The spatial distribution and factors affecting karst cave development in Guizhou Province
This research examines the distribution features of 4960 caves across Guizhou Province, while probing the relationship between the caves＇ spatial patterns and geographic elements. This study is based on hydrogeological and topographic maps of Guizhou. ArcGIS software was used to process the adjacent...
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| Veröffentlicht in: | Journal of geographical sciences 2017-08, Vol.27 (8), p.1011-1024 |
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| creator | Zhou, Zhongfa Zhang, Shaoyun Xiong, Kangning Li, Bo Tian, Zhonghui Chen, Quan Yan, Lihui Xiao, Shizhen |
| description | This research examines the distribution features of 4960 caves across Guizhou Province, while probing the relationship between the caves＇ spatial patterns and geographic elements. This study is based on hydrogeological and topographic maps of Guizhou. ArcGIS software was used to process the adjacent index, spatial analysis, and coupling analysis of the caves altitude and longitude, as well as the rock properties, lithology, drainage and tec- tonic division of almost 5000 caves. Based on a point pattern analysis of Guizhou caves, the adjacent index is 0.53, and the coefficient of variation verified by Tyson polygon reached 72.469%. This figure reflects the clustered distribution pattern of the caves. Across the entire province, caves are divided into four concentrated areas and one weakly affected area. The four concentrated areas are Zunyi-Tongren, Bijie, Qianxinan-Liupanshui, and Gui- yang-Anshun-Qinan. The one weakly affected zone is Qiandongnan. The most concentrated among them is the Guiyang-Anshun-Qiannan area, which covers 24.67% of the total province area, and accounts for 36.63% of the total province＇s caves. Cave distribution in Guizhou is characterized as dense in the western part and sparse in the eastern part. Under this study background, the natural elements of formation, including lithology, structure, climate, hydrol- ogy, and altitude, and their effects on the distribution, number, and spatial pattern of cave development is analyzed. |
| doi_str_mv | 10.1007/s11442-017-1418-0 |
| format | Article |
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This study is based on hydrogeological and topographic maps of Guizhou. ArcGIS software was used to process the adjacent index, spatial analysis, and coupling analysis of the caves altitude and longitude, as well as the rock properties, lithology, drainage and tec- tonic division of almost 5000 caves. Based on a point pattern analysis of Guizhou caves, the adjacent index is 0.53, and the coefficient of variation verified by Tyson polygon reached 72.469%. This figure reflects the clustered distribution pattern of the caves. Across the entire province, caves are divided into four concentrated areas and one weakly affected area. The four concentrated areas are Zunyi-Tongren, Bijie, Qianxinan-Liupanshui, and Gui- yang-Anshun-Qinan. The one weakly affected zone is Qiandongnan. The most concentrated among them is the Guiyang-Anshun-Qiannan area, which covers 24.67% of the total province area, and accounts for 36.63% of the total province＇s caves. Cave distribution in Guizhou is characterized as dense in the western part and sparse in the eastern part. Under this study background, the natural elements of formation, including lithology, structure, climate, hydrol- ogy, and altitude, and their effects on the distribution, number, and spatial pattern of cave development is analyzed.</description><identifier>ISSN: 1009-637X</identifier><identifier>EISSN: 1861-9568</identifier><identifier>DOI: 10.1007/s11442-017-1418-0</identifier><language>eng</language><publisher>Heidelberg: Science Press</publisher><subject>Altitude ; Caves ; Coefficient of variation ; Distribution patterns ; Earth and Environmental Science ; Geographical Information Systems/Cartography ; Geography ; Geology ; GIS软件 ; Hydrogeology ; Hydrology ; Karst ; Lithology ; Nature Conservation ; Physical Geography ; Remote Sensing/Photogrammetry ; Rock properties ; Spatial analysis ; Spatial distribution ; Topographic mapping ; 喀斯特 ; 影响因素 ; 格局分析 ; 水文地质 ; 洞穴发育 ; 空间分布 ; 贵州省</subject><ispartof>Journal of geographical sciences, 2017-08, Vol.27 (8), p.1011-1024</ispartof><rights>Institute of Geographic Science and Natural Resources Research (IGSNRR), Science China Press and Springer-Verlag GmbH Germany 2017</rights><rights>Institute of Geographic Science and Natural Resources Research (IGSNRR), Science China Press and Springer-Verlag GmbH Germany 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-ae228ccd13e18f233f956d1a3bca4e798ed46fac547f2783743c7510c7f8fc663</citedby><cites>FETCH-LOGICAL-c386t-ae228ccd13e18f233f956d1a3bca4e798ed46fac547f2783743c7510c7f8fc663</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85906X/85906X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11442-017-1418-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918610022?