東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A Temporal Approach to Defining Plac...

McKenzie, Grant Donald.

Linked to FindBook

Google Book

Amazon

博客來

A Temporal Approach to Defining Place Types based on User-Contributed Geosocial Content.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Temporal Approach to Defining Place Types based on User-Contributed Geosocial Content./
Author:	McKenzie, Grant Donald.
Description:	247 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.
Contained By:	Dissertation Abstracts International76-09B(E).
Subject:	Geographic information science and geodesy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3689956
ISBN:	9781321696509

A Temporal Approach to Defining Place Types based on User-Contributed Geosocial Content.
McKenzie, Grant Donald.

A Temporal Approach to Defining Place Types based on User-Contributed Geosocial Content. - 247 p.

Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.

Thesis (Ph.D.)--University of California, Santa Barbara, 2015.

Place is one of the foundational concepts on which the field of Geography has been built. Traditionally, GIScience research into place has been approached from a spatial perspective. While space is an integral feature of place, it represents only a single dimension (or a combination of three dimensions to be exact), in the complex, multidimensional concept that is place. Though existing research has shown that both spatial and thematic dimensions are valuable, time has historically been under-utilized in its ability to describe and define places and their types. The recent availability and access to user-generated geosocial content has allowed for a much deeper investigation of the temporal dimension of place. Multi-resolution temporal signatures are constructed based on these data permitting both place instances and place types to be compared through a robust set of (dis)similarity measures. The primary contribution of this work lies in demonstrating how places are defined through a better understanding of temporal user behavior. Furthermore, the results of this research present the argument that the temporal dimension is the most indicative placial dimension for classifying places by type.

ISBN: 9781321696509Subjects--Topical Terms:

2122917
Geographic information science and geodesy.

A Temporal Approach to Defining Place Types based on User-Contributed Geosocial Content.
LDR:02152nmm a2200289 4500 001 2064900
005 20151123150623.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781321696509
035 $a (MiAaPQ)AAI3689956
035 $a AAI3689956
040 $a MiAaPQ $c MiAaPQ
100 1 $a McKenzie, Grant Donald. $3 3179545
245 1 2 $a A Temporal Approach to Defining Place Types based on User-Contributed Geosocial Content.
300 $a 247 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-09(E), Section: B.
500 $a Advisers: Krzysztof Janowicz; Martin Raubal.
502 $a Thesis (Ph.D.)--University of California, Santa Barbara, 2015.
520 $a Place is one of the foundational concepts on which the field of Geography has been built. Traditionally, GIScience research into place has been approached from a spatial perspective. While space is an integral feature of place, it represents only a single dimension (or a combination of three dimensions to be exact), in the complex, multidimensional concept that is place. Though existing research has shown that both spatial and thematic dimensions are valuable, time has historically been under-utilized in its ability to describe and define places and their types. The recent availability and access to user-generated geosocial content has allowed for a much deeper investigation of the temporal dimension of place. Multi-resolution temporal signatures are constructed based on these data permitting both place instances and place types to be compared through a robust set of (dis)similarity measures. The primary contribution of this work lies in demonstrating how places are defined through a better understanding of temporal user behavior. Furthermore, the results of this research present the argument that the temporal dimension is the most indicative placial dimension for classifying places by type.
590 $a School code: 0035.
650 4 $a Geographic information science and geodesy. $3 2122917
650 4 $a Geography. $3 524010
650 4 $a Information science. $3 554358
690 $a 0370
690 $a 0366
690 $a 0723
710 2 $a University of California, Santa Barbara. $b Geography. $3 1025686
773 0 $t Dissertation Abstracts International $g 76-09B(E).
790 $a 0035
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3689956