Spatial-temporal Analysis of Soybean Productivity Using Geostatistical Methods

To have information about the soybean productivity over crop years is essential to define strategies increase profits and reduce costs most important environmental impacts. One form of monitoring use Geostatistical methods, which allow us obtain maps with more accurate predictions. In this paper, an area 127.16 ha was studied during six between 2012/2013 2017/2018. We found that values vary years, mainly due uncontrollable climatic factors. The removal influential points caused changes in predicted showed maps, scaled semivariograms allowed similar those obtained considering model without points, then there no need exclude observations. a replicates helped identify regions where lower. explanatory variables elaborate thematic map 2017/2018 year, well evidenced by prediction standard error map.