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

PSC In The News

RSS Feed icon

Stafford says exiting down stock market worsened position of low-income households

Bailey's work cited on growing income disparities in college enrollment and graduation

Murphy says mobile sensor data will allow adaptive interventions for maximizing healthy outcomes

Highlights

PSC Fall 2014 Newsletter now available

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Michigan's graduate sociology program tied for 4th with Stanford in USN&WR rankings

Jeff Morenoff makes Reuters' Highly Cited Researchers list for 2014

Next Brown Bag

Monday, Nov 3
Melvin Stephens, Estimating Program Benefits

Daniel G. Brown photo

Spatial Process and Data Models: Toward Integration of Agent-Based Models and GIS

Publication Abstract

Brown, Daniel, R. Riolo, D.T. Robinson, M. North, and W. Rand. 2005. "Spatial Process and Data Models: Toward Integration of Agent-Based Models and GIS." Journal of Geographical Systems, 7(1): 1-23.

The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena. In order to better understand how tight coupling might proceed and to evaluate the possible functional and efficiency gains from such a tight coupling, we identify four key relationships affecting how geographic data (fields and objects) and agent-based process models can interact: identity, causal, temporal and topological. We discuss approaches to implementing tight integration, focusing on a middleware approach that links existing GIS and ABM development platforms, and illustrate the need and approaches with example agent-based models.

DOI:10.1007/s10109-005-0148-5 (Full Text)

Public Access Link

Browse | Search : All Pubs | Next