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Interpolation of soil fertility data with Kriging and its validation. The goal of this study was to make and validate interpolated maps of 6 soil fertility variables. The maps were made from the results of Ca, pH, soil acidity, K, P and saturation of soil acidity of 138 soil samples that were taken from 1011 ha at Atirro, Costa Rica. The data were interpolated through ordinary Kriging. The validation was carried out using “field validation” and “cross validation” methods. Correlation coefficient (r) was estimated for both techniques between real and prediction values, and the prediction efficiency (E) as well. Other validation criteria used were the percent success by overlapping between real and estimated values, according to the uncertainty of soil analysis and to the success rate of overlap according to agronomic category. The r values using field validation varied from 0.09 to 0.87; and for cross validation were from 0.52 to 0.84. The variables Ca and pH had the highest prediction efficiency in both validation methods. The overlap criterium due to the uncertainty of analysis was 27 to 93% success, while the overlapping range that was due to agronomic category had 47 to 93% of success. RESUMEN Con el fin de elaborar y validar los mapas de interpolacion de 6 variables de fertilidad, se recolectaron y analizaron 138 muestras de suelo de 1011 ha en la zona de Atirro, Costa Rica. Los resultados fueron interpolados mediante el metodo geoestadistico Kriging ordinario para las variables Ca, pH, acidez, K, P y porcentaje de saturacion de acidez. La validacion de los mapas interpolados se llevo a cabo mediante las tecnicas “validacion de campo” y “validacion cruzada”. Para ambas tecnicas se estimo el coeficiente de correlacion (r) entre los valores reales y los de prediccion, asi como la eficiencia de prediccion (E). Adicionalmente se utilizaron 2 criterios para la validacion, que fueron el porcentaje de acierto por traslape entre los valores reales y los estimados, segun la incertidumbre del analisis de suelos y segun un ambito agronomico. Los coeficientes de correlacion obtenidos entre los valores reales y los de prediccion mediante la tecnica de validacion de campo variaron de 0,09 a 0,87, y para validacion cruzada entre 0,52 y 0,84. Las variables Ca y pH fueron las que presentaron las mayores eficiencias de prediccion para ambos metodos de validacion. El criterio de traslape por

Interpolación de variables de fertilidad de suelo mediante el análisis Kriging y su validación