Abstract：
:This article presents datasets prepared with the aim of helping the evaluation of geospatial matching methods for vector data. These datasets were built up from mapping data produced by official Spanish mapping agencies. The testbed supplied encompasses the three geometry types: point, line and area. Initial datasets were submitted to geometric transformations in order to generate synthetic datasets. These transformations represent factors that might influence the performance of geospatial matching methods, like the morphology of linear or areal features, systematic transformations, and random disturbance over initial data. We call our 11 GiB benchmark data 'MatchingLand' and we hope it can be useful for the geographic information science research community.
journal_name
Sci Datajournal_title
Scientific dataauthors
Xavier EMA,Ariza-López FJ,Ureña-Cámara MAdoi
10.1038/sdata.2017.180subject
Has Abstractpub_date
2017-12-05 00:00:00pages
170180issn
2052-4463pii
sdata2017180journal_volume
4pub_type
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