Spatio-temporal data modelling
Spatio-temporal modelling of biomass
... To successfully model the spatial and temporal heterogeneity of catchment processes, topographic, climatic, remotely sensed, modelled growth indices and ground biomass data will be inves[r] ...
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Spatio-temporal modelling of zero-inflated deep-sea shrimp data by Tweedie generalized additive
... to data modelling for the three biological variables and for both species, consists in assuming that the distribution of the response is affected by a num- ber of ...the spatio-temporal ...
15
Three essays on time series: spatio temporal modelling, dimension reduction and change point detection
... We generate data from (2.2.20) with different setting for n and p. We apply the proposed method and compare the error (2.3.27) with the estimation method of Lam, Yao and Bathia (2011). For simplicity, we set the ...
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Spatio-temporal modelling of lightning climatologies for complex terrain
... location data that are homogeneously detected – with the same network and se- lection algorithm – typically cover on the order of 10 ...enough data are available to compute a spatially resolved climatology ...
10
A visual analytics framework for spatio-temporal analysis and modelling
... of data abstraction and generalisation and achieve a suitable trade-off between the model quality and model complexity, ...entire spatio-temporal ...for modelling spatio-temporal ...
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The spatio temporal pattern of urban growth: measurement, analysis and modelling
... historical data of urban development and temporal inventory of land- use/land-cover ...the spatio-statistical models cannot be adopted for these ...historical data from satellite imageries and ...
10
Computationally Efficient Modelling of Stochastic Spatio-Temporal Dynamics in Biomolecular Networks
... provide data on the trajectories of multiple individual molecules simultaneously, motivating the development of techniques for the stochastic spatio-temporal modelling of biomolecular ...
7
Spatio temporal modelling of dam deformation using independent component analysis
... deformation data of several points on the dam (Popescu, ...(i.e. spatio-temporal model) with physical meaning parameters is possible for dam statistical deformation ...a data mining ...
11
Online Full Text
... The spatio-temporal modelling and forecasting of incidences of crimes have now become a routine part of crime prevention ...and temporal dynamics of crime into account remains a ...a ...
6
McMaster Mesonet soil moisture dataset: description and spatio temporal variability analysis
... atmospheric modelling, the advantage of high reso- lution datasets is increasingly recognized (Wood et ...moisture data at high spatial resolution (hillslope scale) can be described as hav- ing a moderate ...
18
2D STR : reducing spatio temporal traffic datasets by partitioning and modelling
... and temporal values of the instances in the region as the independent values of the model, and the values of the real-valued features as depen- dent ...after modelling is ...appropriate modelling ...
13
A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in Greater London
... residual spatio-temporal auto- correlation in the respiratory disease data after the covar- iate effects have been removed, which if ignored can bias the estimated health effects of air ...of ...
10
Stochastic reconstruction of spatio temporal rainfall patterns by inverse hydrologic modelling
... of spatio-temporal rainfall patterns is required as input for distributed hydrologic models used for tasks such as flood runoff estimation and ...true spatio-temporal rainfall pattern, ...
13
Modelling of spatio-temporal zero truncated patterns in infectious disease surveillance data
... incidence data in Afghanistan between 2003 and 2009. The data sets were monthly cases of leishmaniasis reported to the Afghanistan Health Management Information System (HMIS) under the National Malaria and ...
14
Mathematical modelling of spatio-temporal glioma evolution
... Future efforts include the incorporation of several parameters aiming to overcome the limitations. A straight forward direction for model amendment is to address brain tis- sue heterogeneity and anisotropy issues, in ...
31
Spatio temporal Texture Modelling for Real time Crowd Anomaly Detection
... as Spatio-temporal Compositions (STC) [1] and Inference by Composition (IBC) [34], The STC highlights its real-time performance and the IBC has been considered as one of the most accurate method for anomaly ...
20
Phenology of Trichodesmium spp. blooms in the Great Barrier Reef lagoon, Australia, from the ESA-MERIS 10-year mission
... During its mission, the MERIS ocean color sensor onboard the Envisat satellite provided reduced resolution (RR; 1.2 Km) imagery acquisitions of the GBR every two days on average. MERIS full resolution (FR; 300 m) imagery ...
26
Region-Based Message Exploration over Spatio-Temporal Data Streams
... of spatio-temporal data that contain loca- tion and text content are being generated by location-based social ...These spatio-temporal messages cover a wide range of ...retrieve ...
8
A real time spatio temporal data exploration tool for marine research
... The process described above, requires access to specialised software and knowledge before a simple single-user visual analysis process can be undertaken. Due to limited berths on most research vessels, financial ...
127
Numerical modelling of spatio-temporal thermal heterogeneity in a complex river system
... and river hydrodynamic and heat transport models to understand spatio-temporal water column thermal.. The thermal dynamics identified herein could not have been observed with air - water[r] ...
35