Modeling and mapping of cadmium in soils based on qualitative and quantitative auxiliary variables in a cadmium contaminated area.

[1]  László Pásztor,et al.  Mapping geogenic radon potential by regression kriging. , 2016, The Science of the total environment.

[2]  Chi Peng,et al.  Risk assessment of Cd polluted paddy soils in the industrial and township areas in Hunan, Southern China. , 2016, Chemosphere.

[3]  X. Duan,et al.  Spatial distribution and environmental factors of catchment-scale soil heavy metal contamination in the dry-hot valley of Upper Red River in southwestern China , 2015 .

[4]  W. Fu,et al.  The spatial distribution pattern of heavy metals and risk assessment of moso bamboo forest soil around lead–zinc mine in Southeastern China , 2015 .

[5]  Jiaping Wu,et al.  Prediction of soil heavy metal distribution using Spatiotemporal Kriging with trend model , 2015 .

[6]  R. Pesch,et al.  Modelling and mapping spatio-temporal trends of heavy metal accumulation in moss and natural surface soil monitored 1990–2010 throughout Norway by multivariate generalized linear models and geostatistics , 2014 .

[7]  B. Gajić,et al.  Assessment of the impact of geographical factors on the spatial distribution of heavy metals in soils around the steel production facility in Smederevo (Serbia) , 2014 .

[8]  Yang Liu,et al.  Factorial kriging and stepwise regression approach to identify environmental factors influencing spatial multi-scale variability of heavy metals in soils. , 2013, Journal of hazardous materials.

[9]  Tianxiang Yue,et al.  Spatially distributed modeling of soil organic matter across China: An application of artificial neural network approach , 2013 .

[10]  Yonglong Lu,et al.  Factors influencing the contents of metals and as in soils around the watershed of Guanting Reservoir, China. , 2013, Journal of environmental sciences.

[11]  Xiangyang Qin,et al.  Multivariate and geostatistical analyses of the spatial distribution and origin of heavy metals in the agricultural soils in Shunyi, Beijing, China. , 2012, The Science of the total environment.

[12]  Huichun Ye,et al.  Spatial prediction of soil organic matter using terrain indices and categorical variables as auxiliary information , 2012 .

[13]  S. DeGloria,et al.  Factors affecting paddy soil arsenic concentration in Bangladesh: prediction and uncertainty of geostatistical risk mapping. , 2011, The Science of the total environment.

[14]  R. Wuana,et al.  Heavy Metals in Contaminated Soils: A Review of Sources, Chemistry, Risks and Best Available Strategies for Remediation , 2011 .

[15]  Yu-Pin Lin,et al.  Assessing how heavy metal pollution and human activity are related by using logistic regression and kriging methods , 2011 .

[16]  Alfred Stein,et al.  Surface modelling of soil properties based on land use information , 2011 .

[17]  Ruimin Liu,et al.  Heavy metals in urban soils with various types of land use in Beijing, China. , 2011, Journal of hazardous materials.

[18]  Xuezheng Shi,et al.  Spatial interrelations and multi-scale sources of soil heavy metal variability in a typical urban-rural transition area in Yangtze River Delta region of China , 2010 .

[19]  A. Zhu,et al.  Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods , 2010 .

[20]  Vincent Chaplot,et al.  Estimating carbon stocks at a regional level using soil information and easily accessible auxiliary variables. , 2010 .

[21]  Tomislav Hengl,et al.  Heavy metals in European soils: A geostatistical analysis of the FOREGS geochemical database , 2008 .

[22]  Tomislav Hengl,et al.  Representing soil pollution by heavy metals using continuous limitation scores , 2007, Comput. Geosci..

[23]  Gerard B. M. Heuvelink,et al.  About regression-kriging: From equations to case studies , 2007, Comput. Geosci..

[24]  B. Minasny,et al.  Spatial prediction of soil properties using EBLUP with the Matérn covariance function , 2007 .

[25]  M. Arias,et al.  Heavy metals contents in agricultural topsoils in the Ebro basin (Spain). Application of the multivariate geoestatistical methods to study spatial variations. , 2006, Environmental pollution.

[26]  C. Micó,et al.  Assessing heavy metal sources in agricultural soils of an European Mediterranean area by multivariate analysis. , 2006, Chemosphere.

[27]  Pierre Goovaerts,et al.  Fine-resolution mapping of soil organic carbon based on multivariate secondary data , 2006 .

[28]  G. Heuvelink,et al.  A generic framework for spatial prediction of soil variables based on regression-kriging , 2004 .

[29]  A. Bellanca,et al.  Heavy metals in urban soils: a case study from the city of Palermo (Sicily), Italy. , 2002, The Science of the total environment.

[30]  Alex B. McBratney,et al.  A comparison of prediction methods for the creation of field-extent soil property maps , 2001 .

[31]  R. Webster,et al.  Geostatistics for Environmental Scientists , 2001 .

[32]  Alex B. McBratney,et al.  An overview of pedometric techniques for use in soil survey , 2000 .

[33]  U. Gupta,et al.  Trace element toxicity relationships to crop production and livestock and human health: implications for management , 1998 .

[34]  D. Brus,et al.  A comparison of kriging, co-kriging and kriging combined with regression for spatial interpolation of horizon depth with censored observations , 1995 .

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

[36]  A. Konopka,et al.  FIELD-SCALE VARIABILITY OF SOIL PROPERTIES IN CENTRAL IOWA SOILS , 1994 .

[37]  K. Beven,et al.  A physically based, variable contributing area model of basin hydrology , 1979 .

[38]  H. Doner.  Chloride as a Factor in Mobilities of Ni(II), Cu(II), and Cd(II) in Soil 1 , 1978 .

[39]  G. Matheron.  Principles of geostatistics , 1963 .

[40]  L. Ya.  Characteristics of Cd and Pb adsorption-desorption in paddy soils developed from various parent materials and its impacting factors , 2014 .

[41]  Tao Chen,et al.  Identification of trace element sources and associated risk assessment in vegetable soils of the urban-rural transitional area of Hangzhou, China. , 2008, Environmental pollution.

[42]  Wu Bin,et al.  Heavy Metal Pollution of Soils and Vegetables from Midstream and Downstream of Xiangjiang River , 2008 .

[43]  G. P. Robertson,et al.  Can topographical and yield data substantially improve total soil carbon mapping by regression kriging , 2007 .

[44]  Igor V. Florinsky,et al.  Prediction of soil properties by digital terrain modelling , 2002, Environ. Model. Softw..

[45]  R. Bilonick.  An Introduction to Applied Geostatistics , 1989 .

[46]  A. Kabata-Pendias.  Trace elements in soils and plants , 1984 .

[47]  G. Matheron.  Les variables régionalisées et leur estimation : une application de la théorie de fonctions aléatoires aux sciences de la nature , 1965 .