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Research On Influential Factors Of Land Managerial Fragmentation Based On GWR Model

Posted on:2017-02-22Degree:MasterType:Thesis
Country:ChinaCandidate:X WangFull Text:PDF
GTID:2349330512960741Subject:Cartography and Geographic Information System
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Land managerial fragmentation(LMF) refers to the land that farmers have the managerial right, and it usually divides the naturally formed patches to more fragmented and different sizes by ridges and ditches. Its formation is the result of a variety of factors in the space range. So it is necessary to explore the change of its spatial position and to reveal the spatial relationship between it and the influencing factors. This helps people to understand quantitatively the land fragmentation distribution and its formation mechanism, and to provide scientific decision-making basis for the Scale operation.The conception 'Land managerial fragmentation(LMF)'is proposed and NAWMSI is rebuilded in this research. Choose five factors of impacting land managerial fragmentation from different sides of farmland. The five factors are:patch area, farming convenience degree, traffic accessibility, slope of land, use grading. The basic data based on the study areas consisted of five village including Hao village, Dongjia village and so all in Taigu of Shanxi. Study the inner connection between land managerial fragmentation and its impacting factors by land managerial fragmentation's quantitative analysis of NAWNSI in the study area, GWR model and PCA.The main conclusion:1) It is found that the extent of land managerial fragmentation shows the variation trend changing with geographical position and some spatial dependence and spatial heterogeneity exists in it.2) The analysis of model parameter R2, AIC and variance shows that AIC adjustable space nuclear of GWR model has a better effect of Interpretation compared to the ordinary linear regression OLS model.3) The result of GWR shows that land managerial fragmentation has positive correlation with the patch area, farming convenience degree, traffic accessibility, use grading and has negative correlation with slope of land. The spatial nonstationarity of all factors were significant, and every factor's influence degree on land managerial fragmentation differs with the change of spatial position.4)Get an comprehensive influence factor through principal component analysis of each factor. The relevance of land managerial fragmentation and each factor is 0.828.
Keywords/Search Tags:Land, Farm manage, Fragmentation, Influential factors, Geographically Weighted Regression(GWR)
PDF Full Text Request
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