LI 861 XI and XJ Current Topics in Information Transfer:
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![]() Photo date 12/2005 © S.W. Aber |
| Classification | Alphabetic Classification Scheme |
| Numeric Classification Scheme | Alphanumeric Classification Scheme |
| LC Subject Code | Spatial Data |
| Conclusions | References and Readings |
This course was first offered for university credit in the spring 2007 semester. Visit Course Schedule and Syllabi to see when it will be taught again for ESU, slim.emporia.edu/program/syllabus/syllabus.htm. Or if you are interested in taking this course on the resources and services associated with map librarianship, please contact Dr. Aber at saber@emporia.edu.
Sample - Classification
Libraries systematically classify materials in categories, according to subject and form, so they can be easily retrieved by client and librarian. A classification scheme needed for cartographic materials should be widely accepted by libraries and easily applied to collections. The scheme should be one that is periodically revised and largely inclusive of books and serials, as well as maps, sections, charts, plans, views, globes, atlases, models, diagrams, remotely sensed images and data. Unfortunately, no one classification scheme is universally accepted because one size does not fit all non-book formats. Classification is a subjective process and where adopted, these systems are alphabetic, numeric, or alphanumeric.
Alphabetic Classification
Alphabetic systems use natural language. They are easily applied to collections by staff, and individual resources are easily located by clients. Alphabetic systems work best for small collections of maps, sections, plans, and diagrams, and these spatial materials can be filed by continent or region and subdivided by political unit. However, this classification scheme may not work as well for atlases, globes, and remotely sensed images and the system can become unwieldy for larger collections.
This page was for the use and benefit of students enrolled at Emporia State University, School of Library and Information Management slim.emporia.edu/. For more information contact the course instructor, S. W. Aber, e-mail: saber@emporia.edu Thanks for visiting! Webpage created: December, 2006; last update: June 17, 2008.