MatchingLand, geospatial data testbed for the assessment of matching methods

• Published in: Scientific data Vol. 4; no. 1; p. 170180
• Main Authors: Xavier, Emerson M. A., Ariza-López, Francisco J., Ureña-Cámara, Manuel A.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 05-12-2017; Nature Publishing Group
• Subjects: 639/705/258; 706/2808; Data Descriptor; Datasets; Humanities and Social Sciences; Mapping; multidisciplinary; Science
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/sdata.2017.180

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.
Design Type(s)
data integration objective • modeling and simulation objective
Measurement Type(s)
geographic feature
Technology Type(s)
computational modeling technique
Factor Type(s)
DataTypes
Sample Characteristic(s)
Andalucia Autonomous Community • building • road
Machine-accessible metadata file describing the reported data
(ISA-Tab format)