—Crop simulation models are process-based and
can provide very detailed outputs of the simulated crop and
soil processes. However, analyzing the outputs is challenge.
EasyGrapher (EG) is a graphical and statistical software
program designed for the DSSAT v4.xcrop models, and it also
supports graphing Canadian Agricultural Nitrogen Budget
(CANB) v3.0 model. EG allows users to manipulate hundreds
of graphs within minutes and calculates evaluation statistics.
Specifically, EG v4.5 can support 16 outputs of DSSAT v4.5 to:
(1) create time-series graphs and display measured data in the
simulation graphs; (2) graph simulated data against measured
data and (3) calculate evaluation statistics (RMSE, E, EF and
d). EG v4.5 can support outputs of CANB v3.0 to create bar
plots for spatial-series graphs in various scales. The EG
program has the potential to carry out graphic and statistical
tasks for other models. Graphic and statistical evaluation
examples were illustrated using field dataset collected from our
experiments in Canada and China, as well as dataset resided in
the DSSAT software.
—Cropping system models, data visualization,
decision support system for agro-technology transfer (DSSAT),
EasyGrapher, process-based simulation, statistical evaluation.
J. Y. Yang, C. F. Drury, and Z. T. Li are with Greenhouse and
Processing Crops Research Center, Agriculture and Agri-Food Canada,
2585 County Road 20, Harrow, ON, N0R 1G0, Canada Z.T. Li is also with
the School of Life science, Lanzhou University, Lanzhou, 730000, China
(e-mail: Jingyi.firstname.lastname@example.org, craig.drury.@agr.gc.ca,
J. M. Yang is with College of Resource and Environment Science, Jilin
Agricultural University, Changchun, 130118.
G. Hoogenboom is with the AgWeatherNet Program, Washington State
University, Prosser, WA 99350-8694, USA (e-mail:
Cite:J. Y. Yang, C. F. Drury, J. M. Yang, Z. T. Li, and G. Hoogenboom, "EasyGrapher: Software for Data Visualization and Statistical Evaluation of DSSAT Cropping System Model and the CANB Model," International Journal of Computer Theory and Engineering vol. 6, no. 3, pp. 210-214, 2014.