Web applications for spatial analyses and thematic map generation

•Automation of ordinary kriging and inverse distance weighting interpolation process.•Proposal default configuration parameters to generate the geostatistical analyses.•Supply of statistical exploratory graphs and semivariograms for thematic maps.•Selection of the best model for semivariogram among...

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Bibliographic Details
Published in:Computers and electronics in agriculture 2020-05, Vol.172, p.105374, Article 105374
Main Authors: Dall'Agnol, Rodrigo Werner, Michelon, Gabriela Karoline, Bazzi, Claudio Leones, Magalhães, Paulo Sérgio Graziano, Souza, Eduardo Godoy de, Betzek, Nelson Miguel, Sobjak, Ricardo
Format: Article
Language:English
Subjects:
AgDataBox
Agricultural management
Applications programs
Data interpolation
Decision making
Geostatistical analysis
Parameter identification
Precision agriculture
Software
Soil analysis
Spatial analysis
Statistical analysis
Thematic mapping
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Summary:•Automation of ordinary kriging and inverse distance weighting interpolation process.•Proposal default configuration parameters to generate the geostatistical analyses.•Supply of statistical exploratory graphs and semivariograms for thematic maps.•Selection of the best model for semivariogram among 12 different adjustment models.•Storage and management information for assertive decision-making in precision agriculture. By using precision agriculture as the basis for site-specific input applications, this study describes the development and implementation of a web-based computational tool for the spatial analysis of agricultural data and the creation of thematic maps. This tool, which is integrated into the R software environment, can create thematic maps using ordinary kriging and inverse distance weighting interpolation. In addition, the tool automatically selects the semivariogram parameters for geostatistical analyses and identifies the best-fitting model. To evaluate the software, statistical analyses of agricultural soil attributes and indices in two fields were performed to compare the maps generated by the developed tool and ArcMap. The results showed that most of the interpolations were similar across the maps. The developed tool is freely available online, simple, and reliable, and it allows users to provide information regarding spatial and temporal variabilities based on various attributes, thus contributing to more assertive decision making in agricultural management.
ISSN:0168-1699
1872-7107
DOI:10.1016/j.compag.2020.105374