A Comparative Analysis of Programming Languages for GIS

A Comparative Analysis of Programming Languages for GISShort Description
Many GIS departments in organizations throughout the world have developed customized tools using an Environmental Systems Research Institute (ESRI) proprietary language named Avenue. Avenue is reaching the end of its life cycle, and will soon be unsupported. ESRI has moved on to new versions of its software, which is not backward compatible with Avenue. This project explores the various options available to GIS professionals in order to bring their customized tools up to date using the latest software.

Website: www.gis.smumn.edu | Filesize: 106kb
No of Page(s): 13

Content

GIS professionals may rewrite their customized GIS applications written in Avenue using many different languages and methods. Which of these is the best, in terms of development speed, execution speed, maintainability, and future scalability/ability to upgrade?
Although the GIS sector is made up of highly skilled and trained professionals, the subset of these people who also have computer programming skills is much smaller, and thus more expensive (Marble, 2005).
Careful planning and selection of a migration strategy is valuable in that it can save countless hours of research and development, and additionally save future development hours for inevitable further upgrades and migrations when Environmental Systems Research Institute (ESRI) and/or the rest of the computer industry moves to yet another software package.

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