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Dissertation/Thesis Abstract

Calculating Representativeness of Geographic Sites Across the World
by Ganesan, Ashwinkumar, M.S., University of Maryland, Baltimore County, 2012, 76; 1532597
Abstract (Summary)

GLOBE is a global correlation engine, a project to study the effects on Land Change based on a set of parameters that include temperature, forest cover, human population, atmospheric parameters and many other variables. The aim of this research is to understand, how a study or a set of studies of specific geographic areas is representative of other areas of the world. The generic form of the question is, given a set of data points with a set of variables, how to determine how much a selected subset of points represents the rest of the distribution.

The research aims to answer a set of questions which include the definition of representativeness of a geographical site and how the representativeness can be computed. Researchers studying land change will dynamically select a subset of variables which they would like to study. Hence the method developed not only computes representativeness, but does so in an efficient manner. For this purpose, we apply dimension reduction techniques to reduce the size of computation and analyze the effectiveness of using these techniques to calculate representativeness.

Indexing (document details)
Advisor: Oates, Tim
Commitee: Finin, Tim, Schmill, Matt
School: University of Maryland, Baltimore County
Department: Computer Science
School Location: United States -- Maryland
Source: MAI 51/04M(E), Masters Abstracts International
Subjects: Geography, Geographic information science, Computer science
Keywords: Globe, Principal component analysis, Representativeness
Publication Number: 1532597
ISBN: 978-1-267-88403-9
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