JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI ›› 2016, Vol. 33 ›› Issue (12): 138-143.DOI: 10.11988/ckyyb.20150765

• INFORMATION TECHNOLOGY APPLICATION • Previous Articles     Next Articles

Vegetation Cover Pattern in Fujian and Jiangxi Provinces and Its Driving Mechanism Based on Geographically Weighted Regression Model

QI Wen1,2, QIU Bing-wen1,2, FAN Zhan-ling1,2   

  1. 1.National-local Joint Engineering Laboratory of Geo-spatial Information Technology, Fuzhou University, Fuzhou 350002, China;
    2.Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, China
  • Received:2015-09-10 Published:2016-12-20 Online:2016-12-13

Abstract: Researching the pattern of vegetation cover is of great significance for the sustainable development of eco-environment.In this article, the characteristics of vegetation cover pattern and its driving mechanism were investigated and analyzed using geographically weighted regression (GWR) model based on vegetation cover index data of 30m resolution.Fujian Province and Jiangxi Province were selected as study area, and natural and human factors were considered in the analysis. Research results revealed that 1) in Fujian and Jiangxi provinces, topography is a main factor affecting the vegetation cover degree which has the strongest correlation with elevation within the range of [100,300) m and [300,500) m respectively, and weak correlation with slope gradient, above 25 ℃ and 10 ℃ respectively; 2) the correlation between vegetation cover degree and distance from river for the two provinces differ greatly. In Jiangxi Province, the mainstream is surrounded by towns and cropland, while in Fujian Province, the mainstream is surrounded by towns and woodland; 3) the distance to residence at 5 km and 4 km has the weakest correlation with vegetation cover degree in Jiangxi and Fujian, respectively.

Key words: geographically weighted regression model, Fujian and Jiangxi Provinces, vegetation index, natural vegetation cover pattern, driving mechanism

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