Point to surface mapping of selected soil properties using different interpolation techniques at Bangan National Park
2018
Vallesteros, S.F. | Vallesteros, A.P. | Mammuad, J.C. | Tarranco, A.S. | Budong, M.E.S. | Rodriguez, J.M. | Yogyog, R.Y. | Dela Cruz, G.T. | Peralta, M.J. | Inaldo, B.
Three spatial analysis algorithms, namely: Inverse Distance Weighted (IDW), Kriging, and Spline were used to interpolate soil pH, Organic Matter (OM), and soil nutrients such as Niitrogen (N), Phosphorus (P), and Potassium (K) from sample point data. A random-point sampling was carried out to collect soil samples. Samples were analyzed in the Department of Agriculture R-02, Cagayan Valley Integrated Agricultural Laboratory. Interpolation was carried out in ArcGIS 10.2. Root Mean Square Error (RMSE) was calculated to evaluate the relative precision of the interpolation methods. IDW had the lowest RMSE for pH, 0M, and K and kriging had the lowest RMSE in P. Spline had the highest RMSE for all of the four properties except for pH. Lower RMSE implies better interpolation result. The results showed that IDW has the nearest value as compared to the soil laboratory result (Standard Deviation). Surface maps are important parameters for decision making in terms of land use, soil-plant compatibility, and soil improvement activities. Future research should take into account the topographic factors, existing vegetation, and other important site properties.
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