The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
How can statistical models help to determine driving factors of landslides?
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Model selection and multimodel inference: a practical information-theoretic approach.
Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management · doi:10.2307/3802723 · Cited by 41,495
Greedy function approximation: A gradient boosting machine
Friedman, J. H. (2001) · The Annals of Statistics · doi:10.1214/aos/1013203451 · Cited by 30,731
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Maximum entropy modeling of species geographic distributions
Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2005.03.026 · Cited by 15,396
Information theory and statistical mechanics
Jaynes, E. T. (1957) · Physical Review · doi:10.1103/physrev.106.620 · Cited by 12,931
Robust Locally Weighted Regression and Smoothing Scatterplots
Cleveland, W. S. (1979) · Journal of the American Statistical Association · doi:10.1080/01621459.1979.10481038 · Cited by 11,594
Measuring the Accuracy of Diagnostic Systems
Swets, J. A. (1988) · Science · doi:10.1126/science.3287615 · Cited by 10,058
Classification and regression trees
Praagman, J. (1985) · European Journal of Operational Research · doi:10.1016/0377-2217(85)90321-2 · Cited by 10,053
Connell, J. H. (1978) · Science · doi:10.1126/science.199.4335.1302 · Cited by 9,417
Novel methods improve prediction of species’ distributions from occurrence data
Elith*, J., H. Graham*, C., P. Anderson, R., Dudík, M., Ferrier, S., Guisan, A., J. Hijmans, R., Huettmann, F., R. Leathwick, J., Lehmann, A., et al. (2006) · Ecography · doi:10.1111/j.2006.0906-7590.04596.x · Cited by 9,088
Brown, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Biometrics · doi:10.2307/2532174 · Cited by 8,176
Multivariate Adaptive Regression Splines
Friedman, J. H. (1991) · The Annals of Statistics · doi:10.1214/aos/1176347963 · Cited by 8,000
Koyak, R. A., Hastie, T. J., & Tibshirani, R. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2290538 · Cited by 7,596
The random subspace method for constructing decision forests
Ho, T. K. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.709601 · Cited by 6,842
BEVEN, K. J., & KIRKBY, M. J. (1979) · Hydrological Sciences Bulletin · doi:10.1080/02626667909491834 · Cited by 6,670
A working guide to boosted regression trees
Elith, J., Leathwick, J. R., & Hastie, T. (2008) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2008.01390.x · Cited by 6,484
Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
Phillips, S. J., & Dudík, M. (2008) · Ecography · doi:10.1111/j.0906-7590.2008.5203.x · Cited by 5,890
A physically based, variable contributing area model of basin hydrology
Kirkby, M. J., & Beven, K. (1979) · Lancaster EPrints (Lancaster University) · Cited by 3,962
Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
Moore, I. D., Grayson, R. B., & Ladson, A. R. (1991) · Hydrological Processes · doi:10.1002/hyp.3360050103 · Cited by 3,466
A maximum entropy approach to species distribution modeling
Phillips, S. J., Dudík, M., & Schapire, R. E. (2004) · Twenty-first international conference on Machine learning - ICML '04 · doi:10.1145/1015330.1015412 · Cited by 2,252
An approach to the sediment transport problem from general physics
Bagnold, R. A. (1966) · Professional Paper · doi:10.3133/pp422i · Cited by 2,214
A physically based model for the topographic control on shallow landsliding
Montgomery, D. R., & Dietrich, W. E. (1994) · Water Resources Research · doi:10.1029/93wr02979 · Cited by 1,714
Landslide risk assessment and management: an overview
Dai, F. C., Lee, C. F., & Ngai, Y. Y. (2002) · Engineering Geology · doi:10.1016/s0013-7952(01)00093-x · Cited by 1,579
Terrain Analysis: Principles and Applications
Meyer, T. H. (2001) · Ecological Engineering · doi:10.1016/s0925-8574(00)00178-6 · Cited by 1,462
Terrain analysis : principles and applications
Wilson, J. P., & Gallant, J. (2000) · Wiley eBooks · Cited by 1,145
Strength of tree roots and landslides on Prince of Wales Island, Alaska
Wu, T. H., McKinnell III, W. P., & Swanston, D. N. (1979) · Canadian Geotechnical Journal · doi:10.1139/t79-003 · Cited by 944
GLM versus CCA spatial modeling of plant species distribution
Guisan, A., Weiss, S. B., & Weiss, A. D. (1999) · Plant Ecology · doi:10.1023/a:1009841519580 · Cited by 856
Calculating catchment area with divergent flow based on a regular grid
Freeman, T. G. (1991) · Computers & Geosciences · doi:10.1016/0098-3004(91)90048-i · Cited by 783
Spatial prediction models for landslide hazards: review, comparison and evaluation
Brenning, A. (2005) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-5-853-2005 · Cited by 676
