Global research trends in landslides during 1991–2014: a bibliometric analysis

Wu, Xueling; Chen, Xueye; Zhan, F. Benjamin; Hong, Su Young

doi:10.1007/s10346-015-0624-z

Cited by 97 publications

(69 citation statements)

References 47 publications

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“…and Ho, 2007;Liu et al, 2012;Wu et al, 2015). While the amount of research on GLOFs has gradually increased over the past few decades (see Emmer et al, 2016), detailed insight into the GLOF research community, its global bibliometrics and geographies of research is missing.…”

Section: A Emmer: Glofs In the Wosmentioning

confidence: 99%

GLOFs in the WOS: bibliometrics, geographies and global trends of research on glacial lake outburst floods (Web of Science, 1979–2016)

Emmer

2018

Nat. Hazards Earth Syst. Sci.

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Abstract. Research on glacial lake outburst floods (GLOFs) -specific low-frequency, high-magnitude floods originating in glacial lakes, including jökulhlaups -is well justified in the context of glacier ice loss and glacial lake evolution in glacierized areas all over the world. Increasing GLOF research activities, which are documented by the increasing number of published research items, have been observed in the past few decades; however, comprehensive insight into the GLOF research community, its global bibliometrics, geographies and trends in research is missing. To fill this gap, a set of 892 GLOF research items published in the Web of Science database covering the period 1979-2016 was analysed. General bibliometric characteristics, citations and references were analysed, revealing a certain change in the publishing paradigm over time. Furthermore, the global geographies of research on GLOFs were studied, focusing on (i) where GLOFs are studied, (ii) who studies GLOFs, (iii) the export of research on GLOFs and (iv) international collaboration. The observed trends and links to the challenges ahead are discussed and placed in a broader context.

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Section: A Emmer: Glofs In the Wosmentioning

confidence: 99%

GLOFs in the WOS: bibliometrics, geographies and global trends of research on glacial lake outburst floods (Web of Science, 1979–2016)

Emmer

2018

Nat. Hazards Earth Syst. Sci.

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“…Logistic regression is probably the most widely used classifier to generate landslide susceptibility maps (Wu et al, 2015). Many studies confirmed its high suitability for the analysis of landslide susceptibility due to its ability to predict a binary response variable (absence and presence of landslides) using both, continuously and categorically scaled predictors while ensuring a high generalizability, interpretability and smooth prediction surfaces Felicísimo et al, 2013;Goetz et al, 2015a;Van Den Eeckhaut et al, 2006).…”

Section: Logistic Regression and Odds Ratiosmentioning

confidence: 99%

“…The analysis of landslide susceptibility has been a highly active research topic during the past decades (Wu et al, 2015). The term landslide susceptibility refers to the likelihood of a certain location to be affected by upcoming landslides without taking into account the potential temporal occurrence or magnitude of landslide events (Brabb, 1984;Corominas et al, 2013;Fell et al, 2008;Guzzetti et al, 1999Guzzetti et al, , 2005.…”

Section: Introductionmentioning

confidence: 99%

The propagation of inventory-based positional errors into statistical landslide susceptibility models

Steger

Brenning

Bell

et al. 2016

Nat. Hazards Earth Syst. Sci.

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Abstract. There is unanimous agreement that a precise spatial representation of past landslide occurrences is a prerequisite to produce high quality statistical landslide susceptibility models. Even though perfectly accurate landslide inventories rarely exist, investigations of how landslide inventory-based errors propagate into subsequent statistical landslide susceptibility models are scarce.The main objective of this research was to systematically examine whether and how inventory-based positional inaccuracies of different magnitudes influence modelled relationships, validation results, variable importance and the visual appearance of landslide susceptibility maps. The study was conducted for a landslide-prone site located in the districts of Amstetten and Waidhofen an der Ybbs, eastern Austria, where an earth-slide point inventory was available.The methodological approach comprised an artificial introduction of inventory-based positional errors into the present landslide data set and an in-depth evaluation of subsequent modelling results. Positional errors were introduced by artificially changing the original landslide position by a mean distance of 5, 10, 20, 50 and 120 m. The resulting differently precise response variables were separately used to train logistic regression models. Odds ratios of predictor variables provided insights into modelled relationships. Crossvalidation and spatial cross-validation enabled an assessment of predictive performances and permutation-based variable importance. All analyses were additionally carried out with synthetically generated data sets to further verify the findings under rather controlled conditions.The results revealed that an increasing positional inventory-based error was generally related to increasing distortions of modelling and validation results. However, the findings also highlighted that interdependencies between inventory-based spatial inaccuracies and statistical landslide susceptibility models are complex. The systematic comparisons of 12 models provided valuable evidence that the respective error-propagation was not only determined by the degree of positional inaccuracy inherent in the landslide data, but also by the spatial representation of landslides and the environment, landslide magnitude, the characteristics of the study area, the selected classification method and an interplay of predictors within multiple variable models. Based on the results, we deduced that a direct propagation of minor to moderate inventory-based positional errors into modelling results can be partly counteracted by adapting the modelling design (e.g. generalization of input data, opting for strongly generalizing classifiers). Since positional errors within landslide inventories are common and subsequent modelling and validation results are likely to be distorted, the potential existence of inventory-based positional inaccuracies should always be considered when assessing landslide susceptibility by means of empirical models.

