IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2017  > Vol14 No.3
Selecting suitable sites for mountain ginseng (Panax ginseng) cultivation by using geographically weighted logistic regression
HAN Hee; JANG Kwang-min; CHUNG Joo-sang
Corresponding AuthorJANG Kwang-min
2017-03
Source PublicationJournal of Mountain Science
ISSN1672-6316
Volume14Issue:3Pages:492-500
Subtype期刊论文
AbstractWith the well-beingtrends to pursue a healthy life, mountain ginseng (Panax ginseng) is rising as one of the most profitable forest products in South Korea. This study was aimed atevaluating a new methodology for identifying suitable sites for mountain ginseng cultivation in the country. Forest vegetation data were collected from 46 sites and the spatial distribution of all sites was analyzed using GIS data for topographic position, landform, solar radiation, and topographic wetness. The physical and chemical properties of the soil samples, including moisture content, pH, organic matter, total nitrogen, exchangeable cations, available phosphorous, and soil texture, were analyzed. The cultivation suitability at each site was assessed based on the environmental conditions using logistic regression (LR) and geographically weighted logistic regression (GWLR) and the results of both methods were compared. The results show that the areas with northern aspect and higher levels of solar radiation, moisture content, total nitrogen, and sand ratio are more likely to be identified as suitable sites for ginseng cultivation. In contrast to the LR, the spatial modeling with the GWLR results in an increase in the model fitness andindicates that a significant portion of spatial autocorrelation in the data decreases. A higher value of the area under the receiver operating characteristic (ROC) curve presents a better prediction accuracy of site suitability by the GWLR. The geographically weighted coefficient estimates of the model arenon-stationary, and reveal that different site suitability is associated with the geographical location of the forest stands. The GWLR increases the accuracy of selecting suitable sites by considering the geographical variations in the characteristics of the cultivation sites.
KeywordPanax Ginseng Site Suitability Logistic Regression Geographicallyweighted Logistic Regression Geographic Information System South Korea
DOI10.1007/s11629-016-4118-9
Indexed BySCI
Language英语
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/18436
CollectionJournal of Mountain Science_Journal of Mountain Science-2017_Vol14 No.3
Recommended Citation
GB/T 7714
HAN Hee,JANG Kwang-min,CHUNG Joo-sang. Selecting suitable sites for mountain ginseng (Panax ginseng) cultivation by using geographically weighted logistic regression[J]. Journal of Mountain Science,2017,14(3):492-500.
APA HAN Hee,JANG Kwang-min,&CHUNG Joo-sang.(2017).Selecting suitable sites for mountain ginseng (Panax ginseng) cultivation by using geographically weighted logistic regression.Journal of Mountain Science,14(3),492-500.
MLA HAN Hee,et al."Selecting suitable sites for mountain ginseng (Panax ginseng) cultivation by using geographically weighted logistic regression".Journal of Mountain Science 14.3(2017):492-500.
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