Research Article

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

Table 4

FJespacial data source.

FeriaBrócoliCebolla blancaTomateTomate de arbolZanahoriaxy

Colta660263030−78.723827−1.8880031
Tisaleo37.93688.2518547.5−78.6922532−1.4095144
Riobamba189.61800−78.6736758−1.6615342
Riobamba22642.5601517.5−78.6729892−1.6608907
Riobamba3010885−78.6686976−1.6602473
Riobamba42.574603529.5−78.6588056−1.6762586
Cevallos99.6514520−78.6566384−1.2571434
Riobamba57.250303520−78.655823−1.6871008
Riobamba6665422729−78.6538275−1.6759905
Riobamba7201005−78.6500294−1.6780281
Riobamba8626.533036−78.6497031−1.6746817
Riobamba92.506.903−78.6462744−1.6894172
Chambo2150302020−78.6076928−1.7302981
Pillaro20.1141.5927840−78.551033−1.3283574