Object-Oriented Representation of Environmental Phenomena
Is Everything Best Represented as an Object
Bibliographic Data
| ID | 8375811 |
|---|---|
| Authors | Ling Bian (University at Buffalo, State University of New York, corresponding author) |
| Year | 2007 |
| Volume | 97 |
| Issue | 2 |
| Pages | 267-281 |
| Publication date | 2007-06-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Annals of the Association of American Geographers (JOURNAL) |
| Journal identifiers | ISSN: 0004-5608 • E-ISSN: 1467-8306 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1111/j.1467-8306.2007.00535.x |
| OpenAlex | W2011551037 |
| Language | EN |
| Citations received | 9 |
| References cited | 45 |
A geographic space must be partitioned into a finite number of discrete pieces, such as points, lines, polygons, and grid cells, to accommodate the finite computing environment. Because these discrete geometric primitives can be implemented as software objects, the object-oriented computing paradigm might have encouraged the tendency to “objectify” spatial phenomena, regardless of whether they are best represented as objects. A critical review is necessary to assess whether object-orientation, a concept first developed outside geography, is suitable for spatial representation. This article reviews object-oriented spatial representation in the context of environmental modeling. The review is organized into four topics: (1) the principles underlying object-orientation, (2) the categorization of environmental phenomena, (3) GIS data models and their object-oriented implementation, and (4) the compatibility between these three sets of concepts. The discussion argues that spatial objects, regions, and fields represent three categories of phenomena that are well represented, reasonably represented, and not well represented by the objects, respectively
Cartography · Categorization · Geographic information system · Geography · Geometry · Grid · Object (grammar) · Object model · Object-based spatial database · Object-orientation · Object-oriented programming · Programming language · Representation (politics) · Spatial analysis · Spatial database · Artificial Intelligence · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Land Use and Ecosystem Services · Mathematics · Theoretical Computer Science
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On the Internal Structure of Perceptual and Semantic Categories11this Research Was Supported in Part by a Grant to the Author (Under Her Former Name, Eleanor Rosch Heider) From the Foundations Fund for Research in Psychiatry # G67-392, in Part by Funds Made Available to the Child Study Center of Brown University From the Grant Foundation and From the National Institute of Neurological Diseases and Blindness, National Collaborative Project (Ph-43-68-13), and in Part by Research Funds Made Available by the University of California at Berkeley (220 Grant #K9pf-429). I Wish to Thank Karl G. Heider for His Help in the Field in West Irian (Indonesian New Guinea), Dr. Robert Olton for Assistance in Carrying Out Experiment 3, and Keith Burton, Randy Street, and Peter Lewitt Who Assisted With Experiment 4. Experiment 4 Was Performed With Dr. Richard Millward While the Author Was a Research Associate at Brown University.
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| Unique citing works | 9 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2008 - 2020 (13) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 9 |