Grid evaluation model for uniformity degree of the urban park green space spatial location

GAO Xiangwei, ZHANG Zhiguo, FEI Xianyun

Journal of Nanjing Forestry University (Natural Sciences Edition） ›› 2013, Vol. 37 ›› Issue (06) : 96-100.

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南京林业大学学报（自然科学版）
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Journal of Nanjing Forestry University (Natural Sciences Edition） ›› 2013, Vol. 37 ›› Issue (06) : 96-100. DOI: 10.3969/j.issn.1000-2006.2013.06.019

Grid evaluation model for uniformity degree of the urban park green space spatial location

  • GAO Xiangwei1, ZHANG Zhiguo2*, FEI Xianyun1
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Abstract

Based on high spatial resolution RS images, the urban park green space distribution information of the 37 main garden cities in Shandong province was obtained. Then, each urban was girded by 11 kinds of scale grids(500-1 500 m)using GIS. According to the maximum consistency principle between the green space blank grid area and 500 m service blind area of park green space, the optimal scale of grid unit and starting point of urban grid was obtained by using similarity priority ratio and least square fitting analysis methods. Then, grid evaluation model for uniformity degree of the urban park green space spatial location was established. Using the evaluation model, the uniformity degree of park green space spatial location in the 9 prefecture-level cities among study area was evaluated. The result showed that the green space blank grid area of 800 m grid had the best consistency with 500 m service blind area of urban park green space and its area size had better stability when the urban grid starting point changed, so 800 m should be the priority scale for evaluation model. In the 9 evaluated cities, the spatial location of the urban park green space in Dongying city was uniform; the spatial location in Linyi, Laiwu, Zhaozhuang, Jining, Dezhou and Binzhou city tended to be uniform and the spatial location in Taian and Heze city was not uniform.

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GAO Xiangwei, ZHANG Zhiguo, FEI Xianyun. Grid evaluation model for uniformity degree of the urban park green space spatial location[J]. Journal of Nanjing Forestry University (Natural Sciences Edition）. 2013, 37(06): 96-100 https://doi.org/10.3969/j.issn.1000-2006.2013.06.019

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