Anderson appointed chair of Census Scientific Advisory Committee

Next Brown Bag

Monday, Feb 1 at noon, 6050 ISR-Thompson
Sarah Miller

Daniel G. Brown photo

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

Publication Abstract

Brown, Daniel G., 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