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Abstract
Using Digital Quality Assurance Routines for Checking Converted Data
Track: Database Design, Automation, and Management
Author(s): Janette Lovely
One of the most important and challenging tasks of GIS implementation is performing quality assurance and quality control (QA/QC) of converted data. Pressure from schedules, a significant increase in workload, and the tediousness of the task all contribute to the difficulty of allotting QA/QC the attention it deserves. Fortunately, digital quality assurance routines can be developed to perform many routine checks and analyses. This paper will describe the process and illustrate the Arc Macro Language (AML) scripts that were used for quality assurance of coverage, SDE, and SQL Server data at the City of Franklin, WI.
Janette Lovely
PlanGraphics, Inc.
112 East Main St
Frankfort , KY 40601
USA
Phone: 502-223-1501
Fax: 502-223-1235
E-mail: jlovely@plangraphics.com