SCIENTIA GEOGRAPHICA SINICA ›› 2016, Vol. 36 ›› Issue (12): 1912-1919.doi: 10.13249/j.cnki.sgs.2016.12.017

Special Issue: 地理大数据

• Orginal Article • Previous Articles     Next Articles

Exploring Physical Process and Methods of Big Data Era for Land Use Planning

Weidong Shan1(), Yueming Hu2, Canfei He3, Xiaoshu Cao4, Xianjin Huang5(), Xin Tong3, Changyan Wu5   

  1. 1.Department of Science, Technology and International Cooperation, Ministry of Land and Resources,Beijing 100812, China
    2. School of Information, South China Agriculture University, Guangzhou 510642, Guangdong, China
    3. College of Urban and Environmental Sciences,Peking University, Beijing 100871, China
    4. School of Geography and Planning,SunYat-Sen University, Guangzhou 510275,Guangdong, China
    5. School of Geographic and Oceanographic Sciences,Nanjing University,Nanjing 210023, Jiangsu, China
  • Received:2015-07-11 Revised:2016-08-25 Online:2016-12-20 Published:2016-12-20
  • Supported by:
    National Science and Technology Support Foundation of China(2013BAJB00)

Abstract:

With the further process of urbanization and industrialization, the structure of industrial space has been restructuring, which leads to a sharp contradictions between demand and supply of land resources. Because of this serious disorder development of land resources, it is a primary task of ecological civilization to optimize the spatial pattern of land resources.Meanwhile, a higher requirement of land use planning is needed to allocate scientifically and reasonably land resources. Therefore, the traditional methods of land use planning need to be reformed. In this paper, in order to achieve the purpose of coordination development based on the strategy of ‘Community life of mountain-water-forest-cropland-lake’, we follow the concept of respecting and conforming to nature, and summarize the impact of land-based physical process on land use planning. Moreover, with the advent of the era of ‘big data’, we find that many technical methods, such as cloud computing, spatial data integration, cloud analysis, provide a new technical support to land use planning.Finally, considering the special characteristic of land use planning data and mobile user terminal is needed, we suggest that cloud services platform should be created, which enables integrated management and updating data of land planning, thereby, it will improve the quality of land use planning.

Key words: land ecological planning, cloud services, big data, geochemical cycle

CLC Number: 

  • K901