Title :
Regionalization of Chinese medicinal plants based on spatial data mining
Author :
Xie, Caixiang ; Chen, Shilin ; Suo, Fengmei ; Yang, Dan ; Sun, Chengzhong
Author_Institution :
Inst. of Medicinal Plant Dev., Chinese Acad. of Med. Sci., Beijing, China
Abstract :
Climate factors govern the distribution of plant species which is the indicator of the corresponding region climate. Spatial clustering methods are an important component of spatial data mining. We obtained distribution data of more than 100 Chinese genuine regional herb plants to serve as basic data for spatial analyze. Spatial clustering algorithm based on spatial contiguity relations in GIS was used to group China counties into seven regions distinctive in climate and ecology features. The clustering results showed the eco-environment has great effects on geo-authenticities of traditional Chinese medicine materials.
Keywords :
data mining; geographic information systems; pattern clustering; Chinese medicinal plants; GIS; climate factors; geography information system; regionalization; spatial clustering methods; spatial data mining; Algorithm design and analysis; Clustering algorithms; Data mining; Geographic Information Systems; Geography; Meteorology; Spatial databases; Geography Information System; data mining; genuine regional herb; neighborhood relation; spatial clustering;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569374
