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Titlebook: Interaction, Evolution and Chaos in Space; Peter Nijkamp,Aura Reggiani Book 1992 Springer-Verlag Berlin · Heidelberg 1992 (Dis-)Equilibriu

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發(fā)表于 2025-3-21 17:25:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Interaction, Evolution and Chaos in Space
編輯Peter Nijkamp,Aura Reggiani
視頻videohttp://file.papertrans.cn/471/470427/470427.mp4
圖書(shū)封面Titlebook: Interaction, Evolution and Chaos in Space;  Peter Nijkamp,Aura Reggiani Book 1992 Springer-Verlag Berlin · Heidelberg 1992 (Dis-)Equilibriu
描述For many decades scholars from various disciplines have been intrigued by the question whether there are unifying principles or models that have a validity in different disciplines. The building of such analytical frameworks bridging the gaps between scientific traditions is a very ambitious task and has not been very successful up till now. In the past - in a static context - several such principles have been defined and advocated at the edge of the natural sciences on the one hand and social sciences (in particular, economics and geography) on the other hand, mainly based on the paradigm of ‘social physics‘. Some important contributions to the integration of the spatial systems sciences and physics can be found in gravity theory and entropy theory, which have formed the comer stones of interaction models in space. This book is about spatial interaction models. It describes the origin, the history and the correspondence of such models from a ‘social physics‘ perspective. It is emphasized that such models need a clear behavioural underpinning as a sine qua non for a valid use in spatial systems analysis. This view also explains the use of micro-based disaggregate choice models as a
出版日期Book 1992
關(guān)鍵詞(Dis-)Equilibrium; Chaos; Dynamics; Dynamik; R?umliche Wechselwirkungen; Spatial Interaction; Ungleichgewi
版次1
doihttps://doi.org/10.1007/978-3-642-77509-3
isbn_softcover978-3-642-77511-6
isbn_ebook978-3-642-77509-3
copyrightSpringer-Verlag Berlin · Heidelberg 1992
The information of publication is updating

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Book 1992the history and the correspondence of such models from a ‘social physics‘ perspective. It is emphasized that such models need a clear behavioural underpinning as a sine qua non for a valid use in spatial systems analysis. This view also explains the use of micro-based disaggregate choice models as a
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‘phases of development’, is attractive because it is Cartesian. In addition, it enables a healthy fatalism in the face of what we know to be pointless (the plethora of processes and controls), without having the means or will to remedy this. This is but a short step from saying one might as well jus
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Peter Nijkamp,Aura Reggianil seehow a solution architecture unfolds that demonstrates a complete end-to-end IoT and Advanced Analytics scenario..What You‘ll Learn:.Automate your software product life cycle using PowerShell, Azure Resource Manager Templates, and Visual Studio Team Services.Implement smart devices using Node.JS
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