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The information zone system
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Communications of the ACM archive
Volume 38 ,  Issue 4  (April 1995) table of contents
Pages: 46 - 47  
Year of Publication: 1995
ISSN:0001-0782
Authors
Charles Kacmar  Florida State Univ., Tallahassee
Dean Jue  Florida State Univ., Tallahassee
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 20,   Citation Count: 3
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ABSTRACT

Spatial data is complex data composed of hundreds or thousands of attribute/value pairs that define logical, physical, and abstract geographic features. It has traditionally been available to researchers and other users as paper maps, but it is now commonplace to collect and distribute spatial data as structured graphical elements (e.g., vectors) and their associated relational data sets, or as scanned images (when no analysis is necessary). Even though vast stores of spatial data exist, awareness of and access to these data sets, images, and related documents remain tremendous problems [2]. This situation is due in part to the lack of integration between geographic information systems (GIS), storage management, and network tools. It also is due to the dependence on text-based menus and queries to support access. Text-based access is inconsistent for many spatial data users since users conceptualize and data is organized by geographic location [1].


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Adlam, K., Clayton, A., and Kelk, B. A 'demonstrator' lor the National Geosciences Data Index. Int. Jour. Geographic Inf. Syst., 2, (1988), pp. 161-170.
 
2


Collaborative Colleagues:
Charles Kacmar: colleagues
Dean Jue: colleagues