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An evolutionary approach for spatial prediction of landslide susceptibility using LiDAR and symbolic classification with genetic programming.
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- Natural Hazards, 2021, v. 108, n. 2, p. 2283, doi. 10.1007/s11069-021-04780-z
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- Article
Seasonal hydrological loading from GPS observed data across contiguous USA using integrated R and Hadoop-GIS framework.
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- Arabian Journal of Geosciences, 2021, v. 14, n. 5, p. 1, doi. 10.1007/s12517-021-06746-8
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Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio.
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- Landslides, 2016, v. 13, n. 3, p. 467, doi. 10.1007/s10346-015-0587-0
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Regional non-hazardous landfill site selection by integrating fuzzy logic, AHP and geographic information systems.
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- Environmental Earth Sciences, 2012, v. 67, n. 1, p. 121, doi. 10.1007/s12665-011-1485-y
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Spatial Prediction of Landslide Hazard Using Logistic Regression and ROC Analysis.
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- Transactions in GIS, 2006, v. 10, n. 3, p. 395, doi. 10.1111/j.1467-9671.2006.01004.x
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Spatial Prediction of Landslide Hazard Using Fuzzy k-means and Dempster-Shafer Theory.
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- Transactions in GIS, 2005, v. 9, n. 4, p. 455, doi. 10.1111/j.1467-9671.2005.00229.x
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Integrating a fuzzy k-means classification and a Bayesian approach for spatial prediction of landslide hazard.
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- Journal of Geographical Systems, 2003, v. 5, n. 3, p. 223, doi. 10.1007/s10109-003-0113-0
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