Constructing a soil class map of Denmark based on the FAO legend using digital techniques

Adhikari, 2013, High-resolution 3-D mapping of soil texture in Denmark, Soil Sci. Soc. Am. J., 77, 860, 10.2136/sssaj2012.0275 Bendix, 2004 Boettinger, 2010 Böhner, 2009, Land surface parameters specific to topo-climatology, 195 Böhner, 2002, Soil regionalization by means of terrain analysis and process parameterization, 213 Bou Kheir, 2010, Predictive mapping of soil organic carbon in wet cultivated lands using classification-tree based models: the case study of Denmark, J. Environ. Manag., 91, 1150, 10.1016/j.jenvman.2010.01.001 Breiman, 1984 Bui, 2001, Disaggregation of polygons of surficial geology and soil maps using spatial modelling and legacy data, Geoderma, 103, 79, 10.1016/S0016-7061(01)00070-2 Bui, 2003, A strategy to fill gaps in soil survey over large spatial extents: an example from the Murray–Darling basin of Australia, Geoderma, 111, 21, 10.1016/S0016-7061(02)00238-0 Bui, 1999, Extracting soil–landscape rules from previous soil surveys, Aust. J. Soil Res., 37, 495, 10.1071/S98047 Bui, 2006, Knowledge discovery from models of soil properties developed through data mining, Ecol. Model., 191, 431, 10.1016/j.ecolmodel.2005.05.021 Carre, 2002, Quantitative mapping of soil types based on regression kriging of taxonomic distances with landform and land cover attributes, Geoderma, 110, 241, 10.1016/S0016-7061(02)00233-1 Carre, 2007, Digital soil assessments: beyond DSM, Geoderma, 142, 69, 10.1016/j.geoderma.2007.08.015 Commission of the European Communities, 1985. Soil map of the European Communities, 1:1,000,000, Office for official publications of the European Communities, Luxembourg. Danmarks Geologiske Undersøgelse, 1978. Foreløbige geologogiske kort (1:25,000) over Danmark. DGU Serie A(3). Danmarks Geologiske Undersøgelse, Denmark. Danmarks Meteorologiske Institut, 1998 Danner, 2007, 212 Dobos, 2009, Soil mapping applications, 461 ESRI, 2012 FAO, 1977 FAO–Unesco, 1974 FAO–Unesco, 1990 Finke, 2012, On digital soil assessment with models and the pedometrics agenda, Geoderma, 171, 3, 10.1016/j.geoderma.2011.01.001 Freeman, 1991, Calculating catchment-area with divergent flow based on a regular grid, Comput. Geosci., 17, 413, 10.1016/0098-3004(91)90048-I Friedman, 2001, Greedy function approximation: a gradient boosting machine, Ann. Stat., 29, 1189, 10.1214/aos/1013203451 Friedman, 2003, Multiple additive regression trees with application in epidemiology, Stat. Med., 22, 1365, 10.1002/sim.1501 Gallant, 2003, A multi-resolution index of valley bottom flatness for mapping depositional areas, Water Resour. Res., 39, 1347, 10.1029/2002WR001426 Greve, 2001, History of land value assessment and establishment of benchmark soils in Denmark, Soil Surv. Horiz., 42, 19, 10.2136/sh2001.1.0019 Greve, 2007, Generating a Danish raster-based topsoil property map combining choropleth maps and point information, Dan. J. Geogr., 107, 1, 10.1080/00167223.2007.10649565 Greve, 2012, Quantifying the ability of environmental parameters to predict soil texture fractions using regression-tree model with GIS and LIDAR data: the case study of Denmark, Ecol. Indic., 18, 1, 10.1016/j.ecolind.2011.10.006 Greve, 2012, Using digital elevation models as an environmental predictor for soil clay contents, Soil Sci. Soc. Am. J., 76, 2116, 10.2136/sssaj2010.0354 Grinand, 2008, Extrapolating regional soil landscapes from an existing soil map: sampling intensity, validation procedures, and integration of spatial context, Geoderma, 143, 180, 10.1016/j.geoderma.2007.11.004 Grunwald, 2006, Environmental Soil–Landscape Modeling: Geographic Information Technologies and Pedometrics, 10.1201/9781420028188 Grunwald, 2009, Multi-criteria characterization of recent digital