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Spatio-Temporal Data Model and Spatio-Temporal Databases
2010Spatio-temporal database can deal with the objects’ temporal and spatial properties uniformly, and it can manage data that is evolving with time, i.e., the information of spatial objects whose shape and position evolve with time. In spatio-temporal database, spatial data has one more time dimension, which increases the complexity of data management. In
Xiaoping Ye, Zewu Peng, Huan Guo
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A Survey of Spatio-Temporal Data Warehousing
International Journal of Data Warehousing and Mining, 2009Geographic Information Systems (GIS) have been extensively used in various application domains, ranging from economical, ecological and demographic analysis, to city and route planning. Nowadays, organizations need sophisticated GIS-based Decision Support System (DSS) to analyze their data with respect to geographic information, represented not only as
Leticia I. Gómez +3 more
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2013
Observations refer to properties or qualities at particular locations in space and moments in time. In many cases, locations and/or times are not taken into account explicitly, because they are not relevant. In other cases, they are. Most of this book addresses the case where spatial location matters, and temporal variation is not present or ignored ...
Roger S. Bivand +2 more
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Observations refer to properties or qualities at particular locations in space and moments in time. In many cases, locations and/or times are not taken into account explicitly, because they are not relevant. In other cases, they are. Most of this book addresses the case where spatial location matters, and temporal variation is not present or ignored ...
Roger S. Bivand +2 more
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SQL extension for spatio-temporal data
The VLDB Journal, 2006An SQL extension is formalized for the management of spatio-temporal data, i.e. of spatial data that evolves with respect to time. The extension is dedicated to applications such as topography, cartography, and cadastral systems, hence it considers discrete changes both in space and in time.
José Ramon Rios Viqueira +1 more
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Spatio-temporal Aggregations in Trajectory Data Warehouses [PDF]
, 2007 In this paper we investigate some issues related to the design of a simple Data Warehouse (DW), storing several aggregate measures about trajectories of moving objects. First we discuss the loading phase of our DW which has to deal with overwhelming streams of trajectory observations, possibly produced at different rates, and arriving in an ...
ORLANDO, Salvatore +4 more
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Movement Patterns in Spatio-Temporal Data
2008DEFINITION Spatio-temporal data is any information relating space and time. This entry specifically considers data involving point objects moving over time. The terms entity and trajectory will refer to such a point object and the representation of its movement, respectively.
Gudmundsson, Joachim +2 more
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Spatial and Spatio-temporal Data Mining
2010 IEEE International Conference on Data Mining, 2010The recent advances and price reduction of technologies for collecting spatial and spatio-temporal data like Satellite Images, Cellular Phones, Sensor Networks, and GPS devices has facilitated the collection of data referenced in space and time. These huge collections of data often hide interesting information which conventional systems and classical ...
Vania Bogorny, Shashi Shekhar 0001
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Estimating the potential for based on spatio-temporal spatio-temporal data
2023This communication presents a methodology estimating the potential for regrouping solo drivers during their daily travels, based on spatiotemporal data from Household Travel Surveys. In a first step, the goal is to group individuals, based on their precise spatiotemporal trajectories and thus to obtain a first theoretical potential regrouping. Then, in
Garcin, Louisette +4 more
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Modelling spatio-temporal environmental data
Environmental Modelling & Software, 2003Abstract A conceptual model for environmental data is presented with special emphasis on the ability to store spatio-temporal references of the data. Other aspects of the model are the ability to handle hierarchical data and semantics of the measurements.
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Spatio-Temporal Modeling for fMRI Data
2016Functional magnetic resonance imaging (fMRI) uses fast MRI techniques to enable studies of dynamic physiological processes at a time scale of seconds. This can be used for spatially localizing dynamic processes in the brain, such as neuronal activity. However, to achieve this we need to be able to infer on models of four-dimensional data. Predominantly,
Truong, YK, Shen, H, Chen, W
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