DocumentCode :
3444842
Title :
On the impact of granularity of time to linear topological relations between geographical events and their formalization
Author :
Kai Liu ; Yi Long ; Huimin Yang ; Yaochen Qin
Author_Institution :
Key Lab. of Geospatial Technol. for Middleand Lower Yellow River Regions, Henan Univ., Kaifeng, China
fYear :
2013
fDate :
20-22 June 2013
Firstpage :
1
Lastpage :
7
Abstract :
The time scale is an important element of spatial-temporal data model thatdetermines the level of detail to characterize and describe the geographic information. In spatial-temporal databases, time granularity has a decisive impact on the topological spatial-temporal relationship of geographical objects. In this paper, at first a formal definition of basic elements of time has been put forward. Then based on set theory, the number axes can be divided into three parts according to the number of time of geographical event. Based on the intersection of the sets of two-time elements a formal description of the 9 intersection model of the linear time topological relationships between geographical events has been established. On this basis, the impacts of time granularity to topological relationships of linear time between geographic events also has been discussed with a case study.
Keywords :
data models; geographic information systems; set theory; spatiotemporal phenomena; formal description; geographic information characterization; geographical events; geographical objects; intersection model; linear time topological relationships; set theory; spatial-temporal data model; spatial-temporal database; spatial-temporal relationship; time granularity impacts; Algebra; Data models; Educational institutions; Geographic information systems; Semantics; Time measurement; US Department of Transportation; geographical event; granularityof time; scale transformation; temporal relations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
ISSN :
2161-024X
Type :
conf
DOI :
10.1109/Geoinformatics.2013.6626056
Filename :
6626056
Link To Document :
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