Abstract
 Geospatial Statistical Quality Management: Integration of MIL-STD-1916 and ISO 19114:2003 Track: GIS Organization, Management, and Implementation Author(s): Charles Gillies Augmented geospatial data production directly impacts the requirements and associated costs of Quality Assurance inspections. Complete inspections (100 percent) and their findings may be variable, time-consuming, and result in diminishing returns and loss of productivity. With the introduction of standardized sampling processes and efficient quality management procedures, based on accepted standards and quantitative methods, quality assurance requirements may be reduced without any deterioration in the degree of acceptable quality. Two sets of standards, military (MIL-STD-1916) and international (ISO19114:2003), can be combined into a methodological framework for the development of quality assessment procedures. MIL-STD-1916 addresses product testing using industry-accepted statistical techniques, while ISO 19114 focuses on specific geospatial data quality assurance procedures. By integrating geospatial analytical tools with random statistical sampling in ArcGIS PLTS ReViewer, a functional quality management system for quality inspections may be developed that will increase productivity and provide consistent results and quality metrics. Charles Gillies the Boeing Company Mission Systems 7700 Boston Blvd Springfield , VA 22153 US Phone: 703-270-6667 E-mail: charles.gillies@boeing.com |
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