Titlebook: Resilient Cities; Cities and Adaptatio Konrad Otto-Zimmermann Conference proceedings 2011 Springer Science+Business Media B.V. 2011 Cities.

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書目名稱Resilient Cities影響因子(影響力)




書目名稱Resilient Cities影響因子(影響力)學(xué)科排名




書目名稱Resilient Cities網(wǎng)絡(luò)公開度




書目名稱Resilient Cities網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Resilient Cities被引頻次




書目名稱Resilient Cities被引頻次學(xué)科排名




書目名稱Resilient Cities年度引用




書目名稱Resilient Cities年度引用學(xué)科排名




書目名稱Resilient Cities讀者反饋




書目名稱Resilient Cities讀者反饋學(xué)科排名

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e looked at comparing various scale aspects, such as spatial resolution and the related neighborhood effect, for practical case study applications. In this chapter, we contribute to this under-explored area with a detailed study of how changes in the data preparation procedures and the scale decisio

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ans for computing the data values given a model. This is called the “forward problem”, see figure 1. In the inverse problem, the aim is to reconstruct the model from a set of measurements. In the ideal case, an exact theory exists that prescribes how the data should be transformed in order to reprod

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Mario Wilhelmcrown mortality of one or few individuals, i.e. gap dynamics, are the most frequent events occurring in OGFs. Understanding these processes requires information on the spatial arrangement of forest patches dominated by different tree species and forest canopy gaps at a fine spatial scale. Here, we a

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Guéladio Cissé,Brama Koné,Hampaté Ba,Ibrahima Mbaye,Koffi Koba,Jürg Utzinger,Marcel Tannerllites; images from UAVs; climatic data provided by Copernicus satellites), integrated with socio-economic data and geophysical data, in combination with the use of Artificial Intelligence and Analytics and integrating the data obtained within a cloud containing a Data Cube that acts as an Analytic-

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