Visual analysis of the evolution and focus in landslide research field
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摘要
This paper analysed the evolution of landslide research and research foci in different countries. The data comprise 3105 landslide SCI articles published between January 1977 and June 2015 from the Web of Science. The data are extracted under interaction constraints of the journal title, category, and keywords. The complex network method is used for the analysis. First, from the perspective of topics and methods, the evolution is systematically assessed by generating a co-citation network of the articles and a semantic cluster analysis. Second, from the perspective of topics and landsliderelated disasters, the focus in different countries is discussed by generating co-occurrence networks. These networks are the co-occurrence of the countries and keywords, and the co-occurrence of countries and landslide-related disaster phrases. The main conclusions are as follows:(1) landslide susceptibility analysis and methods of machine learning are popular research topics and methods, respectively. The topics change through time, and the article output is influenced by increasing landslide-related disasters, increasing economic losses and casualties, a desire for a more complete and accurate landslide inventory, and the use of effective methods, such as geographical information Science(GIS) and machine learning.(2) The research focus in each country is related with the country-specific disasters or economic costs caused by landslides to some degree. In addition to Italy and the USA, China is the country most commonly affected by landslides, and it should develop its own landslide database and complete in-depth studies of disaster mitigation.
This paper analysed the evolution of landslide research and research foci in different countries. The data comprise 3105 landslide SCI articles published between January 1977 and June 2015 from the Web of Science. The data are extracted under interaction constraints of the journal title, category, and keywords. The complex network method is used for the analysis. First, from the perspective of topics and methods, the evolution is systematically assessed by generating a co-citation network of the articles and a semantic cluster analysis. Second, from the perspective of topics and landsliderelated disasters, the focus in different countries is discussed by generating co-occurrence networks. These networks are the co-occurrence of the countries and keywords, and the co-occurrence of countries and landslide-related disaster phrases. The main conclusions are as follows:(1) landslide susceptibility analysis and methods of machine learning are popular research topics and methods, respectively. The topics change through time, and the article output is influenced by increasing landslide-related disasters, increasing economic losses and casualties, a desire for a more complete and accurate landslide inventory, and the use of effective methods, such as geographical information Science(GIS) and machine learning.(2) The research focus in each country is related with the country-specific disasters or economic costs caused by landslides to some degree. In addition to Italy and the USA, China is the country most commonly affected by landslides, and it should develop its own landslide database and complete in-depth studies of disaster mitigation.
This paper analysed the evolution of landslide research and research foci in different countries. The data comprise 3105 landslide SCI articles published between January 1977 and June 2015 from the Web of Science. The data are extracted under interaction constraints of the journal title, category, and keywords. The complex network method is used for the analysis. First, from the perspective of topics and methods, the evolution is systematically assessed by generating a co-citation network of the articles and a semantic cluster analysis. Second, from the perspective of topics and landsliderelated disasters, the focus in different countries is discussed by generating co-occurrence networks. These networks are the co-occurrence of the countries and keywords, and the co-occurrence of countries and landslide-related disaster phrases. The main conclusions are as follows:(1) landslide susceptibility analysis and methods of machine learning are popular research topics and methods, respectively. The topics change through time, and the article output is influenced by increasing landslide-related disasters, increasing economic losses and casualties, a desire for a more complete and accurate landslide inventory, and the use of effective methods, such as geographical information Science(GIS) and machine learning.(2) The research focus in each country is related with the country-specific disasters or economic costs caused by landslides to some degree. In addition to Italy and the USA, China is the country most commonly affected by landslides, and it should develop its own landslide database and complete in-depth studies of disaster mitigation.
引文
Anbazhagan S,Ramesh V(2014)Landslide hazard zonation mapping in ghat road section of Kolli hills,India.Journal of Mountain Science 11(5):1308-1325.https://doi.org/10.1007/s11629-012-2618-9
Ayalew L(2005)The application of GIS-based logistic regression for landslides susceptibility mapping In the Kakuda-Yahiko Mountains,Central Japan.Geomorphology64:15-31.https://doi.org/10.1016/j.geomorph.2004.06.010
Bichler A,VanDine D,and Bobrowsky P(2004)Landslide hazard and risk mapping-a review and classification.GeoEngineering for the Society and its Environment.57th Canadian Geotechnical Conference and the 5th joint CGS-IAHConference.Hilton Quebec Hotel,Old Quebex.
