Open AccessThe selection of ecological source of Changjiang County based on granularity inverse method and principal component analysis
Author(s) -
Changqing Li,
Jiyun She,
Yujie Lu,
Yi Wu
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/4/042003
Subject(s) - granularity , principal component analysis , scale (ratio) , selection (genetic algorithm) , ecology , component (thermodynamics) , geography , inverse , component analysis , environmental science , computer science , cartography , mathematics , statistics , biology , artificial intelligence , physics , thermodynamics , geometry , operating system
This paper took Changjiang County as the study district. The selection of ecological source were analyzed by using GIS technology, granularity inverse method and principal component analysis. The result of the granularity inverse method and principal component analysis was that the optimal landscape composition structure of Changjiang County had a particle size of 600 m; there were 14 ecological sources aggregately, and 23 pieces of ecological landscape patches needed to increase newly. Besides, the distribution trend of ecological source was characterized by a large quantity but small scale in the central section and small quantity but large scale in the southeast and northwest, which was mainly influenced by human disturbance.