Entropy, complexity, and spatial information
نویسندگان
چکیده
منابع مشابه
Entropy, complexity, and spatial information
We pose the central problem of defining a measure of complexity, specifically for spatial systems in general, city systems in particular. The measures we adopt are based on Shannon's (in Bell Syst Tech J 27:379-423, 623-656, 1948) definition of information. We introduce this measure and argue that increasing information is equivalent to increasing complexity, and we show that for spatial distri...
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Shannon information entropies in position and momentum spaces and their sum are calculated as functions of Z(2 < or = Z < or = 54) in atoms. Roothaan-Hartree-Fock electron wave functions are used. The universal property S = a + b ln Z is verified. In addition, we calculate the Kullback-Leibler relative entropy, the Jensen-Shannon divergence, Onicescu's information energy, and a complexity measu...
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Information-theoretic approaches (e.g. mutual information) have yielded accurate and robust similarity measures for multi-modal and mono-modal image registration. However, recent research suggests that registration based on mutual information has room for improvement. The paper proposes a method for including spatial information in this approach by using spatial feature vectors obtained from th...
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evaluation criteria for different versions of the same database the concept of information, during its development, is connected to the concept of entropy created by the 19th century termodynamics scholars. information means, in this view point, order or negentropy. on the other hand, entropy is connected to the concepts as chaos and noise, which cause, in turn, disorder. in the present paper, ...
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ژورنال
عنوان ژورنال: Journal of Geographical Systems
سال: 2014
ISSN: 1435-5930,1435-5949
DOI: 10.1007/s10109-014-0202-2