Borgatti L and Soldati M(2010)Landslides as a geomorphological proxy for climate change:a record from the Dolomites(northern Italy).Geomorphology 120(1-2):56-64.https://doi.org/10.1016/j.geomorph.2009.09.015
Butler DR(1979)Snow Avalanche path terrain and Vegetation,Glacier National Park,Montana.Arctic and Alpine Research11(1):17-32.https://doi.org/10.1080/00040851.1979.12004114
Caien N(1980)The rainfall intensity-duration control of shallow landslides and debris flows.Physical Geography 62:23-27.https://doi.org/10.1080/04353676.1980.11879996
Carrara A(1991)GIS techniques and statistical models in evaluating landslides hazard.Earth Surface Processes and Landforms 16:427-445.https://doi.org/10.1002/esp.3290160505
Chen CM(2004a)CitespaceII:Detecting and visualizing emerging trends and transient patterns in scientific literature.Journal of the American Society for Information Science and Technology 57:359-377.https://doi.org/10.1002/asi.20317
Chen CM(2004b)Searching for intellectual turning points:Progressive knowledge domain visualization.PNAS 101:5303-5310.https://doi.org/10.1073/pnas.0307513100
Chiu WT,Ho YS(2007)Bibliometric analysis of tsunami research.Scientometrics 73:3-17.https://doi.org/10.1007/s11192-005-1523-1
Crozier MJ(1986)Landslides-cause,consequences and environments.Geography 72:83-83.https://doi.org/10.1080/03036758.1988.10429158
Crozier MJ(2010)Deciphering the effect of climate change on landslide activity:A review.Geomorphology 124(3-4):260-267.https://doi.org/10.1016/j.geomorph.2010.04.009
Cutter SL,Boruff BJ,Shirley WL(2003).Social vulnerability to environmental hazards.Social Science Quarterly 84:242-261.
Dai FC,Lee CF,Ngai YY(2002).Landslides risk assessment and management:an overview.Engineering Geology 64:65-87.https://doi.org/10.1016/S0013-7952(01)00093-X
Davies TRH(1981)Spreading of rock avalanche debris by mechanical fluidization.Rock Mechanics 15:9-24.
Devoli G,Strauch W,Chávez G,et al.(2007)A landslide database for Nicaragua:a tool for landslide-hazard management.Landslides 4(2):163-176.https://doi.org/10.1007/s10346-006-0074-8
Dikau R(1996).Databases and GIS for landslides research in Europe.Geomorphology 15:227-239.https://doi.org/10.1016/0169-555X(95)00072-D
Gall M,Nguyen KH,Cutter SL(2015).Integrated research on disaster risk:Is it really integrated?International Journal of Disaster Reduction 12:255-267.https://doi.org/10.1016/j.ijdrr.2015.01.010
Goetz JN,Brenning A,Petschko H,et al.(2015)Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling.Computers&Geosciences81:1-11.https://doi.org/10.1016/j.cageo.2015.04.007
Gorum T,Fan XM,Westen CJV(2011)Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008Wenchuan earthquake.Geomorphology 133:152-167.https://doi.org/10.1016/j.geomorph.2010.12.030
Guzzetti F,Carrara A,Cardinali M(1999)Landslides hazard evaluation:a review of current techniques and their application in a multi-scale study,Central Italy.Geomorphology 31:181-216.https://doi.org/10.1016/S0169-555X(99)00078-1
Guzzetti F,Mondini AC,Cardinali M,et al.(2012)Landslides inventory map:new tools for an old problem.Earth-science Review 112:42-66.https://doi.org/10.1016/j.earscirev.2012.02.001
Inversion RM,Schilling SP,Vallance JW(1998)Objective delineation of lahar-inundation hazard zones.GSA Bulletin110:972-984.https://doi.org/10.1130/0016-7606(1998)110
Kirschbaum DB,Adler R,Hong Y,et al.(2010)A global landslide catalog for hazard applications:method,results,and limitations.Natural Hazards 52(3):561-575.https://doi.org/10.1007/s11069-009-9401-4
Kjekstad O,Highland L(2009)Economic and social impacts of landslides.In:Landslides-Disaster Risk Reduction.Springer,Berlin,Heidelberg.pp 573-587.
