SciELO - Scientific Electronic Library Online

vol.37 issue2Formulación de gránulos bases para la incorporación De ingredientes activos con efecto biológico sobre el hongo simbiótico cultivado por las hormigas forrajeras del género Atta¹The effect of quality of food source on Macadamua nut damage by Gymnandrosoma aurantianum (Lepidoptera: tortricidae) author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links

  • Have no similar articlesSimilars in SciELO


Agronomía Costarricense

Print version ISSN 0377-9424


HENRIQUEZ, Carlos; MENDEZ, Juan Carlos  and  MASIS, Ramón. Interpolación de variables de fertilidad de suelo mediante el  Análisis kriging y su validación1. Agron. Costarricense [online]. 2013, vol.37, n.2, pp.71-82. ISSN 0377-9424.

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. In both cases, pH had the better values of success. It was concluded that the interpolated maps at a regional scale are a useful tool for to carrying out a good prediction on soil fertility properties, although it is important to perform a verification process in order to confirm these approximations, because this could change according to the type of variables.

Keywords : Geostatistics; GIS in agriculture; agriCooperatives; soil fertility; cross validation; field validation.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License