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,777,781,21369,27905,27906,33725,41469,42538,43786,51300,64364,64368,72218</link.rule.ids></links><search><creatorcontrib>Zhou, Zhongfa</creatorcontrib><creatorcontrib>Zhang, Shaoyun</creatorcontrib><creatorcontrib>Xiong, Kangning</creatorcontrib><creatorcontrib>Li, Bo</creatorcontrib><creatorcontrib>Tian, Zhonghui</creatorcontrib><creatorcontrib>Chen, Quan</creatorcontrib><creatorcontrib>Yan, Lihui</creatorcontrib><creatorcontrib>Xiao, Shizhen</creatorcontrib><title>The spatial distribution and factors affecting karst cave development in Guizhou Province</title><title>Journal of geographical sciences</title><addtitle>J. Geogr. Sci</addtitle><addtitle>Journal of Geographical Sciences</addtitle><description>This research examines the distribution features of 4960 caves across Guizhou Province, while probing the relationship between the caves＇ spatial patterns and geographic elements. This study is based on hydrogeological and topographic maps of Guizhou. ArcGIS software was used to process the adjacent index, spatial analysis, and coupling analysis of the caves altitude and longitude, as well as the rock properties, lithology, drainage and tec- tonic division of almost 5000 caves. Based on a point pattern analysis of Guizhou caves, the adjacent index is 0.53, and the coefficient of variation verified by Tyson polygon reached 72.469%. This figure reflects the clustered distribution pattern of the caves. Across the entire province, caves are divided into four concentrated areas and one weakly affected area. The four concentrated areas are Zunyi-Tongren, Bijie, Qianxinan-Liupanshui, and Gui- yang-Anshun-Qinan. The one weakly affected zone is Qiandongnan. The most concentrated among them is the Guiyang-Anshun-Qiannan area, which covers 24.67% of the total province area, and accounts for 36.63% of the total province＇s caves. Cave distribution in Guizhou is characterized as dense in the western part and sparse in the eastern part. Under this study background, the natural elements of formation, including lithology, structure, climate, hydrol- ogy, and altitude, and their effects on the distribution, number, and spatial pattern of cave development is analyzed.</description><subject>Altitude</subject><subject>Caves</subject><subject>Coefficient of variation</subject><subject>Distribution patterns</subject><subject>Earth and Environmental Science</subject><subject>Geographical Information Systems/Cartography</subject><subject>Geography</subject><subject>Geology</subject><subject>GIS软件</subject><subject>Hydrogeology</subject><subject>Hydrology</subject><subject>Karst</subject><subject>Lithology</subject><subject>Nature Conservation</subject><subject>Physical Geography</subject><subject>Remote Sensing/Photogrammetry</subject><subject>Rock properties</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Topographic mapping</subject><subject>喀斯特</subject><subject>影响因素</subject><subject>格局分析</subject><subject>水文地质</subject><subject>洞穴发育</subject><subject>空间分布</subject><subject>贵州省</subject><issn>1009-637X</issn><issn>1861-9568</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kMtOAyEUhidGE2v1AdwRXY9ygAKzNMZb0kQXmuiKIAMt2kIFpok-vTQ1unN1zuK_5WuaY8BngLE4zwCMkRaDaIGBbPFOMwLJoe0mXO7WH-Ou5VQ87zcHOb9hTDvGyah5eZxblFe6eL1Avc8l-deh-BiQDj1y2pSYMtLOWVN8mKF3nXJBRq8t6u3aLuJqaUNBPqCbwX_N44AeUlz7YOxhs-f0Itujnztunq6vHi9v2-n9zd3lxbQ1VPLSakuINKYHakE6Qqmri3vQ9NVoZkUnbc943TFhwhEhqWDUiAlgI5x0hnM6bk63uasUPwabi3qLQwq1UpFugwBjQqoKtiqTYs7JOrVKfqnTpwKsNgTVlqCqBNWGoMLVQ7aeXLVhZtNf8n-mk5-ieQyzj-r7beICJMPQSfoNVBR_0Q</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Zhou, Zhongfa</creator><creator>Zhang, Shaoyun</creator><creator>Xiong, Kangning</creator><creator>Li, Bo</creator><creator>Tian, Zhonghui</creator><creator>Chen, Quan</creator><creator>Yan, Lihui</creator><creator>Xiao, Shizhen</creator><general>Science Press</general><general>Springer Nature B.V</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W94</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20170801</creationdate><title>The