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  • 标题:VARIOUS EVENTS INVOLVED IN SPATIO-TEMPORAL DATABASES
  • 本地全文:下载
  • 作者:Hong Shu
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2000
  • 卷号:XXXIII Part B4 (/1-3)
  • 页码:971-970
  • 出版社:Copernicus Publications
  • 摘要:In general, time has two kinds of semantic, i.e., time-scale semantic and event-sequence semantic (Shu Hong, 1998). Inspatio-temporal databases (STDB), time-scale semantic refers to the time positioning of geographical objects, andevent-sequence semantic to spatial and thematic change description. Here event and change are alternatively termedwithout further meaning distinction. Almost a decade’s STDB research has been conducted, but few results have beenbrought into practice (Timos Sellis, 1999). This somewhat indicates that a gap exists between our theoretical researchand users’ application requirements. In bridging this gap, spatio-temporal semantic modeling plays an important role,not only because semantics are derived from our understanding of practical problems, but also because they make senseour theoretical research. The objective of this paper is to explore primary events involved in spatio-temporal databasesfor various spatio-temporal phenomena modeling quantitatively or qualitatively. The paper is constrained to explorationof spatial events for the time being. Spatial changes are identified at three levels (scene change, object change andproperty change). At the level of property change, a set of primary spatial property changes (location change, distancechange, direction change, size change, shape change), together with geometrical dimensionality changes (point change,line change, area change), are proposed. At the level of object change, in terms of mapping relationships betweensource objects and result objects, six kinds of object change are given. At the level of scene change, several primaryscene changes and distribution type change are addressed. Various advanced spatial changes will surely enrich spatiotemporalsemantic modeling in spatio-temporal databases.
  • 关键词:Database; Semantics; Spatio-temporal
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