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Our objective was to model spatial and temporal patterns of occurrence of reptiles across an aeolian sand landscape.
Spherical cap harmonic analysis (SCHA) with a power series time dependence was used to model spatial and temporal variations of main field differences at spatial wavelengths from 3000 to 13,000 km.
We model spatial and temporal behaviour of network interactions and user-initiated network policies and define an online framework for generation of models from network and user-initiated events.
Computational fluid dynamics (CFD) technique was used to model spatial and temporal behaviour of flow patterns in an impeller-driven stirred vessel (IDSV) and in an oscillatory flow baffled vessel (OFBV).
Bertram's original model is extended to model spatial and coupling effects [ 14] due to the electrical connections between neighboring β-cells.
Additional file 1 includes the following information: 1) Probability density functions showing distribution of smoothed relative risks used in each map and 2) Plots showing the evolution of the variance of model spatial and heterogeneity components and the proportion of the mortality relative risk variance explained by the spatial structure of the models.
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Our modeling approach incorporates spatial covariates as they are useful to model spatial variability and to gain insight about factors related to the presence of forest fires.
For example, it allows one to model spatial (Perrinet and Masson 2007) or temporal (Montagnini et al. 2007) integration of information, using conditional independence assumptions.
We test spatial autocorrelation with six different spatial weight matrices (SWM) in three different spatial models: the spatial lag model, spatial error model, and general spatial model.
A study found that kriging provide the smaller error measures than multiple linear regression model, spatial lag model and spatial error model, so it was concluded that kriging has a clear advantage for spatial data analysis compared to spatial regression analysis [ 2].
The different types of spatial models make different assumptions, model spatial autocorrelation differently and analyse the data in different ways; their relative merits will be explored as part of the study.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com