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

PSC In The News

RSS Feed icon

Hindustan Times points out high value of H-1B visas for US innovation, welfare, and tech firm profits

Novak, Geronimus, Martinez-Cardoso: Threat of deportation harmful to immigrants' health

Students from two worlds learn from one another in Morenoff's Inside-Out class

More News

Highlights

Heather Ann Thompson wins Pulitzer Prize for book on Attica uprising

Lam explores dimensions of the projected 4 billion increase in world population before 2100

ISR's Nick Prieur wins UMOR award for exceptional contribution to U-M's research mission

How effectively can these nations handle outside investments in health R&D?

More Highlights

Next Brown Bag

Mon, April 10, 2017, noon:
Elizabeth Bruch

Daniel G. Brown photo

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

Publication Abstract

Brown, Daniel G., 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