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A Study On Temporal And Spatial Differentiation Of Land Intensive Use Based On Spatial Date Mining And Geostatistical Analyst

Posted on:2012-04-21Degree:MasterType:Thesis
Country:ChinaCandidate:D W DongFull Text:PDF
GTID:2189330335968670Subject:Human Geography
Abstract/Summary:PDF Full Text Request
Land is one of the most basic materials of production and livelihood.With the growth of the population and economic its scarcity and limitation is becoming more and more remarkable.The rational and efficient utilization of land is concerning human survival and development. How to improve the efficiency of land use has become a key problem, which will restrict the sustainable development of China. According to the (2009)3 note on promoting the economical and intensive land utilization made by the State Council and the advice about strengthen the perfection of urban morphology and layout and the management of proposed by the twelve five-year plan, further study on the problem of intensive land use is of great practical significance to perfect the urban layout and strengthen the urbanization management and alleviate the contradiction between human and land.According to the above situation, this article studies on the intensive land use status and evolution rules of Wuhan Urban Circle from 2003 to 2009 by way of theoretical discussion and empirical research, qualitative analysis and quantitative analysis, dynamic analysis and static analysis, spatial data mining technology and GIS, geostatistical analyst and GIS.This paper mainly divided into six chapters:the first chapter is introduction, mainly introduced the research background and significance as well as the research progress of land intensive use and space-time variation in the domestic and foreign, and put forward the reason why do this research; The second chapter contains the research target, content, method and technical route; The third chapter is spatial data mining, this paper expounds the concept of spatial data mining technology, as well as the characteristics, steps and methods; The fourth chapter is the foundation theory and method of geostatistical analyst, this chapter introduces the geostatistical analyst from the basic theory and Kriging in detail; The fifth chapter is empirical research part. In this part it take each county units of the as the research object, Using the data mining and geostatistical analyst to Analysis the composite indexes of intensive land use in counties of the Wuhan Urban Circle from 2003 to 2009,and look for the law of development on the time and space. The sixth chapter is the conclusion. Summarizes the research progress of this article and puts forward innovations and deficiencies of this article.Through the research of the intensive land use of Wuhan Urban Circle from 2003 to 2009, the conclusions of this research were drawn mainly as follows:(l)Wuhan municipal district is obviously in "platform", and the degree of intensive land use is highest. Wuhan city is the only one super big city and the first degree is high.(2)Except Wuhan city, Huangshi municipal district is another "platform", the degree of intensive land use is relatively high, while the remaining counties are far more behind the Wuhan municipal district.(3) The land intensive direction of Wuhan Urban circle is in the northwest and southeast overall, and the offset Angle towards the northeast.(4) The spatial characteristics of intensive land use in Wuhan Urban Circle can be summarized as follows:Generally speaking Wuhan municipal districts is the center of the intensive land use,with the increase of distance the composite indexes of intensive land use is descending.Through the kriging interpolation in the intensive land use of Wuhan Urban Circle, and the spatial distribution analysis, it is confirmed that geostatistical analyst can be used to research the temporal and spatial differentiation of the intensive land use.
Keywords/Search Tags:Wuhan Urban Circle, Temporal and Spatial Differentiation of Intensive Land Use, Spatial Data Mining, Geostatistical Analyst
PDF Full Text Request
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