DocumentCode
2889762
Title
The evenness degree evaluation of parkland location in the main province garden cities of Shandong Province based on 1km grid model
Author
Fei, Xian-yun ; Zhang, Zhi-Guo ; Gao, Xiang-wei
Author_Institution
School of Geodesy & Geomatics Engineering, HuaiHai Institute of Technology, Lianyungang China 222005
fYear
2012
fDate
8-11 June 2012
Firstpage
337
Lastpage
341
Abstract
The evenness is one of the most important evaluation indexes for urban park green space quality. In this study, four province garden cities were chosen as the study area, including Tai´an, Linyi, Dezhou, Binzhou, and Dongying in Shandong Province. First, the limit and parkland digital location map of each urban area were obtained by visual interpretation from high spatial images such as, Quickbird and Spot5. Then, using GIS technology, the 1km grid with definite start point was drawn. Based on the 1km grid, according to national garden city standards published by State Ministry of Construction, the evenness model was developed using two factors, the ratio of blind grid zone of green space in entire urban area and the standard error of ratio of green space in service grid. Using the developed model, the spatial location evenness degree (SLED) of each city was computed. The result showed that Linyi city has the largest parkland area and Per capita park green space. But the SLED is only 3. Dongying city has the best SLED, although the per capita park green space is smaller than that of Linyi city. In Binzhou and Tai´an city, the SLED is similar, although the quantity has obvious difference. Hence, the evenness evaluation based on 1km model is more comprehensive for indicating the quality of parkland space quality.
Keywords
1km grid model; RS and GIS; Shandong Province; evenness evaluation; parkland;
fLanguage
English
Publisher
ieee
Conference_Titel
Earth Observation and Remote Sensing Applications (EORSA), 2012 Second International Workshop on
Conference_Location
Shanghai, China
Print_ISBN
978-1-4673-1947-8
Type
conf
DOI
10.1109/EORSA.2012.6261195
Filename
6261195
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