large scale spatio-temporal data
Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set
... analysing spatio-temporal data remains a rapidly growing prob- lem in the wake of an ever-increasing number of advanced sensors that are continu- ously generating large-scale ...of ...
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Learning large scale dynamic discrete choice models of spatio temporal preferences with application to migratory pastoralism in East Africa
... Understanding spatio-temporal resource preferences is paramount in the design of policies for sustainable de- ...survey data can accurately model migratory pastoralism in East Africa and that it ...
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McMaster Mesonet soil moisture dataset: description and spatio temporal variability analysis
... the scale of hy- drological observations as being characterized by a scal- ing triplet consisting of extent, spacing and ...(temporal) scale of hydrolog- ical processes into spatial extent ...
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Modeling 25 years of spatio temporal surface water and inundation dynamics on large river basin scale using time series of Earth observation data
... The MDB contains numerous small and ephemeral rivers and other water bodies that are not connected to major river systems. As opposed to floodplains, we expected the SWE of these water bodies to be mainly driven by local ...
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Flood initiating catchment conditions: a spatio temporal analysis of large scale soil moisture patterns in the Elbe River basin
... For the estimation of the hydrological catchment con- ditions concerning soil moisture, ground-based soil mois- ture measurements (e.g. time domain reflectometry, fre- quency domain reflectometry, gravimetric), remotely ...
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Interactive tag maps and tag clouds for the multiscale exploration of large spatio-temporal datasets
... constrained by time (e.g. occurrences over the previous month). In the case of tag maps, prominence is necessarily constrained by space – i.e. the number of times a tag or word is used within a localised area – in the ...
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The large-scale spatio-temporal variability of precipitation over Sweden observed from the weather radar network
... the large-scale spatio-temporal variability of precipitation over ...radar data set for studying climatic features of precipitation over ...
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Bias correction and change measurement in spatio temporal data
... Johnson et al. (1998) proposed a method for large scale bias correction using the data collected at the Starkey Experimental Forest in Oregon, USA. The Automated Telemetry System (ATS) at the Starkey ...
183
Point process models for spatio temporal distance sampling data from a large scale survey of blue whales
... 3.5. Stochastic PDE models. The general model construction requires no par- ticular assumptions on how the spatial or spatio-temporal random field ξ(s , t) is modelled or treated computationally. The only ...
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Estimating optimal control strategies for large scale spatio-temporal decision problems.
... is large and increases tremendously fast with the size of the system due to the spatial ...The large dimensions lead to expensive computational costs that restrict the ability to use existing ...
134
AIS data to inform small scale fisheries management and marine spatial planning
... AtoNs data [26], together with the AIS system specifications data were uploaded 124 to the CloudRF online system and a Longley Rice Irregular Terrain Model (ITM) [27] was 125 used to predict their ...
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Spatio-temporal Variation of Benthic Metabolism in a Large Regulated River
... in large rivers, where both primary production (Dodds et ...of large rivers has varied between studies, as some systems have been reported as autotrophic (Naiman, 1983), and others heterotrophic (Minshall ...
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A Framework for Analyzing Spectrum Characteristics in Large Spatio-temporal Scales
... the data so that most app specific modules can utilize them in ...in data, and the large variations are actu- ally caused by the variations of signal strength at different time and ...PSD data ...
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Spatio temporal relevance and controls of preferential flow at the landscape scale
... state assumptions are used to calculate flow velocity. To ob- tain the matric potential, the van Genuchten retention curves (van Genuchten, 1980) were parameterized using the param- eter sets of Sprenger et al. (2016) ...
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A framework for using self-organising maps to analyse spatiotemporal patterns, exemplified by analysis of mobile phone usage
... local temporal variations in a time-in-space ...local temporal variations by diagrams called ’temporal mosaics’ ...A temporal mosaic portrays the attribute values attained in one place in all ...
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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 ...detect spatio-temporal ...
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Hierarchical Gradient Similarity Based Video Quality Assessment Metric
... the spatio-temporal gradient vector also contains the components of the spatial version, the similarity of the spatio-temporal gradient vector is used to model the dorsal ...the ...
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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] ...
160
Thermal spatio-temporal data for stress recognition
... the temporal dynamics of facial muscle ...of temporal data - local binary patterns on three orthogonal planes (LBP-TOP) - has gained attention and is suitable for the work in this ...
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Traffic occurrence detection using spatio temporal data mining
... traffic data based on the mile post ...traffic data is analyzed and ...traffic data, mahalanobis distance is used to identify the potential events hapenning according to the traffic ...the ...
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