SCIENTIA GEOGRAPHICA SINICA ›› 2016, Vol. 36 ›› Issue (5): 760-765.doi: 10.13249/j.cnki.sgs.2016.05.014

• Orginal Article • Previous Articles     Next Articles

Spatial Pattern of Farming Distance in Rural Area Using ESDA

Yuan Zhao1,2,3, Yueming Hu1,3,4,5(), Xinchang Zhang2, Lu Wang1,3,5, Feixiang Chen1,3,5, Zhizhong Zhao4   

  1. 1. Colledge of Natural Resources and Environment of South China Agricultural University, Guangzhou 510642, Guangdong, China
    2. School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, Guangdong, China
    3. Key Laboratory of the Ministry of Land and Resources for Construction Land Transformation & Guangdong Province/Key Laboratory of Land Use and Consolidation & Guangdong Province/Land Information Engineering Research Center, Guangzhou 510642, Guangdong, China
    4. College of Agriculture and Animal Husbandry, Qinghai University, Xining 810016, Qinghai, China
    5.Guangzhou Geoinfomation Engineering Research Cente, Guangzhou 510642, Guangdong, China
  • Received:2015-02-28 Revised:2015-06-04 Online:2016-07-20 Published:2016-07-20
  • Supported by:
    Guangdong Provincial Science and Technology Project (2013A061402012, 2014B020206002)


On the background of the increase of population and the decrease of arable land, how to improve efficiency and quality of farmland use is an important issue in China. We noticed that the administrative villager council as the unique legitimate and formal institution in countryside and the cultivators is restricted in their administrative village. To some extent, the cultivators' activity in the rural area are bound to their contracted land within a certain farming distance. However, the ideas on how to estimate the effect on spatial patters by the farming radius are vague in recent studies because the analysis on the relationship between rural settlements and arable land is qualitative and patial. To compare and evaluate the spatial pattern of cultivated land, we proposed a mothod to estimate the spatial distribution of the farming distance between settlements and farmland using exploratory spatial data analysis (ESDA) and the local indicator of spatial association (LISA). The study area is the Yangshan County located in the northwest Guangdong Province, which is one of the most representative county in the traditional mountain farming district. By this method, we found that the average farming distance changed more quickly than the coverage rate did with the increase of the coverage rate. When the coverage was up to 90%, the average distance increased up to 570 m, and the coverage was up to 100%, the average distance of the eincreased to 1 134 m. In other words, it is equivalent to the distance required to complete 90% of the cultivated land if the cultivators want to completely use 10% of the rest cultivated land with the greater distance. Simultaneously, we found the variation of farming distance in the study area was more accurately according to LISA statistical method. The result showed that: 1) The farming distance was affected by many factors such as quality of arable land and level of terain, and there is a stronger correlation between farming distanc and quality of arable land and level of terain. 2) The spatial distribution of farming distance was nonuniform and the changes from low clustering value to a high value of farming distance indicated that the pattern of arable land in the study area became more decentralized with the increase of the distance scale. 3) the proposed method can expose the spatial differentiation of farming distance in the whole region using exploratory spatial data analysis and it is particularly useful to guide the formulation of public policies for adjustment of rural residential area and the construction of high standard farmland.

Key words: rural settlements, land resources, farming distance, ESDA

CLC Number: 

  • P208