Maps@awi is a catalogue platform offering public access to scientific research projects displayed as interactive maps. Maps@awi enables researchers to present their scientific work and results by visualizing their data in a geospatial and environmental context. The general concept of maps@awi is the creation of data services with Geographic Information Systems software (GIS). GIS provides the ability to create maps on a multilayer data concept based on the geographical position. This is unique and simultaneously offers the integration of data layers of diverse measurements. Every data layer presented in maps@awi is individually visible and contains information like legends, and other describing information explaining the data shown. Additionally, the scientific data layers accompanied by layers containing background information such as e.g. base maps, rivers, lakes, or any other topographical feature data. This enhances the presentation of the scientific results in an easily understandable way. All data layers belonging to a specific scientific selection/project are embedded in a viewer application further supporting the presentation of the scientific data layers by the implementation of e.g. categorical and time filters and other interactive functionalities. Users can create sub-selections of the visualized data by their own, enabling a better understanding of the data and/or do some hands on exploring of the project and its characteristics. The projects contained in maps@awi can either be static data projects, near real time data projects or a combination of both. This depends on the data availability line, to having maps that show the hourly, daily, monthly or yearly resolution of data over time as they come in.

The viewer application comes with three tabs, a data layer listing tab, a tab with detailed project information as well as one that lists project partners and scientists who are in charge off the project, the data selection and the way of its presentation. Main goal of maps@awi is telling scientific stories by providing unique insides into the diversity of research fields and results.

Technical information: The major components of this established framework rely on ArcGIS for Server, a PostgresSQL database including Spatial Database Engine (SDE) and desktop GIS software. It is part of the O2A data flow framework at AWI.



Antonie Haas AWI, email: antonie.haas(at)