Data Model, F ‐Objects and O ‐Fields
Bibliographic Data
| ID | 23735720 |
|---|---|
| Authors | Thomas J Cova (0000-0002-4136-5140, University of Utah, corresponding author) |
| Year | 2017 |
| Pages | 1-5 |
| Publication date | 2017-03-06 |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | International Encyclopedia of Geography (SOURCE_BOOK) |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9781118786352.wbieg0481 |
| OpenAlex | W3084687534 |
| ISBN | 9781118786352 |
| Language | EN |
| References cited | 6 |
Data models describe how reality is to be represented in a database. Geographic data models are data models that incorporate an explicit representation of geographic phenomena. Two conceptual perspectives used in geographic data modeling involve viewing geographic reality as comprising continuous fields or discrete geographic objects, otherwise known as the field/object dichotomy. While this dichotomy has been valuable in advancing geographic information research and pedagogy, the quest for hybrid views has intrigued researchers for decades. Two example hybrids are objects with internal field variation (field‐objects or F‐objects) and fields where every location is mapped to one or more spatial objects (object‐fields or O‐fields). This entry reviews geographic data modeling, the field/object dichotomy, proposed hybrids, hybrids in the context of geographic dynamics, and areas for further research.
Cartography · Context (archaeology) · Data model (GIS) · Field (mathematics) · Geographic information system · Geography · Object (grammar) · Representation (politics) · Artificial Intelligence · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Mathematics · Semantic Web and Ontologies
| Highly cited | No |
|---|