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“…P o s i s i A s i a d a l a m k o n s o r s i u m i l m i a h internasional hingga kini memang layak diperhitungkan. Jejaknya di sejumlah kajian bibliometrik lingkungan selalu paling dekat dengan sang juara Eropa (Liu et al, 2016:757;Mao et al, 2015Mao et al, :1826Wu et al, 2015Wu et al, :1220Ji et al, 2014Ji et al, :1930Niu et al, 2014:517;Xu et al, 2013:86;Wang et al, 2014:857;2013:39;Zhuang et al, 2013:210). Sepertinya Asia akan selalu menjadi kekuatan penyeimbang Eropa dan Indonesia bisa berbuat andil didalamnya.…”

Section: Kolaborator Riset Indonesiaunclassified

Kerja Sama Studi Bidang Lingkungan: Potret Indonesia di Terbitan Berkala Ilmiah ScienceDirect

Himawanto¹

2017

Berkala Ilmu Perpustakaan dan Informasi

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ABSTRAKProblem lingkungan nasional mencetuskan solidaritas untuk membangun kolaborasi riset berkelanjutan. Sebagai bentuk penyelesaian, penyebarluasan hasil-hasil risetnya seperti yang terpublikasi pada jurnal internasional ScienceDirect, menjadi alasan perlunya kajian ini dilakukan. Untuk menganalisis indikator tertentu dari tren risetnya sejak 2006-2015 digunakan bibliometrik. Tujuannya untuk menginvestigasi kekuatan, pertumbuhan, dan karakter kolaborasi, termasuk kolaborator Indonesia menurut geografisnya. Hasilnya, jumlah kolaborasi terkait lingkungan nasional mencapai 90% dari 338 produk yang diperoleh. Evolusinya berfluktuasi namun cenderung naik dengan pertumbuhan rata-rata 36.07%. Indonesia mendominasi jumlah kooperasi dan sepertiga lebihnya dihasilkan dari koalisi antar negara. Kuatnya pengaruh Indonesia disebabkan peran 41 institusi nasional dan empat diantaranya amat menonjol yaitu IPB, UNDIP, UGM, serta UI. Menurut wilayah geografisnya, kontributor produktif bermukim di Jawa Barat, DKI Jakarta, Jawa Tengah, dan ketiganya termasuk zona kompeten dalam mengendalikan kolaborasi internasional. Kolega nasional berjumlah 28 negara dan mayoritas kolaborator teraktif, tidak asing lagi dalam mendukung riset Indonesia. Melihat hal tersebut, isu-isu lingkungan lokal potensial dijadikan aset kerja sama dengan para kolaborator, khususnya yang berlokasi di Asia. Dari hasil kajian ini periset nasional diharapkan terdorong membangun kemitraan untuk menaikan jumlah publikasi di jurnal internasional sekaligus menyelesaikan persoalan lingkungan dalam negerinya.

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Global research trends in landslides during 1991–2014: a bibliometric analysis

Cited by 97 publications

References 47 publications

GLOFs in the WOS: bibliometrics, geographies and global trends of research on glacial lake outburst floods (Web of Science, 1979–2016)

GLOFs in the WOS: bibliometrics, geographies and global trends of research on glacial lake outburst floods (Web of Science, 1979–2016)

The propagation of inventory-based positional errors into statistical landslide susceptibility models

Kerja Sama Studi Bidang Lingkungan: Potret Indonesia di Terbitan Berkala Ilmiah ScienceDirect

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