A New Geographic Process Data Model
| dc.contributor.advisor | Albrecht, Jochen | en_US |
| dc.contributor.author | Maxine, Penelope Aurelia Annabell | en_US |
| dc.contributor.department | Geography | en_US |
| dc.contributor.publisher | Digital Repository at the University of Maryland | en_US |
| dc.contributor.publisher | University of Maryland (College Park, Md.) | en_US |
| dc.date.accessioned | 2005-08-03T13:09:09Z | |
| dc.date.available | 2005-08-03T13:09:09Z | |
| dc.date.issued | 2005-03-02 | en_US |
| dc.description.abstract | Processes, 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. NOTE: The author was formerly called Femke Reitsma. | en_US |
| dc.format.extent | 1958659 bytes | |
| dc.format.extent | 1958659 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1903/2322 | |
| dc.language.iso | en_US | |
| dc.subject.pqcontrolled | Geography | en_US |
| dc.subject.pqcontrolled | Computer Science | en_US |
| dc.subject.pquncontrolled | ontologies | en_US |
| dc.subject.pquncontrolled | data model | en_US |
| dc.subject.pquncontrolled | process | en_US |
| dc.subject.pquncontrolled | GIScience | en_US |
| dc.subject.pquncontrolled | geography | en_US |
| dc.subject.pquncontrolled | representation | en_US |
| dc.title | A New Geographic Process Data Model | en_US |
| dc.type | Dissertation | en_US |