The map and chart are not linked and the map is not interactive. The chart shows only the percentage of trends within areas. The map is presented as a static image showing only the trend without specific values. In many different visualizations, such as in Figure 3, status and trends are shown. Errors identified and corrected in this process are in most cases not returned to the database or data source, and for another data product, the analyses and validation of the data must be performed again. In the end, the result can be published as a web page or text document. The result is a “one-dimensional” view of the dataset used. The data product is a validated and visualized dataset tailored to the specific purpose. A schematic representation of this process can be found in Figure 1. The user creates a data product from a subset of data and produces some images with maps and graphs. Special client programs are used to access the database and visualize and validate the data. The increasing prevalence of relational databases has led to their use for managing environmental data as well.

This flag should be set as a result of data visualisation by a local expert, and this information states that this value corresponds to the expected value range for a given parameter, location and time. Oceanographic data validation additionally involves setting the “validation factor” that describes the quality of the data. Traditionally, spatio-temporal (environmental) data are collected, validated, and stored in a file system using specialized software.

Ocean data view