A Distributed Slope Stability Model for Steep Forested Basins
Wu, W., & Sidle, R. C. (1995) · Water Resources Research · doi:10.1029/95wr01136 · Cited by 657
PresenceAbsence : An R Package for Presence Absence Analysis
Freeman, E. A., & Moisen, G. (2008) · Journal of Statistical Software · doi:10.18637/jss.v023.i11 · Cited by 461
Interpolation by regularized spline with tension: I. Theory and implementation
Helena Mitasova, A., & Mitáš, L. (1993) · Mathematical Geology · doi:10.1007/bf00893171 · Cited by 444
Disturbing hypotheses in tropical forests
Sheil, D., & Burslem, D. F. R. P. (2003) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(02)00005-8 · Cited by 333
Moisen, G. G., Freeman, E. A., Blackard, J. A., Frescino, T. S., Zimmermann, N. E., & Edwards, T. C. (2006) · Ecological Modelling · doi:10.1016/j.ecolmodel.2006.05.021 · Cited by 272
Large altitudinal increase in tree root/shoot ratio in tropical mountain forests of Ecuador
Leuschner, C., Moser, G. M., Bertsch, C., Röderstein, M., & Hertel, D. (2006) · Basic and Applied Ecology · doi:10.1016/j.baae.2006.02.004 · Cited by 268
The frequency and distribution of recent landslides in three montane tropical regions of Puerto Rico
Larsen, M. C., & Torres-Sánchez, A. J. (1998) · Geomorphology · doi:10.1016/s0169-555x(98)00023-3 · Cited by 212
POC plots: calibrating species distribution models with presence‐only data
Phillips, S. J., & Elith, J. (2010) · Ecology · doi:10.1890/09-0760.1 · Cited by 191
Zurell, D., Jeltsch, F., Dormann, C. F., & Schröder, B. (2009) · Ecography · doi:10.1111/j.1600-0587.2009.05810.x · Cited by 163
Self-citationConstrain to perform: Regularization of habitat models
Reineking, B., & der, B. S. (2005) · Ecological Modelling · doi:10.1016/j.ecolmodel.2005.10.003 · Cited by 149
Quantifying source areas through land surface curvature and shape
Heerdegen, R. G., & Beran, M. A. (1982) · Journal of Hydrology · doi:10.1016/0022-1694(82)90155-x · Cited by 100
Reasons for an outstanding plant diversity in the tropical Andes of Southern Ecuador
Richter, M., Diertl, K., Emck, P., Peters, T., & Beck, E. H. (2009) · Landscape Online · doi:10.3097/lo.200912 · Cited by 97
Soethe, N., Lehmann, J. C., & Engels, C. (2006) · Plant and Soil · doi:10.1007/s11104-006-9044-0 · Cited by 84
Claessens, L., Verburg, P. H., Schoorl, J. M., & Veldkamp, A. (2006) · Landscape Ecology · doi:10.1007/s10980-005-5769-z · Cited by 75
Soethe, N., Lehmann, J. C., & Engels, C. (2006) · Plant and Soil · doi:10.1007/s11104-005-1005-5 · Cited by 55
PresenceAbsence: An R Package for Presence Absence Analysis
Freeman, E. A., Service, U. F., Moisen, G. G., et al. (2007) · Cited by 48
Landslides as Important Disturbance Regimes — Causes and Regeneration
Bussmann, R. W., Wilcke, W., & Richter, M. (2008) · Ecological studies · doi:10.1007/978-3-540-73526-7_31 · Cited by 37
Predicting the species composition of Nardus stricta communities by logistic regression modelling
Peppler‐Lisbach, C., & Schröder, B. (2004) · Journal of Vegetation Science · doi:10.1658/1100-9233(2004)015[0623:ptscon]2.0.co;2 · Cited by 33
Self-citationDetermination of drainage network in digital elevation models, utilities and limitations
Kiss, R. (2004) · Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) · Cited by 33
Predicting the species composition of Nardus stricta communities by logistic regression modelling
Peppler‐Lisbach, C., & Schröder, B. (2004) · Journal of Vegetation Science · doi:10.1111/j.1654-1103.2004.tb02304.x · Cited by 30
Self-citation
Cited by
A review of statistically-based landslide susceptibility models
Reichenbach, P., Rossi, M., Malamud, B. D., Mihir, M., & Guzzetti, F. (2018) · Earth-Science Reviews · doi:10.1016/j.earscirev.2018.03.001 · Cited by 2,347
Tien Bui, D., Tuan, T. A., Klempe, H., Pradhan, B., & Revhaug, I. (2016) · Landslides · doi:10.1007/s10346-015-0557-6 · Cited by 1,253
Chen, W., Xie, X., Wang, J., Pradhan, B., Hong, H., Bui, D. T., Duan, Z., & Ma, J. (2017) · CATENA · doi:10.1016/j.catena.2016.11.032 · Cited by 930
Youssef, A. M., Pourghasemi, H. R., Pourtaghi, Z. S., & Al-Katheeri, M. M. (2016) · Landslides · doi:10.1007/s10346-015-0614-1 · Cited by 770
Landslide susceptibility estimation by random forests technique: sensitivity and scaling issues
Catani, F., Lagomarsino, D., Segoni, S., & Tofani, V. (2013) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-13-2815-2013 · Cited by 695
Metadata
- Authors
- Vorpahl, P., Elsenbeer, H., Märker, M., & Schröder, B.
- Venue
- Ecological Modelling
- Publisher
- Elsevier BV
- Published
- 2012-07
- Volume
- 239
- Pages
- 27-39
- ISSN
- 0304-3800 (ISSN-L)
- OpenAlex
- W2086063614
- Cited by
- 320
- References
- 53
- FWCI
- 39.28
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.