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GEOSPATIAL QUERY PROCESSING IN SURFACE AND HYBRID SPACES
by
Songhua Xing
A Dissertation Presented to the
FACULTY OF THE USC GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
DOCTOR OF PHILOSOPHY
(COMPUTER SCIENCE)
May 2012
Copyright 2012 Songhua Xing
Object Description
| Title | Geospatial query processing in surface and hybrid spaces |
| Author | Xing, Songhua |
| Author email | sxing@usc.edu;xsonghua@gmail.com |
| Degree | Doctor of Philosophy |
| Document type | Dissertation |
| Degree program | Computer Science |
| School | Viterbi School of Engineering |
| Date defended/completed | 2011-11-30 |
| Date submitted | 2012-02-07 |
| Date approved | 2012-02-07 |
| Restricted until | 2012-02-07 |
| Date published | 2012-02-07 |
| Advisor (committee chair) | Shahabi, Cyrus |
| Advisor (committee member) |
Nakano, Aiichiro Liu, Yan Becerik-Gerber, Burcin |
| Abstract | The growing popularity of online Earth visualization tools and geo-realistic games and the availability of high resolution terrain data have motivated a new class of queries: spatial queries over the land surface, which extends the traditional spatial queries to a constrained third dimension. The fundamental technical challenge that prevents the realization of these applications is in fact in the area of data management. In particular, real-world large geospatial datasets residing on disk drives need to be queried and accessed as if they are synthetically rendered data in memory. Unfortunately, the majority of current disk-based data structures are designed to expedite the rendering of this geo-realistic data (e.g., Google Earth) rather than its querying and access. In this thesis, I mainly discuss a series of efficient index structures on a subset of this data set. These data structures are critical to expedite several important classes of spatial queries in the geospatial databases: the snapshot and continuous k Nearest Neighbor (kNN) queries on terrain surface, and the scalable browsing of the shortest surface paths (i.e., the path query). In addition, for the first time, the spatial queries have been extended to the more realistic hybrid environment, which overlays the real world road networks on top of the terrain models. Since finding the shortest hybrid path is new and more challenging, disk efficient data structures and algorithms have been proposed to minimize the I/O cost as well as to be seamlessly integrated to our surface index framework. In this thesis, all the discussed methods have been experimentally verified against large scale real world and synthetic datasets. |
| Keyword | hybrid space; query processing; spatial index; surface |
| 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 | Xing, Songhua |
| 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 |
| Archival file | uscthesesreloadpub_Volume6/etd-XingSonghu-471.pdf |
Description
| Title | Page 1 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | GEOSPATIAL QUERY PROCESSING IN SURFACE AND HYBRID SPACES by Songhua Xing A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (COMPUTER SCIENCE) May 2012 Copyright 2012 Songhua Xing |