Lee S,Ryu JH,Won JS(2004)Determination and application of the weights for landslides susceptibility mapping using an artificial neural network.Engineering Geology 71:289-302.https://doi.org/10.1016/S0013-7952(03)00142-X
Li L,Liu Y,Zhu HH,et al.(2017)A bibliometric and visual analysis of global geo-ontology research.Computers&Geosciences 99:1-8.https://doi.org/10.1016/j.cageo.2016.10.006
Li WL,Huang RQ,Tang C,et al.(2013)Co-seismic landslide inventory and susceptibility mapping in the 2008 Wenchuan earthquake disaster area,China.Journal of Mountain Science10(3).https://doi.org/10.1007/s11629-013-2471-5
Liu XL(2002)An overview of foreign debris flow mechanism models.Journal of Catastrophology 17:1-6.(In Chinese)
Liu ZG,Yin YM,Liu WD(2015)Visualizing the intellectual and evolution of innovation systems research:a bibbiometric analysis.Scientometrics 103:135-158.https://doi.org/10.1007/s11192-014-1517-y
Nadim F,Kjekstad O,Peduzzi P(2006)Global landslide and avalanche hotspots.Landslides 3:159-173.https://doi.org/10.1007/s10346-006-0036-1
Parsons T,Geist EL(2014)The 2010-2014.3 global earthquake rate increase.Geophysical Research Letters 41(13):4479-4485.https://doi.org/10.1002/2014GL060513
Petley DN,Dunning SA,Rosser NJ,et al.(2005)The analysis of global landslide risk through the creation of a database of worldwide landslide fatalities.Landslide risk management.Balkema,Amsterdam.pp 367-374.
Shen S,Cheng CX,Yang J,et al.(2018).Visualized analysis of developing trends and hot topics in natural disaster research.PLoS one 13(1):e0191250.https://doi.org/10.1371/journal.pone.0191250
Shen S,Cheng CX,Song CQ,et al.(2018)Spatial distribution patterns of global natural disasters based on biclustering.Natural Hazards:92(3)1809-1820.https://doi.org/10.1007/s11069-018-3279-y
Ta?km Z,Aydunoglu AU(2015)Collaborative interdisciplinary astrobiology research:a bibliometric study of the NASAastrobiology institute.Scientometrics 103:1003-1022.https://doi.org/10.1007/s11192-015-1576-8
Tian YG,Wen C,Hong S(2008)Global scientific production on GIS research by bibliometric analysis from 1997 to2006.Journal of Informetrics 2(1):65-74.https://doi.org/10.1016/j.joi.2007.10.001
Turner AK(2018)Social and environmental impacts of landslides.Innovative Infrastructure Solutions 3(1):70.https://doi.org/10.1007/s41062-018-0175-y
Van DEM,Hervás J(2012)State of the art of national landslide databases in Europe and their potential for assessing landslide susceptibility,hazard and risk.Geomorphology 139:545-558.https://doi.org/10.1016/j.geomorph.2011.12.006
Van WCJ,Castellanos E,Kuriakose SK(2008)Spatial data for landslide susceptibility,hazard,and vulnerability assessment:an overview.Engineering geology 102(3-4):112-131.https://doi.org/10.1016/j.enggeo.2008.03.010
Wu XL,Chen XY,Zhan FB,et al.(2015)Global research trends in landslides during 1991-2014:a bibliometric analysis.Landslides 12(6):1215-1226.https://doi.org/10.1007/s10346-015-0624-z
Wu Y,Duan ZG(2015)Analysis on evolution and research focus in psychiatry field.BMC Psychiatry 15:105-119.https://doi.org/10.1186/s12888-015-0482-1
Yin Y,Wang F,Sun P(2009)Landslide hazards triggered by the2008 Wenchuan earthquake,Sichuan,China.Landslides 6(2):139-152.https://doi.org/10.1007/s10346-009-0148-5
Yu DJ(2015)A scientometrics review on aggregation operator research.Scientometrics 105:115-133.https://doi.org/10.1007/s11192-015-1695-2
Zhou JW,Cui P,Yang XG,et al.(2013)Debris flows introduced in landslide deposits under rainfall conditions:the case of Wenjiagou gully.Journal of Mountain Science 10(2):249-260.https://doi.org/10.1007/s11629-013-2492-0
Ayalew L(2005)The application of GIS-based logistic regression for landslides susceptibility mapping In the Kakuda-Yahiko Mountains,Central Japan.Geomorphology64:15-31.https://doi.org/10.1016/j.geomorph.2004.06.010
Bichler A,VanDine D,and Bobrowsky P(2004)Landslide hazard and risk mapping-a review and classification.GeoEngineering for the Society and its Environment.57th Canadian Geotechnical Conference and the 5th joint CGS-IAHConference.Hilton Quebec Hotel,Old Quebex.
