Home // GEOProcessing 2014, The Sixth International Conference on Advanced Geographic Information Systems, Applications, and Services // View article

Conflation in Geoprocessing Framework - Case Studies

Authors:
Dan Lee
Weiping Yang
Nobbir Ahmed

Keywords: conflation; geoprocessing, feature matching; change detection; spatial adjustment; attribute transfer; workflow

Abstract:
Multiple sources of geographic information systems (GIS) data have been more easily and frequently produced and updated than ever. Yet, the traditional problem of data inconsistency spatially and in attribution, as the result of different ways of collecting and modeling data over time, remains obstacles in using the data for analysis and mapping. Efficient tools for data conflation have become a necessity for GIS users. Our recent work on conflation tools for the 10.2.1 desktop release of ArcGIS (the commercial GIS software by Esri Inc.) focused on linear feature matching techniques for identifying matching and no-match features. The initial results have proven time-saving in reconciling data for better positional and attribute quality and harmonization. Future challenges lay in formalizing data preparation, handling other feature types, and optimizing feature matching and workflows.

Pages: 58 to 63

Copyright: Copyright (c) IARIA, 2014

Publication date: March 23, 2014

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-326-1

Location: Barcelona, Spain

Dates: from March 23, 2014 to March 27, 2014