SRM Tutorial
DESCRIPTION: Accurately locating objects is key to the operation of any system which contains information about real-world entities. Consistency in description, nomenclature, and the treatment of models of the Earth and related spatial reference frames and coordinate systems is critical to achieving effective data interchange and system interoperability. The SRM provides the means to define a unified approach to representing spatial location information and precisely relating different descriptions of spatial location. The tutorial provides a detailed review of the SRM requirements; significant discussion of object reference surfaces and models, map projections, coordinate systems, and spatial reference frames; how and why modelers use coordinate systems (and the many issues which must be addressed in order to insure interoperability); issues in implementing precise and efficient coordinate transformations; and an overview of the SRM reference implementation software.
WHO SHOULD ATTEND: Anyone interested in gaining a more complete understanding of spatial referencing and coordinate systems, or intending to use the SRM reference implementation � whether as a stand-alone component, or as part of a SEDRIS-based application development project. Prior knowledge of other SEDRIS technologies is not required, however, some knowledge of the Data Representation Model (DRM) may be helpful.
WHAT TO EXPECT: At completion, the attendee should have gained an appreciation for the complexities involved in the proper use, and accurate description, of spatial locations, object/Earth reference surfaces and models, coordinate systems, and the spatial reference frames commonly used in the environmental representation / modeling community. Some mathematical formulations will be presented, however a strong mathematics background is not required in order to appreciate the results, and their implications for modelers. Illustrations and visual imagery will be used as much as practical in order to make complex topics accessible to the non-expert.