soil mapping and modeling approaches, Geoderma, 152, 195, 10.1016/j.geoderma.2009.06.003 Grunwald, 2011, Digital soil mapping and modeling at continental scales: finding solutions for global issues, Soil Sci. Soc. Am. J., 75, 1201, 10.2136/sssaj2011.0025 2008 Hartemink, 2010, GlobalSoilMap. net—a new digital soil map of the world, 423 Hewitt, 1993, Predictive modelling in soil survey, Soils Fertil., 56, 305 Hudson, 1992, The soil survey as paradigm-based science, Soil Sci. Soc. Am. J., 56, 836, 10.2136/sssaj1992.03615995005600030027x Jacobsen, 1984, Soil map of Denmark according to the FAO–UNESCO legend, Dan. J. Geogr., 84, 93, 10.1080/00167223.1984.10649206 Jafari, 2012, Spatial prediction of USDA—great soil groups in the arid Zarand region, Iran: comparing logistic regression approaches to predict diagnostic horizons and soil types, Eur. J. Soil Sci., 63, 284, 10.1111/j.1365-2389.2012.01425.x Jenny, 1941 Kempen, 2012, Efficiency comparison of conventional and digital soil mapping for updating soil maps, Soil Sci. Soc. Am. J., 76, 2097, 10.2136/sssaj2011.0424 Lacoste, 2011, Regional mapping of soil parent material by machine learning based on point data, Geomorphology, 133, 90, 10.1016/j.geomorph.2011.06.026 Lagacherie, 1997, Addressing geographical data errors in a classification tree for soil unit prediction, Int. J. Geogr. Inf. Sci., 11, 183, 10.1080/136588197242455 Lagacherie, 2007 Lemercier, 2012, Extrapolation at regional scale of local soil knowledge using boosted classification trees: a two-step approach, Geoderma, 171–172, 75, 10.1016/j.geoderma.2011.03.010 Madsen, 1985, The establishment of pedological soil databases in Denmark, Dan. J. Geogr., 85, 1, 10.1080/00167223.1985.10649211 Madsen, 1992, Pedological regional variations in well-drained soils, Denmark, Dan. J. Geogr., 92, 61, 10.1080/00167223.1992.10649316 Madsen, 1995 Madsen, 1996, Soil map of Denmark according to the revised FAO legend 1990, Dan. J. Geogr., 96, 51, 10.1080/00167223.1996.10649376 Madsen, 1992 McBratney, 2003, On digital soil mapping, Geoderma, 117, 3, 10.1016/S0016-7061(03)00223-4 McKenzie, 1999, Spatial prediction of soil properties using environmental correlation, Geoderma, 89, 67, 10.1016/S0016-7061(98)00137-2 McSweeney, 1991, Towards a new framework for modeling the soil–landscape continuum, 127 Minasny, 2007, Incorporating taxonomic distance into spatial prediction and digital mapping of soil classes, Geoderma, 142, 285, 10.1016/j.geoderma.2007.08.022 Minasny, 2010, Methodologies for global soil mapping Minasny, 2008, Digital soil mapping technologies for countries with sparse data infrastructures, 15 2012 Minasny, 2013, Digital mapping of soil carbon, Adv. Agron., 118, 1, 10.1016/B978-0-12-405942-9.00001-3 Moran, 2002, Spatial data mining for enhanced soil map modelling, Int. J. Geogr. Inf. Sci., 16, 533, 10.1080/13658810210138715 Østergaard, 1990 Patil, 2012, Comparison of C5. 0 & CART classification algorithms using pruning technique, Int. J. Eng. Res. Technol., 1, 1 Quinlan, 1993 SAGA GIS Sanchez, 2009, Digital soil map of the world, Science, 325, 680, 10.1126/science.1175084 Schou, 1949 Scull, 2005, The application of classification tree analysis to soil type prediction in a desert landscape, Ecol. Model., 181, 1, 10.1016/j.ecolmodel.2004.06.036 Stjernholm, 2004 Taghizadeh-Mehrjardi, 2012, Digital soil mapping of soil classes using decision trees in central Iran, 197 Zhu, 1997, Derivation of soil properties using a soil land inference model (SoLIM), Soil Sci. Soc. Am. J., 61, 523, 10.2136/sssaj1997.03615995006100020022x Zhu, 2001, Soil mapping using GIS, expert knowledge, and fuzzy logic, Soil Sci. Soc. Am. J., 65, 1463, 10.2136/sssaj2001.6551463x Zhu, 2009, Research and application of the improved algorithm C4.5 on Decision tree, 184