Precision topography map in the field scale is very important for land rearrangement planning. In this study, the elevation in the field scale from such measurements we encountered a strong trend in a land rearrangement project, of Yichun, China, which we had to take into account in addition to correlated random variation. We separated the two sets of effects and estimated their parameters by OLS. A spherical function seemed best to describe the random effect, and its parameter values were inserted into the equations for prediction by ordinary kriging. We compared the results by cross-validation and calculated the mean error (ME), mean squared error (MSE) and mean squared deviation ratio (MSDR). The fitted model gave small ME, as expected—kriging is unbiased. The MSE is also very small. The MSDR was 1.032, which ideally should equal 1. The goodness of the model encourages regression kriging is a good enough method for modeling topography in land rearrangement project.
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- Geostatistical Modeling of Topography in the Land Rearrangement Project
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