Spatio-temporal data analysis
SPATIO-TEMPORAL DATA ANALYSIS WITH NON-LINEAR FILTERS: BRAIN MAPPING WITH fMRI DATA
... To calculate functional maps, a segmentation of activated from non-activated areas is performed on the basis of the time course of signal intensity, applying various statistical methods. Commonly, split t-test, ...
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Human Mobility Mining Using Spatio-Temporal Data
... space-related data is becoming available at any time. Data is collected using multiple sources such as GPS and mobile computer logs, wireless communication devices, location-aware services and other ...
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Scientific data mining for spatio temporal hydroacoustic data sets
... While standard data processing and analysis methods were established for data collected using single beam sonar, no such methods were available for multibeam sonar data.. In 2002, the re[r] ...
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OSHDB: a framework for spatio-temporal analysis of OpenStreetMap history data
... Depending on the used view, a different stream of data is provided. This stream can be used in consequent map-reduce steps for processing the data and finally com- puting the desired result. The snapshot ...
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SpatialEpiApp:A Shiny Web Application for the Analysis of Spatial and Spatio Temporal Disease Data
... the analysis of spatial and spatio-temporal disease ...and spatio- temporal disease data since it enables interactive visualization of maps and time series, and ...
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Weakly supervised activity analysis with spatio-temporal localisation
... detailed spatio-temporal annotation of activities in these videos, mainly due to the laborious nature of such an ...single data unit, i.e. a video, without any information about the ...
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Visual Analysis for Spatio-Temporal Event Correlation in Manufacturing
... observation-based data, they are implicitly endangered of including bias to their predictions ...the temporal aspect of the correlating events, graphs scale not well for interpretation, which is why we ...
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A review of spatio-temporal pattern analysis approaches on crime analysis
... The time series approach compares the pre-intervention trend with post-intervention trend on the specific areas (treatment area, buffer area and control area). The approach could incorporate sensitivity to seasonality ...
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Spatio-Temporal Analysis Of Urbanization In Surat Region
... duration, data in the form of satellite images were acquired from Earth Explorer portal of ...Weather data for the duration of the year 1995 till the year 2015 were obtained from the IMD, Government of ...
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Data and Task Characteristics in Design of Spatio-Temporal Data Visualization Tools
... of spatio-temporal data requires tools that could help find answers to different types of questions that may arise in relation to such ...of data under ...of spatio- temporal ...
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Finding Spatio-Temporal Patterns in Multidimensional Data Streams
... climate data, such that multiple georeferenced climate time series are represented as a multidimensional data stream - each time series defines an attribute of the ...unified analysis process, aiming ...
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Spatio-temporal analysis of the avalanche hazard in the North of Italy
... Since, the number of avalanche events are often related with the levels of new snow, depth snow and temperature we tried to analyze these variables using a spatial interpo- lation, known as ordinary Kriging (Cressie, ...
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High throughput analysis of spatio temporal dynamics in Dictyostelium
... Additional data file 1 for a movie), a characteristic feature of self-organization in excitable systems ...tional data file ...Additional data file ...
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MCH Services in Mysore District: A Spatio Temporal Analysis
... secondary data has been collected from District health ...for data analysis. The analysis reveals that Mysore taluk has high level of MCH services utilization when compared to other taluks ...
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A visual analytics framework for spatio-temporal analysis and modelling
... Among the works where interactive visual techniques support the process of model building, several papers focus on classification models. Xiao et al. (2006) describe a system visualising network events where the user can ...
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Weakly supervised activity analysis with spatio-temporal localisation
... detailed spatio-temporal annotation of activities in these videos, mainly due to the laborious nature of such an ...single data unit, i.e. a video, without any information about the ...
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Multi-scale spatio-temporal analysis of human mobility
... the data or the minimum value considered for the fit of the distribution), to the maximal length of displacement considered (both in ...corresponding data is modelled as a sequence of two distributions of ...
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Finding spatio-temporal patterns in climate data using clustering
... the data might consist of various agro-hydrological and meteorological parameters such as: rainfall, evaporation, air temperature, pressure, relative humidity, sunshine duration, soil temperature, oil palm yield, ...
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Mining Spatio Temporal Data of Fatal Accident
... of spatio-temporal data had experimented on the fatal accident ...in spatio-temporal ...accident data, which has been proven by using Silhouette and Dunn index values close to ...
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Spatio-temporal incremental data modelling for multidimensional environmental analysis
... PCA is a unsupervised method, which is used to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables by an orthogonal transformation (Jolliffe, 1986). ...
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