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Data Analytics and Spatial-Temporal Analysis

Social care service provision using spatial temporal data analytics

Social care service provision using spatial temporal data analytics

... 3.3 Analysis derived from Spatial Analysis This research used start and end dates of service agreements and the full post- codes for spatial-temporal analysis, which could be ...

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Spatial and temporal epidemiological analysis in the Big Data era

Spatial and temporal epidemiological analysis in the Big Data era

... Big data; internet of things; data science; visualization; exploratory analysis; modelling, 40.. spatial analysis 41.[r] ...

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Spatial Data Analytics of Mobility with Consumer Data

Spatial Data Analytics of Mobility with Consumer Data

... consumer data may be classed as ‘ big data ’ is worthy of further ...consumer data is often characterised by volume, velocity and ...of data generated from mobile telephone logs have already ...

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Spatial Data Analytics of Mobility with Consumer Data

Spatial Data Analytics of Mobility with Consumer Data

... consumer data can add significant breadth is in relation to active ...captures data about journey patterns, inferences about mode preference are limited to the capture of a single question relating to trip ...

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Temporal-spatial modeling for fMRI data

Temporal-spatial modeling for fMRI data

... the analysis, including trend removal and correlation structure ...of spatial smoothing to the estimates is applied to consider the spatial ...original data compared with most parametric ...

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Analysis of Binary Data via Spatial-Temporal Autologistic Regression Models

Analysis of Binary Data via Spatial-Temporal Autologistic Regression Models

... The analysis shows that statistical inference is not sensitive to the shape of the ...lattice. Spatial-temporal missing data are MAR cases required to impute missing values to count for ...

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Temporal-spatial Analysis of Contributors’ Mapping Behavior for Building Data in OpenStreetMap

Temporal-spatial Analysis of Contributors’ Mapping Behavior for Building Data in OpenStreetMap

... and data contributors. In this paper, temporal-spatial analysis is applied in seeking the temporal and spatial patterns of the number of buildings and contributors in Beijing, ...

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Spatial and temporal analysis of sunspot oscillations

Spatial and temporal analysis of sunspot oscillations

... wavelet analysis, coupled with significance testing allowed the detection of two long period spectral peaks for each sunspot under study, with periods in the range P ≈ 16-88 ...wavelet analysis confirmed ...

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Overview of Spatial Big Data and Analytics (9:10-9:55am) Applications and Examples of Spatial Big Data and Analytics

Overview of Spatial Big Data and Analytics (9:10-9:55am) Applications and Examples of Spatial Big Data and Analytics

... locational analytics can be combined with numerical analytics to produce a mixed ...standard spatial models can estimate the extent of agglomeration of sprinklers across a downtown ...case, ...

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Contributions to Spatial Statistics and Big Data Analytics.

Contributions to Spatial Statistics and Big Data Analytics.

... as temporal prediction because, as men- tioned by Cressie (1993), “spatial prediction is just as important as temporal prediction, because people living those cities and rural districts without ...

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Time- and Space-Efficient Spatial Data Analytics

Time- and Space-Efficient Spatial Data Analytics

... the data management challenges encountered with the increasing point cloud data size, have already been addressed in DBMS ...cloud data management in the form of extensions and specific data ...

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6 Steps to Data Blending for Spatial Analytics

6 Steps to Data Blending for Spatial Analytics

... Blending spatial data with traditional data delivers location intelligence that can be used to: • Customize location services or inventory based on your key customers’ habits — Understand nearby ...

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Spatial Big Data Analytics for Urban Informatics

Spatial Big Data Analytics for Urban Informatics

... fine temporal resolutions (seconds or minutes). This data is applied to a profile model, and patterns in the road speeds are identified throughout the ...have data for every five minutes, which can ...

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Spatial Big Data: Platforms, Analytics, and Science

Spatial Big Data: Platforms, Analytics, and Science

... big data can be used to detect unreported side effects of combination of ...big data the opportunity of combining data-mining techniques with millions/billions of users’ queries from web search ...

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Comparison of spatial-temporal analysis modelling with purely spatial analysis modelling using temperature data obtained by remote sensing

Comparison of spatial-temporal analysis modelling with purely spatial analysis modelling using temperature data obtained by remote sensing

... understanding spatial variations in temperature is essential for many ...spatiotemporal analysis model with that of purely spatial analysis using temperature data obtained by remote ...

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Temporal - spatial recognizer for multi-label data

Temporal - spatial recognizer for multi-label data

... xiv Figure 3.10. Single node features extraction in level-1 HTM.................................... 95 Figure 3.11. Markov graph for the portion pattern of figure 3.10. The vertices are shown as circles, the patterns ...

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Analysing of temporal and spatial data in life insurance

Analysing of temporal and spatial data in life insurance

... Tabela 22: Najbolje ocenjeni atributi števila ekstremnih nezgod pri regresijskem problemu. Ti atributi niso prišli v poštev pri določanju najpomembnejših atributov[r] ...

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Spatial images from temporal data: supplement

Spatial images from temporal data: supplement

... a temporal histogram can be used to obtain a 3D image from the ...transverse spatial resolution of 90 cm at 2 m ...new data combining the impulse RADAR with the (optical) ToF camera and re-trained ...

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SpatialEpiApp:A Shiny Web Application for the Analysis of Spatial and Spatio Temporal Disease Data

SpatialEpiApp:A Shiny Web Application for the Analysis of Spatial and Spatio Temporal Disease Data

... In spatial epidemiology, availabe data can be point data containing the locations at which cases of disease occur, or areal data that arise when point data are aggregated over disjoint ...

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Models and methods for computationally efficient analysis of large spatial and spatio-temporal data

Models and methods for computationally efficient analysis of large spatial and spatio-temporal data

... On the other hand, one of the most popular spatial interaction models for lattice data - data that has been aggregated over fixed areas - is the conditional autoregressive model (CAR) [r] ...

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