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Hence, for a given sensing model, a spatial correlation model is not necessitated for sensor data.

In order to apply the PFR model, a spatial database of landslide-related factors was constructed in the GIS platform.

This article describes the development and application of the FRAGGLE model, a spatial system dynamics model designed to calculate connectivity indices among populations.

We don't think it is proper to call all of these three models "SMC models", although they all use transition probabilities, while neither Carle and Fogg nor Elfeki and Dekking call their model a "spatial Markov chain" model.

In addition, based on the current model, a spatial model can be developed by introducing the distribution of transporters along the pollen tube, the explicit spatial structure of the pollen tube and the relationship between the distribution and kinetics of the transporters.

Using the Bernoulli model, a spatial cluster of infected farms was detected in La Pampa (38.38 S, 66.92 W; radius = 250 km; P < 0.05) (Fig.  3), where the risk for infection was nearly 2.6 (RR = 2.58; P < 0.05) times higher in farms located inside the cluster than in those located elsewhere.

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For chromatin density quantification, a hidden Markov random field model classification, combining a finite Gaussian mixture model with a spatial model (Potts model) was used, implemented in the open-source statistics software R [ 114].

The land use model is a spatial model which is based on several input variables such as population, employment, housing and businesses.

f n : 2-dimensional smooth function for modeling a spatial trend.

According to these six straightness error models, a spatial straightness error model is obtained by superposition of these straightness error models.

In the STAR model, spatial heterogeneity can be revealed by modeling a spatial function and local information on the neighborhoods of interest.

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