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Landform modeling of alluvial fans: ...

West, Robert Brown.

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Landform modeling of alluvial fans: A kinematic tool for assessing Quaternary deformation.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Landform modeling of alluvial fans: A kinematic tool for assessing Quaternary deformation./
作者:	West, Robert Brown.
面頁冊數:	266 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-01, Section: B, page: 0129.
Contained By:	Dissertation Abstracts International65-01B.
標題:	Geology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3120385

Landform modeling of alluvial fans: A kinematic tool for assessing Quaternary deformation.
West, Robert Brown.

Landform modeling of alluvial fans: A kinematic tool for assessing Quaternary deformation. - 266 p.

Source: Dissertation Abstracts International, Volume: 65-01, Section: B, page: 0129.

Thesis (Ph.D.)--University of California, Santa Barbara, 2004.

This work presents a model (FANTILT) for analyzing topography of piedmont surfaces. Model application is an iterative process requiring repeated validation and analysis at every step from initial data selection through final interpretation. ElevSubjects--Topical Terms:

516570
Geology.

Landform modeling of alluvial fans: A kinematic tool for assessing Quaternary deformation.
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245 1 0 $a Landform modeling of alluvial fans: A kinematic tool for assessing Quaternary deformation.
300 $a 266 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-01, Section: B, page: 0129.
500 $a Chair: Edward A. Keller.
502 $a Thesis (Ph.D.)--University of California, Santa Barbara, 2004.
520 $a This work presents a model (FANTILT) for analyzing topography of piedmont surfaces. Model application is an iterative process requiring repeated validation and analysis at every step from initial data selection through final interpretation. Elev
520 $a If tilt is evident and model results agree with geologic indicators, then analysis of results by means of grid search and confidence interval calculation are justified. Linear dependence between the regressor variables (multicolinearity) greatly
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