GIS-based revised main function division model in the rural-urban continuum: as a case study in Tianjin, China

Qing Chang; Huanle He; Xue Li

doi:10.1117/12.886175

4 February 2011 GIS-based revised main function division model in the rural-urban continuum: as a case study in Tianjin, China

Qing Chang, Huanle He, Xue Li

Author Affiliations +

Proceedings Volume 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering; 775208 (2011) https://doi.org/10.1117/12.886175
Event: International Conference on Photonics and Image in Agricultural Engineering (PIAGENG 2010), 2010, Qingdao, China

Abstract

The usage of mutual pattern-function matrix based on Geographical Information System (GIS) provides an approach to revise the traditional main function division that lacks the transition between development and protection, especially for the rural-urban fringe areas where the communications of the matter, energy and information between different ecosystems are frequent and complex. In the paper, this GIS-based revised main function division model consists of landscape connectivity evaluation by Cost distance model, agro-suitability analysis by Grid module and mutual coupling matrix mapping by Raster calculator. All these parametric evaluations will help in squeezing/ decreasing the gap between development patterns and ecology functions in the rural-urban fringes. These concepts were implemented in the Xiqing district of Tianjin in China. The results revealed that the ecological protection zone, ecological restoration zone, limited development zone, key development zone and the optimized development zone are gradually shifted from west to east, which supported the actually spatial development rule of Tianjin city which provides a guideline for urban green space planning of Xiqing District.

Citation Download Citation

Qing Chang, Huanle He, and Xue Li "GIS-based revised main function division model in the rural-urban continuum: as a case study in Tianjin, China", Proc. SPIE 7752, PIAGENG 2010: Photonics and Imaging for Agricultural Engineering, 775208 (4 February 2011); https://doi.org/10.1117/12.886175

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