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Analysis on Spatial Pattern of Regional Agricultural Economy and Its Influencing Factors

Author: LiGuoPeng
Tutor: MaJinHui
School: Lanzhou University
Course: Cartography and Geographic Information Systems
Keywords: Tianshui City Spatial pattern Spatial correlation exponent Spatial weights matrix Space difference Regression Simulation
CLC: F061.5
Type: Master's thesis
Year: 2008
Downloads: 420
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Abstract


20 In the early 1990s, the rise of spatial economics of space for economic research has laid a theoretical foundation. In spatial economics, this research is defined as the space spatial pattern of economic research, based on this interpretation of spatial agglomeration phenomenon and formation mechanisms, and through this explanation of causes and mechanisms to explore a certain area (or a country) economic development issues. GIS as an important modern geography research techniques, can be a good study spatial pattern and agglomeration. In this paper, a small area within the agricultural economy spatial pattern using GIS spatial analysis functions were studied, and the reasons for the formation of this pattern had an impact factor of molecular and regression modeling, space for economic research provides a specific method. 1 GIS spatial association index is studied spatial pattern is one important way. Using Moran's I right Tianshui agricultural economy had spatial pattern analysis to prove Tianshui agricultural economy exists spatial agglomeration phenomena, using Local Moran's I right Tianshui agricultural economy spatial pattern of the Bureau some different studies that show Tianshui City, showing the agricultural economy The circle law and formed a more obvious the more developed agricultural economy of the valley landscape area, in the process, the use of time-based traffic analysis of the results of spatial weight than traditional weight matrix analysis of the results more realistic. 2 by Gi statistical study hotspot areas agricultural economy, and found that the local agricultural economy Tianshui City hotspot areas basically in Tianshui City, county district seat of government, and the circle around its present structure, in line with the general laws of economic development. 3. Combining these spatial pattern analysis of social factors and natural factors on the impact of the agricultural economy, through correlation analysis showed that the total rural population, agricultural investment amount of chemical fertilizer and plastic sheeting as usage and Tianshui City's agricultural economy than strong correlation; while in the less developed areas of agricultural produce exchange is relatively small, causing traffic network density and connectivity degrees less impact on the agricultural economy; For small areas, areas of obvious differences in climate, climatic factors and agricultural economy The degree of correlation is small. 4 Based on 1993 - 2003 data, the agricultural economy and its impact factors in the time series on the correlation analysis, found that annual rainfall, annual evaporation and annual sunshine hours and Agricultural Economic Composite Index higher correlation The spatial distribution of towns there are certain areas studied. 5 using the results of the above analysis, select the spatial distance, the total rural population, chemical fertilizer and plastic sheeting for agricultural use four factors of spatial regression composite index of economic simulations.

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