Cognition-Based Extraction and Modelling of Topographic Eminences
Bibliographic Data
| ID | 14701990 |
|---|---|
| Authors | Gaurav Sinha (0000-0002-1280-6269, Ohio University, corresponding author), David Mark (0000-0002-0647-9046, National Geographic Society), David M Mark (Department of Geography / Director, National Center for Geographic Information and Analysis (NCGIA) / University at Buffalo / NY / USA) |
| Year | 2010 |
| Volume | 45 |
| Issue | 2 |
| Pages | 105-112 |
| Publication date | 2010-06-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Journal identifiers | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/carto.45.2.105 |
| OpenAlex | W2170761143 |
| Language | EN |
| Citations received | 2 |
| References cited | 28 |
Terrain is generally stored in GIS as an elevation field, whereas human cognition of the landscape is usually object based. To address this mismatch of terrain data models, we propose object-based terrain representation, using topographic eminences, which are landforms that rise up conspicuously from the ground to visibly dominate the landscape, to illustrate our case. We propose a cognition-based methodology for automated detection and delineation of eminences from digital elevation models (DEMs). Alternative conceptualizations of the landscape can be realized by simple manipulation of intuitive parameters such as a peak's relative height and distance. Our approach delimits the extent of eminences based purely on topographic gradient and aspect, much like the delineation of ridges as watershed boundaries. Smaller eminences can be incrementally aggregated into larger cognitive wholes, enabling scale-sensitive landscape reconstruction. The ability to integrate field and object views of the landscape is essential for raster–vector data-layer integration; therefore, we also discuss some database-modelling and ontology-development strategies to manage the extracted landforms within a GIS
Cartography · Digital elevation model · Elevation (ballistics · Field (mathematics · Geography · Landform · Object (grammar · Raster graphics · Remote sensing · Representation (politics · Scale (ratio · Terrain · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Mathematics · Species Distribution and Climate Change · Artificial Intelligence
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,15 |
| Citation span | 2013 - 2018 (6) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |