We describe here the functionality of ADAPT 5 Model Evaluation Graphical Toolkit (AMGET), an R-based package, which uses base R graphic functions to generate customizable displays from ADAPT 5 output datasets.
Additionally, all participants interacted with identifying graph referents and integrating graphic referents to graphic functions.
The graphic functions simultaneously display interpolated data and field data over a designated area.
For instance, test takers took different goals into consideration to integrate the graphic referents with graphic functions in the graph.
At this stage, some participants started by relating what they have found as graphic functions (e.g., one bar is higher/lower/equal than others) to the identified graphic referents such as quantitative features presented in the graph.
A second unifying thread in all the art here is the fact that the computer and its many graphic functions plays a significant role in their process of creating art.
Useful graphic functions.
The autocorrelation, partial autocorrelation, and inverse autocorrelation graphic functions were used to model parameter appropriateness and seasonality.
Several published (Bigler, 2005; Bunn, 2008) and many unpublished routines for tree-ring analysis are available in R and adapting statistical or graphic functions is relatively straightforward.
Therefore, the 'true model structure' was known beforehand and this exercise only aimed at illustrating the different graphic functions of the AMGET package.
Mapping and graphic functions are available in the disease event component, with easy access to and retrieval of information on animal disease events worldwide, according to criteria selected by the user.
