Latest revision as of 23:13, 22 March 2021

Abstract

The updating of changing information plays a significant role in ensuring the quality of OpenStreetMap, which is usually completed by mapping the whole changing objects with a high degree of uncertainty. The incremental object-based approach provides opportunities to reduce the unreliability of data, while challenges of data inaccuracy and redundancy remain. This paper provides an incremental outline-based approach for OpenStreetMap data updating to solve this issue. First, incremental outlines are delineated from the changed objects and distinguished through a spatial classification. Then, attribute information corresponding to incremental outlines is proposed to assist in describing the physical changes. Finally, through a geometric calculation based on both the spatial and attribute information, updating operations are constructed with a variety of rules to activate the data updating process. The proposed approach was verified by updating an area in the OpenStreetMap datasets. The result shows that the incremental outline-based updating approach can reduce both the time and storage costs compared to incremental objects and further improve data quality in the updating process.

Document type: Article

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The different versions of the original document can be found in:

• http://dx.doi.org/10.3390/ijgi7070277 under the license https://creativecommons.org/licenses/by

• http://dx.doi.org/10.3390/ijgi7070277 under the license http://creativecommons.org/licenses/by/3.0/

• https://www.mdpi.com/2220-9964/7/7/277/pdf under the license https://creativecommons.org/licenses/by/4.0

• http://www.mdpi.com/2220-9964/7/7/277,

https://doaj.org/toc/2220-9964 under the license cc-by

• http://www.mdpi.com/2220-9964/7/7/277/pdf,

http://dx.doi.org/10.3390/ijgi7070277

• https://www.mdpi.com/2220-9964/7/7/277,

https://dblp.uni-trier.de/db/journals/ijgi/ijgi7.html#XingMCSF18,

https://www.mdpi.com/2220-9964/7/7/277/pdf,

http://ui.adsabs.harvard.edu/abs/2018IJGI....7..277X/abstract,

https://doi.org/10.3390/ijgi7070277,

https://academic.microsoft.com/#/detail/2884218187 under the license https://creativecommons.org/licenses/by/4.0/