Borgatti L and Soldati M(2010)Landslides as a geomorphological proxy for climate change:a record from the Dolomites(northern Italy).Geomorphology 120(1-2):56-64.https://doi.org/10.1016/j.geomorph.2009.09.015
Butler DR(1979)Snow Avalanche path terrain and Vegetation,Glacier National Park,Montana.Arctic and Alpine Research11(1):17-32.https://doi.org/10.1080/00040851.1979.12004114
Caien N(1980)The rainfall intensity-duration control of shallow landslides and debris flows.Physical Geography 62:23-27.https://doi.org/10.1080/04353676.1980.11879996
Carrara A(1991)GIS techniques and statistical models in evaluating landslides hazard.Earth Surface Processes and Landforms 16:427-445.https://doi.org/10.1002/esp.3290160505
Chen CM(2004a)CitespaceII:Detecting and visualizing emerging trends and transient patterns in scientific literature.Journal of the American Society for Information Science and Technology 57:359-377.https://doi.org/10.1002/asi.20317
Chen CM(2004b)Searching for intellectual turning points:Progressive knowledge domain visualization.PNAS 101:5303-5310.https://doi.org/10.1073/pnas.0307513100
Chiu WT,Ho YS(2007)Bibliometric analysis of tsunami research.Scientometrics 73:3-17.https://doi.org/10.1007/s11192-005-1523-1
Crozier MJ(1986)Landslides-cause,consequences and environments.Geography 72:83-83.https://doi.org/10.1080/03036758.1988.10429158
Crozier MJ(2010)Deciphering the effect of climate change on landslide activity:A review.Geomorphology 124(3-4):260-267.https://doi.org/10.1016/j.geomorph.2010.04.009
Cutter SL,Boruff BJ,Shirley WL(2003).Social vulnerability to environmental hazards.Social Science Quarterly 84:242-261.
Dai FC,Lee CF,Ngai YY(2002).Landslides risk assessment and management:an overview.Engineering Geology 64:65-87.https://doi.org/10.1016/S0013-7952(01)00093-X
Davies TRH(1981)Spreading of rock avalanche debris by mechanical fluidization.Rock Mechanics 15:9-24.
Devoli G,Strauch W,Chávez G,et al.(2007)A landslide database for Nicaragua:a tool for landslide-hazard management.Landslides 4(2):163-176.https://doi.org/10.1007/s10346-006-0074-8
Dikau R(1996).Databases and GIS for landslides research in Europe.Geomorphology 15:227-239.https://doi.org/10.1016/0169-555X(95)00072-D
Gall M,Nguyen KH,Cutter SL(2015).Integrated research on disaster risk:Is it really integrated?International Journal of Disaster Reduction 12:255-267.https://doi.org/10.1016/j.ijdrr.2015.01.010
Goetz JN,Brenning A,Petschko H,et al.(2015)Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling.Computers&Geosciences81:1-11.https://doi.org/10.1016/j.cageo.2015.04.007
Gorum T,Fan XM,Westen CJV(2011)Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008Wenchuan earthquake.Geomorphology 133:152-167.https://doi.org/10.1016/j.geomorph.2010.12.030
Guzzetti F,Carrara A,Cardinali M(1999)Landslides hazard evaluation:a review of current techniques and their application in a multi-scale study,Central Italy.Geomorphology 31:181-216.https://doi.org/10.1016/S0169-555X(99)00078-1
Guzzetti F,Mondini AC,Cardinali M,et al.(2012)Landslides inventory map:new tools for an old problem.Earth-science Review 112:42-66.https://doi.org/10.1016/j.earscirev.2012.02.001
Inversion RM,Schilling SP,Vallance JW(1998)Objective delineation of lahar-inundation hazard zones.GSA Bulletin110:972-984.https://doi.org/10.1130/0016-7606(1998)110
Kirschbaum DB,Adler R,Hong Y,et al.(2010)A global landslide catalog for hazard applications:method,results,and limitations.Natural Hazards 52(3):561-575.https://doi.org/10.1007/s11069-009-9401-4
Kjekstad O,Highland L(2009)Economic and social impacts of landslides.In:Landslides-Disaster Risk Reduction.Springer,Berlin,Heidelberg.pp 573-587.
