The growing availability of spatial data along with growing ease to use the spatial data
(thanks to wide-scale adoption of GIS) have made it possible to use spatial data in …

This article reflects on the past 30 years of academic research in the field of spatial data
quality and tries to identify the main achievements, failures, and opportunities for future …

This paper reflects upon the topic of spatial data quality and the progress made in this field
over the past 20-30 years. While international standards have been established, theoretical …

For almost 20 years now, spatial data providers have been creating and publishing
metadata records for their products. One intention of the metadata, which includes detailed …

Spatial Data Quality: Concepts Page 1 Chapter 2 Spatial Data Quality: Concepts 2.1. Introduction
“All models are wrong, but some are useful” [BOX 76]. Geospatial data are a “model of reality” …

The context within which geospatial data are used has changed significantly during the past
ten years. Users have now easier access to geospatial data but typically have less …

Geospatial data users increasingly face the need to assess how datasets fit an intended use.
However, information describing data quality is typically difficult to access and understand …

Elements of Spatial Data Quality outlines the need and suggests potential categories for the
content of a comprehensive statement of data quality that must be imbedded in the metadata …

To date, spatial data quality management has predominantly consisted of documenting
processes and measuring errors with less concern about meeting users' varying needs …

As research in the geosciences and social sciences becomes increasingly dependent on
computers, applications such as geographical information systems are becoming …