event type and state.A new GIS has been developed based on the spatiotemporal data model,and this paper takes spatiotemporal data real-time access,storage and visualization of four dynamic geographic objects(moving object,situ object,video object and process simulation object)as an example and ...
2.5.5 基于事件的时空数据模型 1995 年 Peuquet 和 Duan 从时间角度提出了基于事件的时空数据模型(Event-based Spatio-temporal Data Model,ESTDM)。(如图 2.8 所示) Header t0 Event1 t1 Event1 t2 Event1 tn Component2Componen Component2 Componentk Component2 Componentk Component2 Componentk Component1 ...
andaborderdepictsatemporaIconnectionbetweentwoentities.Thiscanexpressentityandtem- poraIconnectiondirectIy.FinaIIy,thechangeofIandsubdivisionisdepictedwiththedatamodeI. Keywords:GS;Graphtheory;Spatio-temporaIdatamodeI 摘要:首先分析已有时空数据模型的特点,认为难以显式表达时空语义,然后探讨并发展基 于图论的时空...
解压结果如上,双击GeoDetector_2015_Example(NDVI Dataset).xlsm文件打开;WPS启用宏,Office启用编辑→启用内容,随后弹出名称为“GeoDetector”的宏窗口。 【使用】地理探测器Geodetector软件的下载、应用与结果解读;Geo Detector地理探测器应用与实践;地理探测器学习与应用详细教程;R语言数据分析|地理探测器(Geographical detec...
1.Spatio-Temporal Index 利用ST-Index加快过程,根据查询位置找到相应的起始路段。我们的时空索引的主要区别是嵌入了两个级别的时间信息(即一天中的时间和日期),以便更有效地计算概率可达区域。因此,ST-Index由3个组成部分组成:时态index、空间index和时间列表 ...
Spatio-temporal Analytics and Big Data Mining MSc 时空分析与大数据挖掘 主要是学习 GIS 科学、数据库、空间分析、数据挖掘和分析的基础知识,提供分析,建模大型复杂时空数据,大数据分析所需的计算基础和技能,包括使用统计和机器学习方法的可视化、预测、聚类和模拟,以及检索和挖掘大(开放)数据、网络服务和云计算、网络...
databases.Inthispaper,wepresentacomprehensivesurveycoveringaspectsfromfundamentaluserrequirementsforspatiotemporalapplications,spatiotemporalobjectmodeling,objectstoragestructuresandtechniquesformanipulationofspatiotemporalobjectssuchasmultidimensionalindexing,datastructures,queryevaluationstrategiesandarchitecturesforSpatiotemporalData...
spatiotemporal data时空数据 1.This paper attempts to model the spatiotemporal data of the monthly average minimum temperatures at 66 rain gauges in Iowa State, US, from January 1951 to December 2000.气象数据如气温观测值等是典型的时空数据,既具有规则的时序特征,又具有明显的空间性。 2.The base st...
A spatio-temporal data model is a data model representing the temporal evolution of spatial objects over time. These evolutions can be discrete, that is, they happen from time to time (for example, the change of the boundary of a land parcel) or continuous, that is, they happen permanently...
Additionally, to use an original example to illustrate how today's technologies can be used to handle spatio-temporal data and applications, we categorize the current technologies into two groups: (1) traditional, mainstay tools (e.g. SQL ecosystem) and (2) emerging, data-intensive tools (e...