Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in China
Rocky desertification is an important type of ecological degradation in southwest of China. The author uses the web crawler technology and obtained 9345 journal papers related to rocky desertification from 1950s to 2016 in China. The authors also constructed a technological process to extract resear...
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doaj-8e3698b7f7254a3fa5ef64d2a221fa222020-11-24T21:09:59ZengMDPI AGApplied Sciences2076-34172018-10-01811207510.3390/app8112075app8112075Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in ChinaYunfeng Hu0Yueqi Han1Yunzhi Zhang2State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, ChinaRocky desertification is an important type of ecological degradation in southwest of China. The author uses the web crawler technology and obtained 9345 journal papers related to rocky desertification from 1950s to 2016 in China. The authors also constructed a technological process to extract research hot regions on rocky desertification and then a spatial distribution map of research hot regions on rocky desertification was formed. Finally, the authors compared the spatial distribution using the sensitivity map of rocky desertification to find the differences between two maps. The study shows that: (1) rocky desertification research hot regions in China are mainly distributed in Guizhou, Yunnan and Guangxi, especially in Bijie, Liupanshui, Guiyang, Anshun, Qianxinan Autonomous Prefecture, QianNan Autonomous Prefecture, Qiandongnan Autonomous Prefecture in Guizhou Province, Hechi, Baise, Nanning, Guilin in Guangxi Zhuang Autonomous Region and Zhaotong in Yunnan Province. (2) The research hot regions on rocky desertification have good spatial consistency with the sensitivity regions of rocky desertification. At the prefecture level, the overlap rate of the two regions reached 85%. Because of the influence of topography, vegetation coverage, population distribution, traffic accessibility and other factors, there were regions that consisted of combinations of high sensitivity but low research popularity regarding rocky desertification; these sites included Qionglai Mountain-Liangshan Area of Sichuan, Wushan-Shennongjia Area of Hubei, Hengduan Mountain Area of western Yunnan and Dupangling Area of southern Hunan. (3) The research hot regions and sensitive regions cannot be matched completely in time, space and concept. Therefore, we can use their spatial distribution differences to improve the pertinence of planning, governance and study of rocky desertification.https://www.mdpi.com/2076-3417/8/11/2075karstrocky desertificationhot regions analysisinformation extractionspatial distributioncomparison analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yunfeng Hu Yueqi Han Yunzhi Zhang |
spellingShingle |
Yunfeng Hu Yueqi Han Yunzhi Zhang Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in China Applied Sciences karst rocky desertification hot regions analysis information extraction spatial distribution comparison analysis |
author_facet |
Yunfeng Hu Yueqi Han Yunzhi Zhang |
author_sort |
Yunfeng Hu |
title |
Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in China |
title_short |
Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in China |
title_full |
Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in China |
title_fullStr |
Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in China |
title_full_unstemmed |
Information Extraction and Spatial Distribution of Research Hot Regions on Rocky Desertification in China |
title_sort |
information extraction and spatial distribution of research hot regions on rocky desertification in china |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2018-10-01 |
description |
Rocky desertification is an important type of ecological degradation in southwest of China. The author uses the web crawler technology and obtained 9345 journal papers related to rocky desertification from 1950s to 2016 in China. The authors also constructed a technological process to extract research hot regions on rocky desertification and then a spatial distribution map of research hot regions on rocky desertification was formed. Finally, the authors compared the spatial distribution using the sensitivity map of rocky desertification to find the differences between two maps. The study shows that: (1) rocky desertification research hot regions in China are mainly distributed in Guizhou, Yunnan and Guangxi, especially in Bijie, Liupanshui, Guiyang, Anshun, Qianxinan Autonomous Prefecture, QianNan Autonomous Prefecture, Qiandongnan Autonomous Prefecture in Guizhou Province, Hechi, Baise, Nanning, Guilin in Guangxi Zhuang Autonomous Region and Zhaotong in Yunnan Province. (2) The research hot regions on rocky desertification have good spatial consistency with the sensitivity regions of rocky desertification. At the prefecture level, the overlap rate of the two regions reached 85%. Because of the influence of topography, vegetation coverage, population distribution, traffic accessibility and other factors, there were regions that consisted of combinations of high sensitivity but low research popularity regarding rocky desertification; these sites included Qionglai Mountain-Liangshan Area of Sichuan, Wushan-Shennongjia Area of Hubei, Hengduan Mountain Area of western Yunnan and Dupangling Area of southern Hunan. (3) The research hot regions and sensitive regions cannot be matched completely in time, space and concept. Therefore, we can use their spatial distribution differences to improve the pertinence of planning, governance and study of rocky desertification. |
topic |
karst rocky desertification hot regions analysis information extraction spatial distribution comparison analysis |
url |
https://www.mdpi.com/2076-3417/8/11/2075 |
work_keys_str_mv |
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