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For the Gaussian kernel, movement restrictions had only a small effect on spread, whereas for the exponential and, especially, the fat-tailed and FMD kernels, these restrictions greatly reduced spread.
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Kernel nucleation, movement and growth affected the location and movement of subsequent autoignition sites, and resulted in stagnation of the incoming flow and flashback.
Kernels, data movement, and other operations are not simply executed by the user calling a runtime function.
The model is based on a flexible cognitive algorithm that provides the framework for an adaptive movement kernel.
When the movement kernel is not smooth, we show that both the older and newer methods can lead to quantitatively misleading results.
In this context, our study fits recent modelling studies where dispersal kernels emerged from movement rules [ 62, 63].
Pollen dispersal events identified by paternity analyses were used to estimate a pollen dispersal kernel characterizing pollen movements within our study area, in terms of an exponential power function [ 55].
An alternative involves movement-based kernel density estimation (MKDE) through location interpolation, which may be applied to various movement behaviours but lacks a sound theoretical basis.
Although these differences often underscore the anisotropy and context-dependence of dispersal kernels [13], we are not aware of any study that has attempted to generate spatially-explicit kernels based on animal movement data (but see [23] for an example of spatial heterogeneity generated by the overlap of isotropic kernels).
Using an 8-year data set representing over 20 000 contact hours, we estimated home ranges for seven social groups at four nested temporal scales and three nested spatial scales using a movement-based kernel method.
Finally, the movement-based kernel density estimation (MKDE) method is proposed to estimate taxis' service ranges within three isopleth levels (50, 75 and 95%) between summer/weekday and winter/weekend from taxi driver's perspective, and season as well as temperature factors are identified as the significant effect within certain service range levels.
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