- When the Spatial Data Transfer Standard is adopted as a Federal
Information Processing Standard, a Quality Report containing sections on lineage,
accuracy, logical consistency, and completeness will be required of agencies
producing digital cartographic data. This Quality Report diverges significantly from
the "U.S. National Map Accuracy Standards", in place for manually produced maps,
and presents some unknowns in terms of format and cost of conformance.
This paper develops procedures for testing the effects of the geometric
coordinate transformations in the digital portion of data lineage that could serve as
tools in evaluating digital map and Geographic Information System (GIS) software as
well as a format for reporting data quality in the Quality Report. These procedures
are then applied to a specific case using the base theme layers and data handling
procedures from the Bureau of Land Management's Western Oregon Digital Data
Base (WODDB). Artificial cartographic objects in point, line, and polygon data
structures were created to scale in state plane feet and translated from AutoCAD to
ADS to MOSS, repeating the steps and using the hardware and software
configuration employed in the WODDB GIS project. The coordinate pairs resulting
from each transformation were compared to the originals for accuracy and logical
consistency. The graphic outputs were inspected for attribute accuracy and
completeness. Results indicate that the relative positional accuracy of coordinate
pairs within each model maintains logical consistency. Logical consistency is not
maintained from model to model and this lack manifests itself as discontinuous line
segments across model boundaries. Attribute accuracy and completeness are not
negatively affected by the tested lineage.
This approach and testing methodology could be used as a prototype for
further testing of the WODDB data base and other GIS data bases where the effects
of lineage are unknown.
- File scanned at 300 ppi (Monochrome, 24-bit Color) using ScandAll PRO 1.8.1 on a Fi-6670 in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
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