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A New Geographic Process Data Model

dc.contributor.advisorAlbrecht, Jochenen_US
dc.contributor.authorReitsma, Femke Emmaen_US
dc.date.accessioned2005-08-03T13:09:09Z
dc.date.available2005-08-03T13:09:09Z
dc.date.issued2005-03-02en_US
dc.identifier.urihttp://hdl.handle.net/1903/2322
dc.description.abstractProcesses, although the subject matter of geography, have not been represented in a manner that aids their querying and analysis. This dissertation develops an appropriate data model that allows for such a process oriented representation, which is built upon a theory of process. The data model, called nen, focuses existing modeling approaches on representing and storing process information. The flux simulation framework was created utilizing the nen data model to represent processes; it extends the RePast agent based modeling environment. This simulator includes basic classes for developing a domain specific simulation and a set of query tools for inquiring after the results of a simulation. The methodology was then prototyped with a watershed runoff simulation.en_US
dc.format.extent1958659 bytes
dc.format.extent1958659 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleA New Geographic Process Data Modelen_US
dc.typeDissertationen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentGeographyen_US
dc.subject.pqcontrolledGeographyen_US
dc.subject.pqcontrolledComputer Scienceen_US
dc.subject.pquncontrolledontologiesen_US
dc.subject.pquncontrolleddata modelen_US
dc.subject.pquncontrolledprocessen_US
dc.subject.pquncontrolledGIScienceen_US
dc.subject.pquncontrolledgeographyen_US
dc.subject.pquncontrolledrepresentationen_US


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