3D Mapping For The Variables Of Some Soil Physical Properties By Using Spatial Statistic | ||
| Euphrates Journal of Agriculture Science | ||
| Article 1, Volume 6, Issue 2, April 2014, Pages 277-294 | ||
| Abstract | ||
| Abstract: A field experiment was conducted near the city of Hilla / Iraq to study the spatial variability for different soil physical properties, and then determining the most appropriate way to predict the values of these properties at the sites that have not taken soil samples, in order to draw a three-dimensional maps of these properties. This study aims to evaluate two ways of appreciation, ordinary kriging (OK), and inverse distance weight (IDW) metods through a number of statistical tests such as the degree of prediction accuracy (G), and the mean square error (MSE), in order to know the best prediction and mapping method for different soil physical, chemical properties for two soil depths (15-0 cm) and (30-15 cm). Models used to fit the spatial dependency of soil physical properties ranged between exponential and spherical models depending on the type of property and depths of samples. Soil physical properties showed different degree of spatial dependency depending on the property and the depth of sampling, for example the volumetric water content at the first depth shows the highest degree of spatial dependency (118.3 meter) while the void ratio at the second depth shows the lowest degree of spatial dependency (3.5 meter). المقدمة : | ||
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