Padilla, Washington R.García Herrero, Jesús2023-11-072023-11-072018-11-05Padilla, W. R., & García, J. (2018). Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador. Computational Intelligence and Neuroscience 2018, pp. 1-15.1687-5265https://hdl.handle.net/10016/38772This work proposes a methodology that reduces the error of future estimations in commercialization based on multivariate spatial prediction techniques (cokriging) considering the products with strong associations. It is based on the Apriori algorithm to find association rules in sales of agricultural products of local markets. Results show the improvement in spatial prediction accuracy after using the best association rules.15eng© 2018 Washington R. Padilla and Jesús García.Atribución 3.0 EspañaSpaceLandTimeresearch articleInformática10.1155/2018/6587049open access115Computational Intelligence and Neuroscience2018AR/0000022771