Lee S,Ryu JH,Won JS(2004)Determination and application of the weights for landslides susceptibility mapping using an artificial neural network.Engineering Geology 71:289-302.https://doi.org/10.1016/S0013-7952(03)00142-X
Li L,Liu Y,Zhu HH,et al.(2017)A bibliometric and visual analysis of global geo-ontology research.Computers&Geosciences 99:1-8.https://doi.org/10.1016/j.cageo.2016.10.006
Li WL,Huang RQ,Tang C,et al.(2013)Co-seismic landslide inventory and susceptibility mapping in the 2008 Wenchuan earthquake disaster area,China.Journal of Mountain Science10(3).https://doi.org/10.1007/s11629-013-2471-5
Liu XL(2002)An overview of foreign debris flow mechanism models.Journal of Catastrophology 17:1-6.(In Chinese)
Liu ZG,Yin YM,Liu WD(2015)Visualizing the intellectual and evolution of innovation systems research:a bibbiometric analysis.Scientometrics 103:135-158.https://doi.org/10.1007/s11192-014-1517-y
Nadim F,Kjekstad O,Peduzzi P(2006)Global landslide and avalanche hotspots.Landslides 3:159-173.https://doi.org/10.1007/s10346-006-0036-1
Parsons T,Geist EL(2014)The 2010-2014.3 global earthquake rate increase.Geophysical Research Letters 41(13):4479-4485.https://doi.org/10.1002/2014GL060513
Petley DN,Dunning SA,Rosser NJ,et al.(2005)The analysis of global landslide risk through the creation of a database of worldwide landslide fatalities.Landslide risk management.Balkema,Amsterdam.pp 367-374.
Shen S,Cheng CX,Yang J,et al.(2018).Visualized analysis of developing trends and hot topics in natural disaster research.PLoS one 13(1):e0191250.https://doi.org/10.1371/journal.pone.0191250
Shen S,Cheng CX,Song CQ,et al.(2018)Spatial distribution patterns of global natural disasters based on biclustering.Natural Hazards:92(3)1809-1820.https://doi.org/10.1007/s11069-018-3279-y
Ta?km Z,Aydunoglu AU(2015)Collaborative interdisciplinary astrobiology research:a bibliometric study of the NASAastrobiology institute.Scientometrics 103:1003-1022.https://doi.org/10.1007/s11192-015-1576-8
Tian YG,Wen C,Hong S(2008)Global scientific production on GIS research by bibliometric analysis from 1997 to2006.Journal of Informetrics 2(1):65-74.https://doi.org/10.1016/j.joi.2007.10.001
Turner AK(2018)Social and environmental impacts of landslides.Innovative Infrastructure Solutions 3(1):70.https://doi.org/10.1007/s41062-018-0175-y
Van DEM,Hervás J(2012)State of the art of national landslide databases in Europe and their potential for assessing landslide susceptibility,hazard and risk.Geomorphology 139:545-558.https://doi.org/10.1016/j.geomorph.2011.12.006
Van WCJ,Castellanos E,Kuriakose SK(2008)Spatial data for landslide susceptibility,hazard,and vulnerability assessment:an overview.Engineering geology 102(3-4):112-131.https://doi.org/10.1016/j.enggeo.2008.03.010
Wu XL,Chen XY,Zhan FB,et al.(2015)Global research trends in landslides during 1991-2014:a bibliometric analysis.Landslides 12(6):1215-1226.https://doi.org/10.1007/s10346-015-0624-z
Wu Y,Duan ZG(2015)Analysis on evolution and research focus in psychiatry field.BMC Psychiatry 15:105-119.https://doi.org/10.1186/s12888-015-0482-1
Yin Y,Wang F,Sun P(2009)Landslide hazards triggered by the2008 Wenchuan earthquake,Sichuan,China.Landslides 6(2):139-152.https://doi.org/10.1007/s10346-009-0148-5
Yu DJ(2015)A scientometrics review on aggregation operator research.Scientometrics 105:115-133.https://doi.org/10.1007/s11192-015-1695-2
Zhou JW,Cui P,Yang XG,et al.(2013)Debris flows introduced in landslide deposits under rainfall conditions:the case of Wenjiagou gully.Journal of Mountain Science 10(2):249-260.https://doi.org/10.1007/s11629-013-2492-0