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EFFECT OF SPATIAL PATTERNS ON SAMPLING DESIGN PERFORMANCE IN A VEGETATION MAP ACCURACY ASSESSMENT
by
Benito Mark Lo
A Thesis Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements of the Degree MASTER OF SCIENCE (GEOGRAPHIC INFORMATION SCIENCE AND TECHNOLOGY)
April 2014
Copyright 2014 Benito Mark Lo
Object Description
| Title | Effect of spatial patterns on sampling design performance in a vegetation map accuracy assessment |
| Author | Lo, Benito Mark |
| Author email | benitomlo@gmail.com;benitomlo@gmail.com |
| Degree | Master of Science |
| Document type | Thesis |
| Degree program | Geographic Information Science and Technology |
| School | College of Letters, Arts and Sciences |
| Date defended/completed | 4/26/2014 |
| Date submitted | 8/26/2014 |
| Date approved | 8/26/2014 |
| Restricted until | 8/26/2014 |
| Date published | 8/26/2014 |
| Advisor (committee chair) | Longcore, Travis R. |
| Advisor (committee member) |
Lee, Su Jin Kemp, Karen K. |
| Abstract | Vegetation classification maps can be important tools for academic research, environmental mitigation and restoration, and governmental decision‐making. Continued development in satellite and photographic technology has resulted in an increase in production of remotely‐sensed vegetation classification maps. As vegetation classification maps become easier and more efficient to make, there will also be increasing importance in evaluating the accuracy of these maps. Traditional sampling strategies for vegetation classification map accuracy assessments were developed using aspatial statistical theory. The performance of these sampling strategies may be affected by spatial patterns in the vegetation classification map in ways that are unpredictable. In this study, I simulated accuracy assessments using Esri’s ArcGIS software. The goal of this study was to understand how different spatial patterns of map error affect the performance of two common sampling strategies during an accuracy assessment. |
| Keyword | vegetation; map accuracy assessment; landscape ecology; coefficient of variation; ArcGIS; Simple Random Sample; Clustered Random Sample; spatial autocorrelation; sample size; sampling strategy; classification map |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m |
| Contributing entity | University of Southern California |
| Rights | Lo, Benito Mark |
| Physical access | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
| Repository name | University of Southern California Digital Library |
| Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
| Repository email | cisadmin@lib.usc.edu |
| Filename | etd-LoBenitoMa-2849.pdf |
| Archival file | uscthesesreloadpub_Volume3/etd-LoBenitoMa-2849.pdf |
Description
| Title | Page 1 |
| Repository email | cisadmin@lib.usc.edu |
| Full text | EFFECT OF SPATIAL PATTERNS ON SAMPLING DESIGN PERFORMANCE IN A VEGETATION MAP ACCURACY ASSESSMENT by Benito Mark Lo A Thesis Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements of the Degree MASTER OF SCIENCE (GEOGRAPHIC INFORMATION SCIENCE AND TECHNOLOGY) April 2014 Copyright 2014 Benito Mark Lo |
