The ConMap approach for terrain‐based digital soil mapping
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T. Behrens | A. Zhu | K. Schmidt | T. Scholten | T B E H R E N S | K S C H M I D T | A X Z H U | T S C H O L T E N | Thomas Scholten | A-Xing Zhu
[1] H. Elsenbeer,et al. Soil organic carbon concentrations and stocks on Barro Colorado Island — Digital soil mapping using Random Forests analysis , 2008 .
[2] Alejandra Rodríguez,et al. Automated knowledge-based analysis and classification of stellar spectra using fuzzy reasoning , 2004, Expert Syst. Appl..
[3] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[4] Joseph. Wood,et al. The geomorphological characterisation of Digital Elevation Models , 1996 .
[5] Budiman Minasny,et al. Chapter 21 Soil Prediction with Spatially Decomposed Environmental Factors , 2006 .
[6] Dominique Arrouays,et al. Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context , 2008 .
[7] Bernard De Baets,et al. Random forests as a tool for predictive ecohydrological modelling , 2005 .
[8] C. Thorne,et al. Quantitative analysis of land surface topography , 1987 .
[9] R. Olea. Geostatistics for Natural Resources Evaluation By Pierre Goovaerts, Oxford University Press, Applied Geostatistics Series, 1997, 483 p., hardcover, $65 (U.S.), ISBN 0-19-511538-4 , 1999 .
[10] A-Xing Zhu,et al. Soil Mapping Using GIS, Expert Knowledge, and Fuzzy Logic , 2001 .
[11] Budiman Minasny,et al. On digital soil mapping , 2003 .
[12] D. R. Cutler,et al. Utah State University From the SelectedWorks of , 2017 .
[13] A. Papritz,et al. An Empirical Comparison of Kriging Methods for Nonlinear Spatial Point Prediction , 2002 .
[14] R. M. Lark,et al. Chapter 23 Decomposing Digital Soil Information by Spatial Scale , 2006 .
[15] Philippe Lagacherie,et al. Digital Soil Mapping: A State of the Art , 2008 .
[16] Achim Zeileis,et al. BMC Bioinformatics BioMed Central Methodology article Conditional variable importance for random forests , 2008 .
[17] Achim Zeileis,et al. Bias in random forest variable importance measures: Illustrations, sources and a solution , 2007, BMC Bioinformatics.
[18] James E. Burt,et al. The Impact of Neighbourhood Size on Terrain Derivatives and Digital Soil Mapping , 2008 .
[19] Philippe Lagacherie,et al. Digital soil mapping : an introductory perspective , 2007 .
[20] David W. Opitz,et al. An Empirical Evaluation of Bagging and Boosting , 1997, AAAI/IAAI.
[21] Thorsten Behrens,et al. Instance selection and classification tree analysis for large spatial datasets in digital soil mapping , 2008 .
[22] Alfred E. Hartemink,et al. Digital Soil Mapping with Limited Data , 2008 .
[23] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[24] Edzer J. Pebesma,et al. Multivariable geostatistics in S: the gstat package , 2004, Comput. Geosci..
[25] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[26] Ron Begleiter,et al. A Generic Tool for Performance Evaluation of Supervised Learning Algorithms , 2008 .
[27] A-Xing Zhu,et al. Multi-scale digital terrain analysis and feature selection for digital soil mapping , 2010 .
[28] A. J. Gerrard. Soils and landforms: An integration of geomorphology and pedology , 1982 .
[29] Ron Kohavi,et al. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection , 1995, IJCAI.
[30] Thorsten Behrens,et al. Digital soil mapping using artificial neural networks , 2005 .
[31] W. C. Krumbein. : Factors of Soil Formation: A System of Quantitative Pedology , 1942 .
[32] Mike Grundy,et al. Guidelines for Surveying Soil and Land Resources , 2008 .
[33] Pierre Goovaerts,et al. Predicting Ordinary Kriging Errors Caused by Surface Roughness and Dissectivity , 2005 .
[34] Elisabeth N. Bui,et al. Spatial data mining for enhanced soil map modelling , 2002, Int. J. Geogr. Inf. Sci..
[35] Michael F. Goodchild. Representing, Modeling, and Visualizing the Natural Environment , 2010 .
[36] Thorsten Behrens,et al. Digital soil mapping in Germany—a review , 2006 .
[37] Tin Kam Ho,et al. The Random Subspace Method for Constructing Decision Forests , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[38] P. A. Shary,et al. Fundamental quantitative methods of land surface analysis , 2002 .
[39] I. Evans. Statistical Characterization of Altitude Matrices by Computer. Report 6. An Integrated System of Terrain Analysis and Slope Mapping. , 1979 .
[40] A. Stewart Fotheringham,et al. Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity , 2010 .
[41] A. Prasad,et al. Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction , 2006, Ecosystems.
[42] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[43] Alex B. McBratney,et al. Spatial prediction of soil properties from landform attributes derived from a digital elevation model , 1994 .
[44] M. Hutchinson,et al. Digital terrain analysis. , 2008 .
[45] A-Xing Zhu,et al. The effects of DEM resolution and neighborhood size on digital soil survey , 2006 .
[46] Francis D. Hole,et al. An approach to landscape analysis with emphasis on soils , 1978 .