spatiotemporal data
Estimating intratumoral heterogeneity from spatiotemporal data
... The simplest spatial model that can be used to describe the spread of GBM is the reaction-diffusion equation (Equation (1)) [40, 54]. Although this model is clinically relevant [3, 34], it’s major drawback is that it ...
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Fast Leaf-to-Root Holistic Twig Query on XML Spatiotemporal Data
... of data and push data down to stack continually what waste lots of time and ...querying spatiotemporal data in XML is very arduous and it leave lots of interspace for us to ...
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An Approach to Visualization and Clustering-based Analysis on Spatiotemporal Data
... domain-independent spatiotemporal data-mining system that is based on association ...the spatiotemporal cube enables the visualization of the movement of communities in a spatial ...the data ...
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Volumetric spatiotemporal data model
... This paper summarizes the Volumetric Spatiotemporal Data Model which has been developed to manage surface movement in the Virtual Geo- graphical Information Systems (VGIS).. Volumetric i[r] ...
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Efficient Algorithms for Pattern Mining in Spatiotemporal Data
... Finding the trend is most important task in spatiotemporal data. Particularly it is to analyze trajectories movement, animal movements, mating behavior, harvesting, soil quality changes, earthquake ...
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Mining Developing Trends of Dynamic Spatiotemporal Data Streams
... Although the effectiveness of EMM is independent of clustering algorithm selected, the time efficiency of it is determined by clustering, Markov chain, and operations in mining emerging events. Clustering has ...
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The Design of Spatiotemporal Data Transmission System in Digital Watershed With the Integration of ZigBee and GPRS
... operating data information or remote control terminal device and circuit switch, at this time is the use of polling ...prevent data loss, if the command is issued no answer, again the command, if still no ...
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Visualizing and animating large scale spatiotemporal data with ELBAR explorer
... of data enables users and analysts observe interesting patterns that can trigger new research for further investiga- ...Linked Data, facilitating support for making sense of the data via visual ...
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Creating and evaluating web-based visualizations of multi-dimensional spatiotemporal data
... spatio-temporal data has always been a challenging task for the cartographic community and plays an important role in visual analytical and knowledge discovery processes (Bruggmann and Fabrikant ...
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Comparison of Spatiotemporal Fusion Models for Producing High Spatiotemporal Resolution Normalized Difference Vegetation Index Time Series Data Sets
... high spatiotemporal resolution Normalized Difference Vegetation Index (NDVI) time series data ...four spatiotemporal fusion models were analyzed and compared with each ...flexible ...
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A spatiotemporal database prototype for managing volumetric surface management data in virtual GIS
... (VGIS), data model is the ab- straction of the real world phenomena according to a formalized, conceptual scheme, which is usually, implemented using the geographical primitives of points, lines, and polygons or ...
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Tracking the spatial diffusion of influenza and norovirus using telehealth data: A spatiotemporal analysis of syndromic data
... Data were analysed using the SaTScan scan statistic to ana- lyse spatial, temporal or spatiotemporal data [19]. The scan statistic uses circular windows (potential cluster areas) starting as a single ...
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Xia
... a spatiotemporal process that involves gradual and abrupt ...resource spatiotemporal data model is designed based on a spatiotemporal expression method named sequence states which could ...
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The development of spatio-temporal data model for dynamic visualization of virtual geographical information system
... efficient spatiotemporal data model is very important in contributing to the functionality improvement of the ...the data management aspect and has developed a suitable spatiotemporal ...
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Visual exploration of movement and event data with interactive time masks
... time-referenced data tuples the times in which belong to several disjoint time inter- vals satisfying some query conditions (Gadia, ...visual data exploration have been missing so far, although a variety of ...
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An Efficient Algorithm for Conversion of Spatiotemporal Big Data
... vast data are collecting from various sectors like e-banking, Social media, Public and Educational sectors but the climatic sectors has witnessed a steady increase in big data compared to other ...collected ...
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Detection, tracking and event localization of jet stream features in 4-D atmospheric data
... In terms of computational efficiency, our method profits from simplifications made on the basis of the prior knowl- edge about the atmospheric features we want to identify and track. Therefore feature identification, ...
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Spatiotemporal Applications of Big Data
... The data related to transportation has unique characteristics containing features of both spatial and temporal ...This data is useful in the transportation planning ...vector data structure ...
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Mining multiple sources of historical data: The example of a standardized dataset of medieval monasteries and convents in France
... consisting of mining, integrating, supplementing, and representing what is probably the most comprehensive spatiotemporal dataset of medieval religious houses within the boundaries of today’s France, whether ...
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Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping
... For our case study, we use two local ontologies in the form of OWL resources. The fi rst one represents the GNF SymAtlas dataset that lists the available genes, the tissues in which their expression were measured, and the ...
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