Spatial data quality and transportation application
Fekpe, Edward
The quality of spatial data can be defined as its fitness for use. Data that are appropriate for use with one application may not be fit for use with another. Different users have different perceptions as to the importance of data quality. Measures of quality of geographic information include positional accuracy, thematic accuracy, temporal accuracy, logical consistency, completeness, data status, and lineage. The primary sources of error associated with spatial data are: acquisition or measurement, processing, and presentation or visualization. Spatial data has little or no value to transportation applications without any attribute data attached to it. Positional data are used for a wide range of transportation applications including accident analysis, transportation demand modeling, infrastructure management, transportation policy analysis, commercial vehicle operations, transit operations, and intelligent transportation systems. Some applications are more sensitive to quality than others. It is recommended that statements of spatial data quality should accompany the use or transfer of all spatial data.
Event: 5th FIG Regional Conference for Africa : Promoting Land Administration and Good Governance
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