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发表于 2025-3-21 16:38:46
书目名称Entropy Measures for Environmental Data影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0320660<br><br> <br><br>书目名称Entropy Measures for Environmental Data影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0320660<br><br> <br><br>书目名称Entropy Measures for Environmental Data网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0320660<br><br> <br><br>书目名称Entropy Measures for Environmental Data网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0320660<br><br> <br><br>书目名称Entropy Measures for Environmental Data被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0320660<br><br> <br><br>书目名称Entropy Measures for Environmental Data被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0320660<br><br> <br><br>书目名称Entropy Measures for Environmental Data年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0320660<br><br> <br><br>书目名称Entropy Measures for Environmental Data年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0320660<br><br> <br><br>书目名称Entropy Measures for Environmental Data读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0320660<br><br> <br><br>书目名称Entropy Measures for Environmental Data读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0320660<br><br> <br><br>
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发表于 2025-3-21 23:16:46
Spatial Entropy Measures, the main approaches available in the literature for the consideration of the spatial dimension in entropy indices. In particular, Sect. . contains Batty’s approach to spatial entropy for geographical data, and its extension for the inclusion of a neighbourhood system. Section . outlines the other m
阶层
发表于 2025-3-22 03:13:59
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Leaven
发表于 2025-3-22 07:54:23
Entropy Estimation,dependence structures. The idea is that the available observations are a (temporary) picture of an underlying and unknown process that governs the actual diversity of the system. Therefore, data are considered as a sample extracted from such process, and used for understanding what the latent hetero
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发表于 2025-3-22 10:13:05
Linda Altieri,Daniela CocchiCovers both theoretical and practical aspects of entropy measures.Is the first book to deal with spatial entropy estimation for complex data.Provides examples and tutorials to make results understanda
largesse
发表于 2025-3-22 15:02:35
Advances in Geographical and Environmental Scienceshttp://image.papertrans.cn/f/image/320660.jpg
largesse
发表于 2025-3-22 17:55:43
https://doi.org/10.1057/9781403983589iples of entropy, initially introduced in Information Theory: we focus on the original entropy formula for categorical variables, and on its decomposition, that contains the potential for the extension to spatial entropy. The second Section focuses on environmental studies and provides some necessar
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发表于 2025-3-22 23:07:58
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fatuity
发表于 2025-3-23 03:56:06
Tshilidzi Marwala,Monica Lagaziod environmental data. Techniques are borrowed from the branch of spatial sampling, a collection of methods for extracting subsets of observations from a population, where the spatial location of occurrences is considered relevant for estimating the target characteristics, such as the mean or total o
deforestation
发表于 2025-3-23 07:51:50
https://doi.org/10.1007/978-3-319-78229-4dependence structures. The idea is that the available observations are a (temporary) picture of an underlying and unknown process that governs the actual diversity of the system. Therefore, data are considered as a sample extracted from such process, and used for understanding what the latent hetero