Source:
Geo-information for Disaster Management (Gi4DM), Prague/Cz, p.76 (2009)
URL:
http://c4c.geogr.muni.cz/programme1.html
Keywords:
SANY; Sensors Anywhere; Cartography
Abstract:
Environmental management provides new challenges for Web Cartography. Decisions must be rapidly taken based on cartographic visualizations of the most accurate data available. Moreover, standards-based interoperability is a necessity when data must be collated from various systems.
However, the Web Map Service (WMS) standard is normally too limited to be considered as an option for trained cartographers. In comparison with the recent developments in cartographic interfaces for Web-based Atlas information Systems, the WMS lacks in advanced cartographic functionalities and is improper, from a cartographer’s point of view, for producing high quality cartographic representations for the Web.
The apparent paradox of creating cartographic visualizations based on open standards was solved in the frame of two major European projects, namely ORCHESTRA (Open Architecture and Spatial Data Infrastructure for Risk Management) and SANY (Sensors Anywhere). For example, the IST - 6th Framework Integrated Project SANY, focuses on interoperability of in-situ sensors and sensor networks. In this context, sensors serve as an extreme
illustration for the dynamic nature of spatial information that must be represented in the form of maps.
Therefore visualisation of spatial information is a task best performed by Cartographic Web Services. The Cartographic Web Service designed for the ORCHESTRA and SANY architectures, namely the Map and Diagram Service, can be used for all phases of the disaster management cycle. It empowers cartographers in achieving correct representations while maintaining compatibility with existing standards. Extensions for the Styled Layer
Descriptor (SLD) and Symbology Encoding (SE) standards allow cartographic rules to be expressed for every purpose and without limitations, including advanced point symbolisation, patterns for all spatial features, gradients and, most importantly, thematic mapping.
Notes:
N/A
