Automatic characterization of the spatial statistics of topography using geostatistical methods
An automatic geostatistical method of analyzing spatial characteristics of topography is presented. Anisotropy in spatial continuity is modeled by estimating the range of the directional semivariograms. Spatial characteristics of topography are defined by orientation of the semi-major axis, length o...
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ftriceuniv:oai:scholarship.rice.edu:1911/17516 2023-05-15T13:44:56+02:00 Automatic characterization of the spatial statistics of topography using geostatistical methods Kesavan, Sunitha Sawyer, Dale S. 2002 220 p. application/pdf https://hdl.handle.net/1911/17516 eng eng Kesavan, Sunitha. "Automatic characterization of the spatial statistics of topography using geostatistical methods." (2002) Master’s Thesis, Rice University. https://hdl.handle.net/1911/17516 . https://hdl.handle.net/1911/17516 THESIS GEOL. 2002 KESAVAN Geology Geophysics Thesis Text 2002 ftriceuniv 2022-08-09T20:34:27Z An automatic geostatistical method of analyzing spatial characteristics of topography is presented. Anisotropy in spatial continuity is modeled by estimating the range of the directional semivariograms. Spatial characteristics of topography are defined by orientation of the semi-major axis, length of the semi-major axis and length of the semi-minor axis of the anisotropy model ellipse. Orientation of the ellipse gives the average orientation of the linear features. Aspect ratio of the ellipse estimates the degree of lineation of features. Area of the ellipse determines the roughness of the topography. The automatic geostatistical topography characterization method was applied to land topography from Western US and sea-floor topography from the Ross sea, Antarctica. The method was able to characterize the spatial patterns of topography from Western US. The method was used to separate highly lineated regions on the Antarctic sea floor from areas with less prominent or no lineations. Thesis Antarc* Antarctic Antarctica Ross Sea Rice University: Digital Scholarship Archive Antarctic Ross Sea The Antarctic |
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Open Polar |
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Rice University: Digital Scholarship Archive |
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ftriceuniv |
language |
English |
topic |
Geology Geophysics |
spellingShingle |
Geology Geophysics Kesavan, Sunitha Automatic characterization of the spatial statistics of topography using geostatistical methods |
topic_facet |
Geology Geophysics |
description |
An automatic geostatistical method of analyzing spatial characteristics of topography is presented. Anisotropy in spatial continuity is modeled by estimating the range of the directional semivariograms. Spatial characteristics of topography are defined by orientation of the semi-major axis, length of the semi-major axis and length of the semi-minor axis of the anisotropy model ellipse. Orientation of the ellipse gives the average orientation of the linear features. Aspect ratio of the ellipse estimates the degree of lineation of features. Area of the ellipse determines the roughness of the topography. The automatic geostatistical topography characterization method was applied to land topography from Western US and sea-floor topography from the Ross sea, Antarctica. The method was able to characterize the spatial patterns of topography from Western US. The method was used to separate highly lineated regions on the Antarctic sea floor from areas with less prominent or no lineations. |
author2 |
Sawyer, Dale S. |
format |
Thesis |
author |
Kesavan, Sunitha |
author_facet |
Kesavan, Sunitha |
author_sort |
Kesavan, Sunitha |
title |
Automatic characterization of the spatial statistics of topography using geostatistical methods |
title_short |
Automatic characterization of the spatial statistics of topography using geostatistical methods |
title_full |
Automatic characterization of the spatial statistics of topography using geostatistical methods |
title_fullStr |
Automatic characterization of the spatial statistics of topography using geostatistical methods |
title_full_unstemmed |
Automatic characterization of the spatial statistics of topography using geostatistical methods |
title_sort |
automatic characterization of the spatial statistics of topography using geostatistical methods |
publishDate |
2002 |
url |
https://hdl.handle.net/1911/17516 |
geographic |
Antarctic Ross Sea The Antarctic |
geographic_facet |
Antarctic Ross Sea The Antarctic |
genre |
Antarc* Antarctic Antarctica Ross Sea |
genre_facet |
Antarc* Antarctic Antarctica Ross Sea |
op_relation |
Kesavan, Sunitha. "Automatic characterization of the spatial statistics of topography using geostatistical methods." (2002) Master’s Thesis, Rice University. https://hdl.handle.net/1911/17516 . https://hdl.handle.net/1911/17516 THESIS GEOL. 2002 KESAVAN |
_version_ |
1766208731125645312 |