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SPATIAL GRADIENT ANALYSIS OF URBAN GREEN SPACES COMBINED WITH LANDSCAPE METRICS IN JINAN CITY OF CHINA

SPATIAL GRADIENT ANALYSIS OF URBAN GREEN SPACES COMBINED WITH LANDSCAPE METRICS IN JINAN CITY OF CHINA

作     者:KONG Fan-hua Nobukazu NAKAGOSHI YIN Hai-wei Akira KIKUCHI 

作者机构:Graduate School for International Development and Cooperation Hiroshima University Higashi-Hiroshima 739-8529 Japan Department of Urban and Resources Sciences Nanjing University Nanjing 210093 P. R. China 

出 版 物:《Chinese Geographical Science》 (中国地理科学(英文版))

年 卷 期:2005年第15卷第3期

页      面:254-261页

核心收录:

学科分类:090706[农学-园林植物与观赏园艺] 0907[农学-林学] 08[工学] 09[农学] 0834[工学-风景园林学(可授工学、农学学位)] 

基  金:UndertheauspicesoftheThe21stCenturyCenterofExcellenceprogramofHiroshimaUniversity 

主  题:urban green space spatial pattern gradient analysis landscape metrics GIS Jinan City 

摘      要:Urban green spaces have been arisen growing concern responded to the social and environmental costs of urban sprawl. A wide range of planning and policies has been and/or will be designed to protect urban green spaces and optimize their spatial pattern. A better design or planning of urban green space can make a major contribution to quality of environment and urban life, and furthermore can decide whether we can have a sustainable development in the urban area. Information about the status quo of urban green spaces can help planners design more effectively. However, how to quantify and capture such information will be the essential question we face. In this paper, to quantify the urban green space, a new method comprising gradient analysis, landscape metrics and GIS was developed through a case of Jinan City. The results demonstrate: 1) the gradient analysis is a valid and reliable instrument to quantify the urban green space spatial pattern precisely; 2) using moving window, explicit landscape metrics were spatially realized. Compared with quantifying metrics in the entire landscape, it would be better to link pattern with process and establish an important basis for analyzing the ecological and socioeconomic functions of green spaces.

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