Titlebook: Intensive Variable and Its Application; Xinqi Zheng,Chunlu Xue,Zhiyuan Yuan Book 2014 The Author(s) 2014 Diminishing Returns.GIS(Geographi

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Xinqi Zheng,Chunlu Xue,Zhiyuan Yuan Services, Health, and Education. However, Government recommendations for a joint working response mean that all child-protected agencies need to work together in the process of protecting children (HM Government in Working together to safeguard children: a guide to inter-agency working to safeguard

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Book 2014heory, and by utilizing tools of spatiotemporal correlation and intensive functions, moving on to the integrated curve of diminishing returns and intensive theory, and even more importantly, using a combination of static and dynamic GIS, and integrating numerical calculation and spatial optimization

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Introduction, as an overarching concept that covers diminishing returns, intensification, and sustainable development in an attempt to review the development of human society from a higher level with a more extensive vision.

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2211-4165 ast 100 years.Integrates GIS (Geographic Information System)There are still insufficient general theories on the law of diminishing returns, despite 100 years of development. Starting with intensive variables theory, and by utilizing tools of spatiotemporal correlation and intensive functions, movin

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The IV Theory,d on the definition, and explain the hypotheses of the theory. Then the IV functions are created on two different scenarios of resource conditions. In the end of this chapter, we obtain the IV curve based on the LDR diagram.

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IV Methodology,ment, and technological advance intensity is calculated by Malmquist Index. At last, we describe the calculation of resource structure and distribution optimization parameter, which include distribution optimization parameter and time change parameter.

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Computing Tools,ased computing tool, are explained in this chapter. A range of features, such as data sorting and management, resource condition suitability assessment, IV curve generation, etc., are provided in the computing tools.

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Intensive Evaluation of Urban Land Use,et investment, population, technological advance, and land Gini coefficient. Calculation results show Beijing has already been in the intensive land use stage, but is in an excessive use stage spatially. The IV model is proved to be applicable on intensive urban land use evaluation, and IVs can accurately reflect the status of urban land use.