Spatial process and data models: Toward integration of agent-based models and GIS Export

@article{citeulike:4779893, abstract = {Abstract. 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. Key words: Object-orientation, Agent-based models, Spatial-temporal modeling, Topology}, author = {Brown, Daniel G. and Riolo, Rick and Robinson, Derek T. and North, Michael and William, R.}, citeulike-article-id = {4779893}, citeulike-linkout-0 = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.4500}, journal = {Journal of Geographical Systems}, keywords = {agents, gis, modeling, spatial}, pages = {25--47}, posted-at = {2009-06-08 18:41:35}, priority = {4}, title = {Spatial process and data models: Toward integration of agent-based models and GIS}, url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.4500}, volume = {7}, year = {2005} }

TY - JOUR ID - citeulike:4779893 L3 - citeulike-article-id:4779893 N2 - Abstract. 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. Key words: Object-orientation, Agent-based models, Spatial-temporal modeling, Topology JF - Journal of Geographical Systems EP - 47 TI - Spatial process and data models: Toward integration of agent-based models and GIS VL - 7 SP - 25 KW - agents KW - gis KW - modeling KW - spatial AU - Brown, Daniel AU - Riolo, Rick AU - Robinson, Derek AU - North, Michael AU - William, R PY - 2005/// UR - http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.4500 ER -