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Geovisualization
Geovisualization involves the depiction of spatial data in an attempt to facilitate the interpretation of observational and simulated datasets through which Earth's surface and solid Earth processes may be understood. Numerous techniques can be applied to imagery, digital elevation models, and...
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| Main Authors: | , , , |
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| Format: | Default Article |
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2013
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| Online Access: | https://hdl.handle.net/2134/15391 |
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| _version_ | 1818173305394298880 |
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| author | Mike J. Smith John Hillier Jan-Christoph Otto Martin Geilhausen |
| author_facet | Mike J. Smith John Hillier Jan-Christoph Otto Martin Geilhausen |
| author_sort | Mike J. Smith (7182977) |
| collection | Figshare |
| description | Geovisualization involves the depiction of spatial data in an attempt to facilitate the interpretation of observational and simulated datasets through which Earth's surface and solid Earth processes may be understood. Numerous techniques can be applied to imagery, digital elevation models, and other geographic information system data layers to explore for patterns and depict landscape characteristics. Given the rapid proliferation of remotely sensed data and high-resolution digital elevation models, the focus is on the visualization of satellite imagery and terrain morphology, where manual human interpretation plays a fundamental role in the study of geomorphic processes and the mapping of landforms. A treatment of some techniques is provided that can be used to enhance satellite imagery and the visualization of the topography to improve landform identification as part of geomorphological mapping. Visual interaction with spatial data is an important part of exploring and understanding geomorphological datasets, and a variety of methods exist ranging across simple overlay, panning and zooming, 2.5D, 3D, and temporal analyses. Specific visualization outputs are also covered that focus on static and interactive methods of dissemination. Geomorphological mapping legends and the cartographic principles for map design are discussed, followed by details of dynamic web-based mapping systems that allow for greater immersive use by end users and the effective dissemination of data. |
| format | Default Article |
| id | rr-article-9486647 |
| institution | Loughborough University |
| publishDate | 2013 |
| record_format | Figshare |
| spelling | rr-article-94866472013-01-01T00:00:00Z Geovisualization Mike J. Smith (7182977) John Hillier (1254873) Jan-Christoph Otto (567939) Martin Geilhausen (6700190) Other earth sciences not elsewhere classified untagged Earth Sciences not elsewhere classified Geovisualization involves the depiction of spatial data in an attempt to facilitate the interpretation of observational and simulated datasets through which Earth's surface and solid Earth processes may be understood. Numerous techniques can be applied to imagery, digital elevation models, and other geographic information system data layers to explore for patterns and depict landscape characteristics. Given the rapid proliferation of remotely sensed data and high-resolution digital elevation models, the focus is on the visualization of satellite imagery and terrain morphology, where manual human interpretation plays a fundamental role in the study of geomorphic processes and the mapping of landforms. A treatment of some techniques is provided that can be used to enhance satellite imagery and the visualization of the topography to improve landform identification as part of geomorphological mapping. Visual interaction with spatial data is an important part of exploring and understanding geomorphological datasets, and a variety of methods exist ranging across simple overlay, panning and zooming, 2.5D, 3D, and temporal analyses. Specific visualization outputs are also covered that focus on static and interactive methods of dissemination. Geomorphological mapping legends and the cartographic principles for map design are discussed, followed by details of dynamic web-based mapping systems that allow for greater immersive use by end users and the effective dissemination of data. 2013-01-01T00:00:00Z Text Journal contribution 2134/15391 https://figshare.com/articles/journal_contribution/Geovisualization/9486647 CC BY-NC-ND 4.0 |
| spellingShingle | Other earth sciences not elsewhere classified untagged Earth Sciences not elsewhere classified Mike J. Smith John Hillier Jan-Christoph Otto Martin Geilhausen Geovisualization |
| title | Geovisualization |
| title_full | Geovisualization |
| title_fullStr | Geovisualization |
| title_full_unstemmed | Geovisualization |
| title_short | Geovisualization |
| title_sort | geovisualization |
| topic | Other earth sciences not elsewhere classified untagged Earth Sciences not elsewhere classified |
| url | https://hdl.handle.net/2134/15391 |