Nautical chart data uncertainty visualization as the means for integrating bathymetric, meteorological, and oceanographic information in support of coastal navigation

Most navigational charts are an amalgamation of geospatial information of varying quality collected using different techniques at different times. Data collected with high resolution multi-beam echo sounders or lidar systems may co-exist on the chart with data collected with lead-line as far back as the 18th century. Data quality on charts is currently provided as a series of Category Zone of Confidence (CATZOC) values. For every part of the chart, CATZOC values provide information about the horizontal and vertical uncertainty of bathymetric information, as well as the seabed coverage and feature detection. CATZOC is portrayed in ECDIS as an additional layer with glyphs using a rating system of stars: six to two stars for the best to lowest quality data and “U” for unassessed data. With the provided information mariners may interpret the seabed morphology, identify shoals that pose a threat for the plotted voyage, and select routes that maintain under-keel clearance, however it is not always well understood and utilized by mariners. The aim of this research work is the development of new visualization and integration methods of data quality on charts to support decision making on board. In this two-fold work we begin with investigating new visualization methods for the bathymetric data uncertainty on charts and we subsequently utilize the results of the visualization work for the integration of marine navigation related information in support of decision making and safe navigation of ships.