A method for matching crowd-sourced and authoritative geospatial data
A method for matching crowd-sourced and authoritative geospatial data is presented. A level of tolerance is defined as an input parameter as some difference in the geometry representation of a spatial object is to be expected. The method generates matches between spatial objects using location infor...
| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Wiley
2016
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| Online Access: | https://eprints.nottingham.ac.uk/33395/ |
| _version_ | 1848794622297374720 |
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| author | Du, Heshan Alechina, Natasha Jackson, Mike Hart, Glen |
| author_facet | Du, Heshan Alechina, Natasha Jackson, Mike Hart, Glen |
| author_sort | Du, Heshan |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | A method for matching crowd-sourced and authoritative geospatial data is presented. A level of tolerance is defined as an input parameter as some difference in the geometry representation of a spatial object is to be expected. The method generates matches between spatial objects using location information and lexical information, such as names and types, and verifies consistency of matches using reasoning in qualitative spatial logic and description logic. We test the method by matching geospatial data from OpenStreetMap and the national mapping agencies of Great Britain and France. We also analyze how the level of tolerance affects the precision and recall of matching results for the same geographic area using 12 different levels of tolerance within a range of 1 to 80 meters. The generated matches show potential in helping enrich and update geospatial data. |
| first_indexed | 2025-11-14T19:19:07Z |
| format | Article |
| id | nottingham-33395 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:19:07Z |
| publishDate | 2016 |
| publisher | Wiley |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-333952020-05-04T17:52:35Z https://eprints.nottingham.ac.uk/33395/ A method for matching crowd-sourced and authoritative geospatial data Du, Heshan Alechina, Natasha Jackson, Mike Hart, Glen A method for matching crowd-sourced and authoritative geospatial data is presented. A level of tolerance is defined as an input parameter as some difference in the geometry representation of a spatial object is to be expected. The method generates matches between spatial objects using location information and lexical information, such as names and types, and verifies consistency of matches using reasoning in qualitative spatial logic and description logic. We test the method by matching geospatial data from OpenStreetMap and the national mapping agencies of Great Britain and France. We also analyze how the level of tolerance affects the precision and recall of matching results for the same geographic area using 12 different levels of tolerance within a range of 1 to 80 meters. The generated matches show potential in helping enrich and update geospatial data. Wiley 2016-05-09 Article NonPeerReviewed Du, Heshan, Alechina, Natasha, Jackson, Mike and Hart, Glen (2016) A method for matching crowd-sourced and authoritative geospatial data. Transactions in GIS . ISSN 1361-1682 http://onlinelibrary.wiley.com/doi/10.1111/tgis.12210/full doi:10.1111/tgis.12210 doi:10.1111/tgis.12210 |
| spellingShingle | Du, Heshan Alechina, Natasha Jackson, Mike Hart, Glen A method for matching crowd-sourced and authoritative geospatial data |
| title | A method for matching crowd-sourced and authoritative geospatial data |
| title_full | A method for matching crowd-sourced and authoritative geospatial data |
| title_fullStr | A method for matching crowd-sourced and authoritative geospatial data |
| title_full_unstemmed | A method for matching crowd-sourced and authoritative geospatial data |
| title_short | A method for matching crowd-sourced and authoritative geospatial data |
| title_sort | method for matching crowd-sourced and authoritative geospatial data |
| url | https://eprints.nottingham.ac.uk/33395/ https://eprints.nottingham.ac.uk/33395/ https://eprints.nottingham.ac.uk/33395/ |