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T. Quibel B. Deloison F. Chammings G. E. Chalouhi N. Siauve M. Alison B. Bessières J. L. Gennisson O. Clément L. J. Salomon 《黑龙江环境通报》2015,35(11):1106-1111
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Spatial independence of objects is a strong hypothesis when using boolean models. Methods to test it have then been developed, but only when the objects are convex. We propose here to replace this assumption by a bound assumption of the objects which can be more easily assumed when modeling spatial patterns in ecology and agricultural science. A test is then proposed, based on the length of the voids of the intersection between transect lines and a dilation of the original process related to the bound value. Its application is shown to several examples, together with its extension to an epidemiological case on orchards, where this problem comes from. Copyright © 2007 John Wiley & Sons, Ltd. 相似文献
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Nicole H. Augustin Verena M. Trenkel Simon N. Wood Pascal Lorance 《Environmetrics》2013,24(2):109-119
Fishery catch data offer a rich potential source of information for management, if modelling can separate out the effects of fishing effort, species behaviour and population abundance. Here, we model catch data from the blue ling fishery off the northwest coast of Scotland, using generalised additive mixed models with a space time interaction represented via a novel tensor product of a soap film smooth of space with a penalized regression spline of time. The use of soap film smoothers avoids imposing correspondences between spatially adjacent areas that are in fact separated by the stock boundary. The comparison of the performance of the soap film smooth for space–time with that of a thin plate regression spline based on root mean squared prediction errors and k‐means cross‐validation suggests that in this application, the former is better overall and in particular for modelling local changes. Further, a model with continuous space‐year interaction performed better compared with one with an additive space‐year effect. After model selection, checking and validation, there is evidence for increasing blue ling abundance from 2000–2010 in some spatial locations. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献