Abstract: Abstract： 【Objective】This paper is concerned with increasing the accuracy of the spatial predictions of soil available nutrients (Cu, Fe, Mn, K, P and Zn), pH and soil organic matter (SOM) using elevation as ancillary variable. 【Method】The techniques applied were ordinary kriging (OK), cokriging (CK) and Simple kriging with varying local means (SKlm). The root of mean square error of prediction was used as the comparison criterion to assess the performance of each prediction method. 【Result】CK resulted in the most accurate estimates for K and pH, and SKlm for P, SOM and Zn, whereas both bivariate interpolation methods could not improve the accuracy of prediction for Cu, Fe and Mn relative to OK. 【Conclusion】The results suggest that the factors be responsible for prediction methods should be examined carefully before deciding on the most appropriate method of prediction

Key words: Soil property, Kriging, Elevation, Spatial prediction