Show simple item record

dc.contributor.authorRiolo, Rick L.en_US
dc.contributor.authorBrown, Daniel G.en_US
dc.contributor.authorRobinson, Derek T.en_US
dc.contributor.authorNorth, Michaelen_US
dc.contributor.authorRand, Williamen_US
dc.date.accessioned2006-09-11T19:33:52Z
dc.date.available2006-09-11T19:33:52Z
dc.date.issued2005-05en_US
dc.identifier.citationBrown, Daniel G.; Riolo, Rick; Robinson, Derek T.; North, Michael; Rand, William; (2005). "Spatial process and data models: Toward integration of agent-based models and GIS." Journal of Geographical Systems 7(1): 25-47. <http://hdl.handle.net/2027.42/47930>en_US
dc.identifier.issn1435-5930en_US
dc.identifier.issn1435-5949en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/47930
dc.description.abstractThe 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.en_US
dc.format.extent386730 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherSpringer-Verlag; Springer-Verlag Berlin Heidelbergen_US
dc.subject.otherAgent-based Modelsen_US
dc.subject.otherObject-orientationen_US
dc.subject.otherTopologyen_US
dc.subject.otherSpatial-temporal Modelingen_US
dc.subject.otherEconomics / Management Scienceen_US
dc.subject.otherGeography (General)en_US
dc.subject.otherRegional Scienceen_US
dc.titleSpatial process and data models: Toward integration of agent-based models and GISen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelGeography and Mapsen_US
dc.subject.hlbsecondlevelCivil and Environmental Engineeringen_US
dc.subject.hlbsecondlevelAtmospheric, Oceanic and Space Sciencesen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Natural Resources and Environment, , University of Michigan, , 430 E. University, Ann Arbor, MI, 48109-1115, USA ; Center for the Study of Complex Systems, , University of Michigan, ,  en_US
dc.contributor.affiliationumCenter for the Study of Complex Systems, , University of Michigan, ,  en_US
dc.contributor.affiliationumSchool of Natural Resources and Environment, , University of Michigan, , 430 E. University, Ann Arbor, MI, 48109-1115, USA ; Center for the Study of Complex Systems, , University of Michigan, ,  en_US
dc.contributor.affiliationumCenter for the Study of Complex Systems, , University of Michigan, ,  en_US
dc.contributor.affiliationotherArgonne National Laboratory, ,  en_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/47930/1/10109_2005_Article_148.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s10109-005-0148-5en_US
dc.identifier.sourceJournal of Geographical Systemsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record