Quantitative Research for Site-selection of Antarctic Year-round Research Stations Based on Logistic Regression

LIU Haiyan; PANG Xiaoping; WANG Yue; LI Zhongxiang

doi:10.13203/j.whugis20150260

Volume 42 Issue 3

Mar. 2017

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Geomatics and Information Science of Wuhan University > 2017 > 42(3): 390-394. > DOI: 10.13203/j.whugis20150260

LIU Haiyan, PANG Xiaoping, WANG Yue, LI Zhongxiang. Quantitative Research for Site-selection of Antarctic Year-round Research Stations Based on Logistic Regression[J]. Geomatics and Information Science of Wuhan University, 2017, 42(3): 390-394. DOI: 10.13203/j.whugis20150260

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Quantitative Research for Site-selection of Antarctic Year-round Research Stations Based on Logistic Regression

LIU Haiyan^{1, 2, 3,},
PANG Xiaoping^{1, 2, 3, ,},
WANG Yue^{1, 3},
LI Zhongxiang^{1, 3}

1.
Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China
2.
School of Resources and Environment Science, Wuhan University, Wuhan 430079, China
3.
Key Laboratory of Polar Surveying and Mapping, National Adminstration of Surveying, Mapping and Geoinformation, Wuhan University, Wuhan 430079, China

Funds:

The Chinese Polar Strategy Fund 20150407

the China Postdoctoral Science Foundation 2016M592373

More Information

Author Bio:
LIU Haiyan, lecturer, specializes in cartography and GIS application, data model analysis and uncertainty. E-mail:liuhaiyan@whu.edu.cn
Corresponding author:
PANG Xiaoping, PhD, professor. E-mail:pxp@whu.edu.cn
Received Date: March 06, 2016
Published Date: March 04, 2017

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Abstract

Abstract

Antarctic year-round research stations are the foothold for Antarctic expedition, exploration, and sightseeing activities, whose selection affects the natural environment of Antarctica as well as the function and operational efficiency of the stations. Different from traditional site selection methods, this study utilizes the logistic regression, a quantitative method, to build the criteria system and identify their weights and model the construction environment of Antarctica with the aids from geographical information systems. Due to the elimination of artificial data classification and expert scoring process, the logistic model generated in this study largely reduced the uncertainties brought by human decisions. It turned out that the logistic model was more suitable to the construction environment than the model with all criteria, and more precise and detailed, showing the feasibility of the results.
- logistic regression,
- quantitative model,
- site selection,
- Antarctic research station

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