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| 1 | Statistical methods for evalua- ting soil salinity spatial and temporal variability显示文摘 | Douaik A Meirvenne M V Toth T | | Soil Sci Soc Am J0，71，： | 1 |
| 2 | Soil salinity mapping using spatio-temporal kriging and Bayesian maximum entropy with inter- val soft data显示文摘 | Douaik A Meirvenne M V To th D | 2005 | Geoderma2005，128，： | 1 |
| 3 | Soil salinity mapping using spatio-temporal Kriging and Bayesian maximum entropy with interval soft data显示文摘 | Douaik A Van Meirvenne M Toth T | 2005 | Geoderma2005，128，34： | 1 |
| 4 | Statistical methods for e- valuating soil salinity spatial and temporal variability 显示文摘 | Douaik A Van Meirvenne M T6th T | | Soil Sci- ence Society of America Journal0，71，5： | 1 |
| 5 | Statistical methods for evaluating soil salinity spatial and temporal varia- bility显示文摘 | Douaik A van Meirvenne M T6th T | 2007 | Soil Science Society of America Journal2007，71，5： | 1 |
| 6 | Soil salinity mapping using spatio-temporal kriging and Bayesian maximum entropy with interval soft data显示文摘 | DOUAIK A MEIRVENNE M V TOTH T | 2005 | Geoderma2005，128，34： | 1 |
| 7 | Space-time mapping of soil salinity using probabilistic bayesian maximum entropy显示文摘 | A. Douaik M. van Meirvenne T. Tóth M. Serre | 2004 | Stochastic Environmental Research and Risk Assessment2004，，4： | 1 |
| 8 | Space time mapping of soil salinity using probabilistic bayesian maxium entropy显示文摘 | Douaik A VanMeirvenneM Toth T SerreM | 2004 | Stoch Environ Res Risk Assess2004，18，4： | 1 |
| 9 | Soil salinity mapping using spatio-temporal kriging and Bayesian maximum entropy with interval soft data显示文摘 | Ahmed Douaik Marc Van Meirvenne Tibor Tóth | 2005 | Geoderma2005，，3： | 1 |
| 10 | Soil salinity mapping using spatio-temporal kriging and Bayesian maximum entropy with interval soft data显示文摘 | A Douaik M V Meirvenne T Toth | | Geoderma0，128，34： | 1 |
| 11 | Soil salinity mapping u sing spatio-temporal kriging and Bayesian maximum entropy with interval soft data显示文摘 | Douaik A Van Meirvenne M Toth T | 2005 | Geoderma2005，128，： | 1 |
| 12 | Space time mapping of soil salinity using probabilistic bayesian maximum entropy显示文摘 | Douaik A Van Meirvenne M Toth T | 2004 | Stoch Environ Res Risk Assess2004，18，4： | 1 |
| 13 | Soil salinity mapping using spatiotemporal kriging and Bayesian maximum entropy with interval soft data显示文摘 | Douaik A Meirvenne M V | 2005 | Geoderma2005，128，： | 1 |
| 14 | Soil salinity mapping using spatio-temporal kriging and Bayesian maximum entropy with interval soft data显示文摘 | Douaik A Meirvenne M V Tóth D | 2005 | Geoderma2005，128，： | 1 |
| 15 | Application of Statistical Methods and GIS for Downscaling and Mapping Crop Statistics Using Hypertemporal Remote Sensing显示文摘 | Ahmed DOUAIK | 2014 | Journal of Statistical Science and Application2014，2，3： | 0 |
| 16 | Soil erodibility mapping using three approaches in the Tangiers province–Northern Morocco显示文摘Soil erodibility is a key factor in assessing soil loss rates.In fact,soil loss is the most occurring land degradation form in Morocco,affecting rural and urban vulnerable areas.This work deals with large scale mapping of soil erodibility using three mapping approaches:(i)the CORINE approach developed for Europe by the JRC;(ii)the UNEP/FAO approach developed within the frame of the United Nations Environmental Program for the Mediterranean area;(iii)the Universal Soil Loss Equation(USLE)K factor.Our study zone is the province of Tangiers,North-West of Morocco.For each approach,we mapped and analyzed different erodibility factors in terms of parent material,topography and soil attributes.The thematic maps were then integrated using a Geographic Information System to elaborate a soil erodibility map for each of the three approaches.Finally,the validity of each approach was checked in the field,focusing on highly eroded areas,by confronting the estimated soil erodibility and the erosion state as observed in the field.We used three statistical indicators for validation:overall accuracy,weighted Kappa factor and omission/commission errors.We found that the UNEP/FAO approach,based principally on lithofacies and topography as mapping inputs,is the most adapted for the case of our study zone,followed by the CORINE approach.The USLE K factor underestimated the soil erodibility,especially for highly eroded areas. | Hamza Iaaich Rachid Moussadek Bouamar Baghdad Rachid Mrabet Ahmed Douaik Derradji Abdelkrim Abdelhak Bouabdli | 2016 | International Soil and Water Conservation Research2016，4，3： | 0 |
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