Data Association Methodology to Improve Spatial Predictions in Alternative Marketing Circuits in Ecuador Articles uri icon

publication date

  • November 2018

International Standard Serial Number (ISSN)

  • 1687-5265

Electronic International Standard Serial Number (EISSN)

  • 1687-5273


  • 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.


  • Computer Science


  • space; land; time