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...

Full description

Bibliographic Details
Main Author: Kesavan, Sunitha
Other Authors: Sawyer, Dale S.
Format: Thesis
Language:English
Published: 2002
Subjects:
Online Access:https://hdl.handle.net/1911/17516
id ftriceuniv:oai:scholarship.rice.edu:1911/17516
record_format openpolar
spelling 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
institution Open Polar
collection Rice University: Digital Scholarship Archive
op_collection_id 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