Australia-wide predictions of soil properties using decision trees

[1]  H. Jenny,et al.  FUNCTIONAL RELATIONSHIPS BETWEEN SOIL PROPERTIES AND RAINFALL , 1934 .

[2]  H. Jenny,et al.  Factors of Soil Formation , 1941 .

[3]  K. H. Northcote,et al.  Atlas of Australian soils , 1966 .

[4]  R. Protz,et al.  Relation between Landform Parameters and Soil Properties1 , 1968 .

[5]  A. Kershaw,et al.  Record of last interglacial–glacial cycle from northeastern Queensland , 1978, Nature.

[6]  Kenneth R. Olson,et al.  Soil, Landscape, and Erosion Relationships in a Northwest Illinois Watershed , 1989 .

[7]  A. Bouwman,et al.  Soils and the greenhouse effect. , 1990 .

[8]  Donald L. DeAngelis,et al.  The global carbon cycle. , 1990 .

[9]  Leon Sterling,et al.  AI '92 : proceedings of the 5th Australian Joint Conference on Artificial Intelligence : Hobart, Tasmania, 16-18 November 1992 , 1992 .

[10]  J. Ross Quinlan,et al.  C4.5: Programs for Machine Learning , 1992 .

[11]  B. Hudson,et al.  The Soil Survey as Paradigm-based Science , 1992 .

[12]  G. E. Rayment,et al.  Australian laboratory handbook of soil and water chemical methods. , 1992 .

[13]  James C. Bell,et al.  Calibration and Validation of a Soil-Landscape Model for Predicting Soil Drainage Class , 1992 .

[14]  Gary A. Peterson,et al.  Soil Attribute Prediction Using Terrain Analysis , 1993 .

[15]  B. Engelen,et al.  A world soils and terrain digital database (SOTER) — An improved assessment of land resources , 1993 .

[16]  Noel A Cressie,et al.  Statistics for Spatial Data. , 1992 .

[17]  J. Ross Quinlan,et al.  Combining Instance-Based and Model-Based Learning , 1993, ICML.

[18]  Mike Rees,et al.  5. Statistics for Spatial Data , 1993 .

[19]  Surface soil-pH map of Queensland , 1994 .

[20]  Jeffrey S. Kern,et al.  Spatial Patterns of Soil Organic Carbon in the Contiguous United States , 1994 .

[21]  Alex B. McBratney,et al.  Spatial prediction of soil properties from landform attributes derived from a digital elevation model , 1994 .

[22]  Ramakrishna R. Nemani,et al.  The VEMAP integrated database for modelling United States ecosystem/vegetation sensitivity to climate change , 1995 .

[23]  A. McBratney,et al.  Further results on prediction of soil properties from terrain attributes: heterotopic cokriging and regression-kriging , 1995 .

[24]  Paul E. Gessler,et al.  Soil-Landscape Modelling and Spatial Prediction of Soil Attributes , 1995, Int. J. Geogr. Inf. Sci..

[25]  N. Batjes,et al.  Total carbon and nitrogen in the soils of the world , 1996 .

[26]  P. Gessler,et al.  Statistical soil-landscape modelling for environmental management , 1996 .

[27]  N. Batjes.  A world dataset of derived soil properties by FAO–UNESCO soil unit for global modelling , 1997 .

[28]  Philippe Lagacherie,et al.  Predicting soil properties over a region using sample information from a mapped reference area , 1997 .

[29]  Budiman Minasny,et al.  Comparison of different approaches to the development of pedotransfer functions for water-retention curves , 1999 .

[30]  H. Altay Güvenir,et al.  An overview of regression techniques for knowledge discovery , 1999, The Knowledge Engineering Review.

[31]  N. McKenzie,et al.  Spatial prediction of soil properties using environmental correlation , 1999 .

[32]  Thomas J. Jackson,et al.  Estimating soil water‐holding capacities by linking the Food and Agriculture Organization Soil map of the world with global pedon databases and continuous pedotransfer functions , 2000 .

[33]  J. Friedman.  Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .

[34]  Niels H. Batjes,et al.  Effects of mapped variation in soil conditions on estimates of soil carbon and nitrogen stocks for South America , 2000 .

[35]  J. J. de Gruijter.  Sampling for spatial inventory and monitoring of natural resources , 2000 .

[36]  Walter J. Rawls,et al.  Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics , 2001 .

[37]  Thomas J. Jackson,et al.  meeting summary: GEWEX/BAHC International Workshop on Soil Moisture Monitoring, Analysis, and Prediction for Hydrometeorological and Hydroclimatological Applications , 2001 .

[38]  Paul R. Houser,et al.  A methodology for initializing soil moisture in a global climate model: Assimilation of near‐surface soil moisture observations , 2001 .

[39]  B. Henderson,et al.  An improved calibration curve between soil pH measured in waterand CaCl2 , 2002 .

[40]  Budiman Minasny,et al.  The efficiency of various approaches to obtaining estimates of soil hydraulic properties , 2002 .

[41]  Malcolm Davidson,et al.  On current limits of soil moisture retrieval from ERS-SAR data , 2002, IEEE Trans. Geosci. Remote. Sens..

[42]  T. Schmugge,et al.  Remote sensing in hydrology , 2002 .

[43]  Budiman Minasny,et al.  On digital soil mapping , 2003 .

[44]  Chris Moran,et al.  ASRIS: the database , 2003 .

[45]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[46]  Karin Viergever,et al.  Knowledge discovery from models of soil properties developed through data mining , 2006 .