LI Ling, ZHU Daolin, HU Kelin. Application of GIS and Gradient Shift Theory of Residence Remise Land Price in Beijing[J]. Geomatics and Information Science of Wuhan University, 2012, 37(4): 482-486.
Citation: LI Ling, ZHU Daolin, HU Kelin. Application of GIS and Gradient Shift Theory of Residence Remise Land Price in Beijing[J]. Geomatics and Information Science of Wuhan University, 2012, 37(4): 482-486.

Application of GIS and Gradient Shift Theory of Residence Remise Land Price in Beijing

Funds: 国家自然科学基金资助项目(41001372)
More Information
  • Received Date: January 19, 2012
  • Published Date: April 04, 2012
  • Understanding the spatio-temporal distribution of remised land prices of a large city is important in formulating macro-controlling strategies of estate prices.The theory of gradient shift in regional economics combined with GIS technique is used to investigate spatio-temporal features of remised land prices(RLP) of Beijing.The results revealed that remised land price exhibit a high spatial correlation and the effect of regional factors on land price was more important than that of stochastic factors.High RLP regions were mainly located within second-ring road in 2001-2004,while in 2005,it shifted to outside second-ring road,2007 to outside third-ring road,2008 to outside fourth-ring road and 2009 to outside fifth-ring road.The area outside fifth-ring road will be the centre of residential development.The above gradient shift of land prices over the last ten years might be intimately associated with land supply of urban areas,construction track transportation,infrastructure,and shift of functions of downtown areas.
  • Related Articles

    [1]DU Yuling, YAN Shiyong, ZHANG Haolei, ZHAO Feng, QIU Chunping. Research and Application of DS‑InSAR Phase Optimization Based on Regional Growth[J]. Geomatics and Information Science of Wuhan University, 2024, 49(2): 216-224. DOI: 10.13203/j.whugis20210365
    [2]WANG Jie, LIU Jiahang, LING Xinpeng, DUAN Zexian. Deep Learning-Based Joint Local and Non-local InSAR Image Phase Filtering Method[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240052
    [3]LUO Haibin, HE Xiufeng. InSAR Phase Unwrapping Algorithms with the Aid of GPS Control Points[J]. Geomatics and Information Science of Wuhan University, 2017, 42(5): 630-636. DOI: 10.13203/j.whugis20140956
    [4]YU Xiaoxin, YANG Honglei, PENG Junhuan. A Modified Goldstein Algorithm for InSAR Interferogram Filtering[J]. Geomatics and Information Science of Wuhan University, 2011, 36(9): 1051-1054.
    [5]ZHANG Hongmin, JIN Guowang, XU Qing, QIN Zhiyuan. Phase Unwrapping Algorithm with Difference Filtering for Multi-baseline InSAR[J]. Geomatics and Information Science of Wuhan University, 2011, 36(9): 1030-1034.
    [6]ZHANG Sen, TANG Jinsong, YANG Hailiang, CHEN Ming. Interferometric Phase Fusion and DEM Reconstruction Method with CSSM for Multi-frequency InSAR Systems[J]. Geomatics and Information Science of Wuhan University, 2010, 35(3): 328-333.
    [7]LI Yunjin, ZHONG Ershun, HUANG Yuefeng. An Improved and Approximate Interpolation by Skew Axial Parabola[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1490-1494.
    [8]LI Houpu, BIAN Shaofeng. Derivation of Inverse Expansions for Auxiliary Latitudes by Hermite Interpolation Method[J]. Geomatics and Information Science of Wuhan University, 2008, 33(6): 623-626.
    [9]XU Caijun, WANG Hua. Comparison of InSAR Phase Unwrapping Algorithms and Error Analysis[J]. Geomatics and Information Science of Wuhan University, 2004, 29(1): 67-71.
    [10]REN Kun, Veronique Prinet, SHI Xiangquan. Sponebace InSAR Flat Earth Removal Processing Based on Geolocation Method[J]. Geomatics and Information Science of Wuhan University, 2003, 28(3): 326-329.

Catalog

    Article views (1019) PDF downloads (323) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return