This 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.
Bibliographical noteFunding Information:
1is work was supported in part by Project MINECO TEC2014-57022-C2-2-R, Salesian Polytechnic University of Quito-Ecuador and by Commercial Coordination Network, Ministry of Agriculture and Livestock Ecuador. 1is research has the partial economic support of the Salesian Polytechnic University of Ecuador.
© 2018 Washington R. Padilla and Jesús García.