An Optimization-based Matching Method and its Application in Merging Administrative Boundary Data
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Issue Date
2019-11-13Author
Lei, Ting
Yang, Wenjun
Publisher
GIS Day @ KU Planning Committee
Type
Presentation
Published Version
http://gis.ku.edu/gisday/2019/Metadata
Show full item recordAbstract
As a critical data management task, conflation in GIS aims to determine the corresponding features from different datasets that in reality represent the same entities. This is called feature matching, which is used as a guidance to merge attributes of corresponding features between datasets. Based on the classification of features, there are point, polyline, and polygon matching methods. This study focuses on matching polygons and explores optimization–based matching methods for conflating two datasets.
Description
This presentation was given as part of the GIS Day@KU symposium on November 13, 2019. For more information about GIS Day@KU activities, please see http://gis.ku.edu/gisday/2019/
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