To simplify the data and improve user cognition, the ability to filter the data was essential. To accomplish this we have implemented a series of radio buttons which allow the user to filter by attribute values for example, time of recording, type of recording, and location type. Craft, Block, and Cairns (2012) state, “the best implementations of filtering are those that immediately update the display, which allows users to quickly see how variable changes affect the data”. For this reason, we immediately redraw the map in concurrence with any filter selection changes. If the user at any point wishes to remove the current filter selections, there is a reset button which returns the application to its initial state.
Parallel Coordinate Plot (PCP): Within the application we have provided the user with a second method for visualizing and interacting with the quantitative data from our sound recordings, through the use of a parallel coordinate plot. The PCP is located in the upper right corner of the application and was built using Mike Bostocks’ D3 javascript library. D3 allows us to dynamically view and manipulate our sound recording