Figure 1.
Main interface of the VMSbase package.
It is organized into groups of icons that allow access to different functions that operate on different input data (VMS, logbooks, or a combination of the two). The “Project Management” panel on the bottom left side allows setting the files for the work session (and also saving and loading the workspace). The “VMS Data Management” and “Logbook Data Management” provide access to functions and routines for the analysis of, respectively, VMS and Logbook data. These two flows converge in the analyses provided in the “VMS-Logbook Analysis” panel. Finally, the main graphical and numerical outputs can be produced by the tools in the “Data Output” panel at the bottom-right side of the main interface.
Figure 2.
VMSbase interfaces for: a) VMS and b) Logbook data loading.
While a series of data format options is available in both cases, these interfaces also allow the selected configurations to be saved.
Figure 3.
VMSbase interfaces for VMS data viewer or database query.
The upper area returns a series of statistical data for the selected database. A traffic light system is present to indicate the analyses already completed (green lights) and the ones which can still be performed (red lights). The bottom area shows the appearance of the dataset. Different panels are used for the native VMS pings, the Tracks (i.e. groups of VMS pings), the Interpolated tracks, the Warnings, etc. The names of the datasets as well as the data in the figure are just for the sake of illustration.
Figure 4.
VMSbase interfaces for the Assign bathymetry tool: a) main interface that allows data and algorithm to be selected; b) interface for Custom Box selection of data.
Figure 5.
VMSbase interfaces for a) the ping viewer.
Single VMS positions are represented by red points; b) the track viewer in which all the tracks for a single vessel are plotted; c) the track viewer in which only a single track for a single vessel is plotted; d) the interpolation viewer in which a single track is plotted, with black points representing interpolated pings and red points representing real pings. It should be noted that, in all cases, the main isobaths are visualized as computed by the “Get Isobaths” tool in the main interface. The names of the datasets as well as the data in the figure are just for the sake of illustration.
Figure 6.
VMSbase interfaces for a) Logbook database viewer, the tool to visually inspect the logbook data; b) Métier discovery, the tool for searching the métiers, defined as catches profiles, in a given logbook database; c) Métier editing tool, which allows the user to assign DCF labels to the detected métier.
The names of the datasets as well as the data in the figure are just for illustrative purposes.
Figure 7.
VMSbase interface for Métier Prediction tool.
It allows customizing the parameters of the Artificial Neural Network and then train it, but also shows the performance of the trained ANN in terms of correct prediction and allows loading a previously trained ANN and applying it on a new dataset.
Figure 8.
VMSbase interfaces for a) “Mark fishing points” tool, which allows the user to specify the speed and eventually the bathymetric range for different fishing activities; b) “Effort Gridding”, the tool designed to associate fishing effort with grids or other partitioning, which are then plotted and exported in the desired formats.
This tool returns a value (hours of fishing effort activity) for each cell of the grid, while the results can be saved and exported as ESRI shapefile or CSV textfile; c) “DCF Indicators”, the tool aimed to compute the values for DCF indicators of fishing pressure 5 and 6.
Table 1.
Temporal performances (time required for computation) for each step of a typical data flow.
Table 2.
List of métiers identified in the sample Logbook database for the activity of the Italian fishing fleet during year 2012.
Table 3.
List of dependencies (other R add-on packages) for VMSbase.