spatial distribution and factors affecting karst cave development in Guizhou Province</title><author>Zhou, Zhongfa ; Zhang, Shaoyun ; Xiong, Kangning ; Li, Bo ; Tian, Zhonghui ; Chen, Quan ; Yan, Lihui ; Xiao, Shizhen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c386t-ae228ccd13e18f233f956d1a3bca4e798ed46fac547f2783743c7510c7f8fc663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Altitude</topic><topic>Caves</topic><topic>Coefficient of variation</topic><topic>Distribution patterns</topic><topic>Earth and Environmental Science</topic><topic>Geographical Information Systems/Cartography</topic><topic>Geography</topic><topic>Geology</topic><topic>GIS软件</topic><topic>Hydrogeology</topic><topic>Hydrology</topic><topic>Karst</topic><topic>Lithology</topic><topic>Nature Conservation</topic><topic>Physical Geography</topic><topic>Remote Sensing/Photogrammetry</topic><topic>Rock properties</topic><topic>Spatial analysis</topic><topic>Spatial distribution</topic><topic>Topographic mapping</topic><topic>喀斯特</topic><topic>影响因素</topic><topic>格局分析</topic><topic>水文地质</topic><topic>洞穴发育</topic><topic>空间分布</topic><topic>贵州省</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Zhongfa</creatorcontrib><creatorcontrib>Zhang, Shaoyun</creatorcontrib><creatorcontrib>Xiong, Kangning</creatorcontrib><creatorcontrib>Li, Bo</creatorcontrib><creatorcontrib>Tian, Zhonghui</creatorcontrib><creatorcontrib>Chen, Quan</creatorcontrib><creatorcontrib>Yan, Lihui</creatorcontrib><creatorcontrib>Xiao, Shizhen</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-自然科学</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Journal of geographical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Zhongfa</au><au>Zhang, Shaoyun</au><au>Xiong, Kangning</au><au>Li, Bo</au><au>Tian, Zhonghui</au><au>Chen, Quan</au><au>Yan, Lihui</au><au>Xiao, Shizhen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The spatial distribution and factors affecting karst cave development in Guizhou Province</atitle><jtitle>Journal of geographical sciences</jtitle><stitle>J. Geogr. Sci</stitle><addtitle>Journal of Geographical Sciences</addtitle><date>2017-08-01</date><risdate>2017</risdate><volume>27</volume><issue>8</issue><spage>1011</spage><epage>1024</epage><pages>1011-1024</pages><issn>1009-637X</issn><eissn>1861-9568</eissn><abstract>This research examines the distribution features of 4960 caves across Guizhou Province, while probing the relationship between the caves＇ spatial patterns and geographic elements. This study is based on hydrogeological and topographic maps of Guizhou. ArcGIS software was used to process the adjacent index, spatial analysis, and coupling analysis of the caves altitude and longitude, as well as the rock properties, lithology, drainage and tec- tonic division of almost 5000 caves. Based on a point pattern analysis of Guizhou caves, the adjacent index is 0.53, and the coefficient of variation verified by Tyson polygon reached 72.469%. This figure reflects the clustered distribution pattern of the caves. Across the entire province, caves are divided into four concentrated areas and one weakly affected area. The four concentrated areas are Zunyi-Tongren, Bijie, Qianxinan-Liupanshui, and Gui- yang-Anshun-Qinan. The one weakly affected zone is Qiandongnan. The most concentrated among them is the Guiyang-Anshun-Qiannan area, which covers 24.67% of the total province area, and accounts for 36.63% of the total province＇s caves. Cave distribution in Guizhou is characterized as dense in the western part and sparse in the eastern part. Under this study background, the natural elements of formation, including lithology, structure, climate, hydrol- ogy, and altitude, and their effects on the distribution, number, and spatial pattern of cave development is analyzed.</abstract><cop>Heidelberg</cop><pub>Science Press</pub><doi>10.1007/s11442-017-1418-0</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Altitude Caves Coefficient of variation Distribution patterns Earth and Environmental Science Geographical Information Systems/Cartography Geography Geology GIS软件 Hydrogeology Hydrology Karst Lithology Nature Conservation Physical Geography Remote Sensing/Photogrammetry Rock properties Spatial analysis Spatial distribution Topographic mapping 喀斯特 影响因素 格局分析 水文地质 洞穴发育 空间分布 贵州省 |
| title | The spatial distribution and factors affecting karst cave development in Guizhou Province |
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