Journal of Food, Agriculture and Environment

Geostatistical models in a study on the spatio-temporal dependence of agricultural data


Bruna Gabriela Wendpap 1, Miguel Angel Uribe-Opazo 2*, Jerry Adriani Johann 3, Márcio Antônio Vilas Boas 4, Eduardo Godoy De Souza 5

Recieved Date: 2015-06-08, Accepted Date: 2015-09-28


Knowing the spatial dependence of a given attribute and studying the behavior of such dependence in time, allow for its mapping and monitoring. This will lead to good local management practices of farms, with the intent to achieve greater profitability, as well as reduced environmental liability usually caused by poor awareness on the actual physicochemical requirements of a particular soil. The present work aimed to model, in different ways, the structure of spatial dependence of observations in time and its influence on the generation of thematic maps. The “experimental area” data were gathered from an experiment employed at the Research Center Eloy Gomes from the Cooperativa Central Agropecuária de Desenvolvimento Tecnológico e Econômico Ltda (COODETEC), in the city of Cascavel - PR. The area was 1.33 ha, divided into a regular grid of 256 plots of 7.20 m x 7.20 m, summing up a total of 128 plots with local chemical management and 128 plots with no local chemical management. For five years, maps of soil potassium in the experimental area were compared through individual geostatistical models; scaling semivariance model and linear models with multiple independent replications. The accuracy rates indicated similarity between the thematic maps generated by the various methods proposed. A model of spatial estimation of soybean yield was also generated, considering multiple independent replications, depending on covariates.


Scaled semivariogram, thematic maps, spatial linear model

Journal: Journal of Food, Agriculture and Environment
Year: 2015
Volume: 13
Issue: 3&4
Category: Agriculture
Pages: 21-28

Full text for Subscribers

Note to users

The requested document is freely available only to subscribers/registered users with an online subscription to the Journal of Food, Agriculture & Environment. If you have set up a personal subscription to this title please enter your user name and password. All abstracts are available for free.

Article purchasing

If you like to purchase this specific document such as article, review or this journal issue, contact us. Specify the title of the article or review, issue, number, volume and date of the publication. Software and compilation, Science & Technology, all rights reserved. Your use of this website details or service is governed by terms of use. Authors are invited to check from time to time news or information.

Purchase this Article:   20 Purchase PDF Order Reprints for 15

Share this article :