University of Tehran Press Iranian Journal of Biosystem Engineering 2008-4803 49 3 2018 10 23 Spatial Variability Analysis and Zoning of Soil Compaction Using Different Geostatistical Methods Spatial Variability Analysis and Zoning of Soil Compaction Using Different Geostatistical Methods 329 340 68242 10.22059/ijbse.2018.227916.664911 FA Vahid Bahrpour Former M.Sc. Student, Department of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran. Abbas Rouhani Associated Professor, Department of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran. 0000-0002-4494-7058 Mohammad Hossein Abbaspour-Fard Professor, Department of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran. 0000-0002-5575-5115 Saeid Zarifneshat Associated Professor, Agricultural engineering research department, khorasan razavi agricultural and natural resources research and education center, AREEO, Mashhad, Iran. Mohammad Hossein Aghkhani Professor, Department of Biosystems Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran Journal Article 2017 02 17 One of the important soil properties, which is related to the soil-plant relationship, is soil compaction. The aim of this study is to investigate the spatial variations of soil compaction using different Geostatistic methods, affected by conservation tillage. To evaluating the Geostatistic, soil samples were taken for regular grid of 10 × 10 meters in 117 points. The area of study was a 1.2 hectare land in Agricultural Research Center located in the vicinity of Mashhad in Khorasan Razavi province, the soil cone index was measured at the depth of 0-35 cm. After Geostatistic analysis and semivariogram for estimating variables using the kriging methods (EBK) and Deterministic interpolation methods in GS ⁺ and Arc (GIS). Criteria for evaluation in this research are the values of root mean square error (RMSE), mean error (ME), using the cross-validation method. The results showed that the empirical Bayesian kriging methods (EBK) and Ordinary Kriging (OK) are the best model to estimate soil compaction region. One of the important soil properties, which is related to the soil-plant relationship, is soil compaction. The aim of this study is to investigate the spatial variations of soil compaction using different Geostatistic methods, affected by conservation tillage. To evaluating the Geostatistic, soil samples were taken for regular grid of 10 × 10 meters in 117 points. The area of study was a 1.2 hectare land in Agricultural Research Center located in the vicinity of Mashhad in Khorasan Razavi province, the soil cone index was measured at the depth of 0-35 cm. After Geostatistic analysis and semivariogram for estimating variables using the kriging methods (EBK) and Deterministic interpolation methods in GS ⁺ and Arc (GIS). Criteria for evaluation in this research are the values of root mean square error (RMSE), mean error (ME), using the cross-validation method. The results showed that the empirical Bayesian kriging methods (EBK) and Ordinary Kriging (OK) are the best model to estimate soil compaction region. https://ijbse.ut.ac.ir/article_68242_7e71e1beab333e5d2d05744a0533d0f3.pdf