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Analysis of positional uncertainty of road networks in volunteered geographic information with a statistically defined buffer-zone method

Analysis of positional uncertainty of road networks in volunteered geographic information with a statistically defined buffer-zone method
Analysis of positional uncertainty of road networks in volunteered geographic information with a statistically defined buffer-zone method
Volunteered geographic information (VGI) is crowdsourced information that can enrich and enhance research and applications based on geo-referenced data. However, the quality of VGI is of great concern, and positional accuracy is a fundamental basis for the VGI quality assurance. A buffer-zone method can be used for its assessment, but the buffer radius in this technique is subjectively specified; as result, different selections of the buffer radius lead to different positional accuracies. To solve this problem, a statistically defined buffer zone for the positional accuracy assessment in VGI is proposed in this study. To facilitate practical applications, we have also developed an iterative method to obtain a theoretically defined buffer zone. In addition to the positional accuracy assessment, we have derived a measure of positional quality, which comprises the assessment of positional accuracy and the level of confidence in such assessment determined with respect to a statistically defined buffer zone. To illustrate and substantiate the theoretical arguments, both numerical simulations and real-life experiments are performed using OpenStreetMap. The experimental results confirm the high significance of the proposed statistical approach to the buffer zone-based assessment of the positional uncertainty in VGI.
1365-8816
1807-1828
Zhang, Wen-Bin
a4ab325c-e9cb-4369-959b-25a3320bb4e3
Leung, Yee
3c91651b-9061-44ad-9b31-ea21a80bf70a
Ma, Jiang-Hong
7437d7c2-9572-4d4d-8190-898e637b2fda
Zhang, Wen-Bin
a4ab325c-e9cb-4369-959b-25a3320bb4e3
Leung, Yee
3c91651b-9061-44ad-9b31-ea21a80bf70a
Ma, Jiang-Hong
7437d7c2-9572-4d4d-8190-898e637b2fda

Zhang, Wen-Bin, Leung, Yee and Ma, Jiang-Hong (2019) Analysis of positional uncertainty of road networks in volunteered geographic information with a statistically defined buffer-zone method. International Journal of Geographical Information Science, 33 (9), 1807-1828. (doi:10.1080/13658816.2019.1606430).

Record type: Article

Abstract

Volunteered geographic information (VGI) is crowdsourced information that can enrich and enhance research and applications based on geo-referenced data. However, the quality of VGI is of great concern, and positional accuracy is a fundamental basis for the VGI quality assurance. A buffer-zone method can be used for its assessment, but the buffer radius in this technique is subjectively specified; as result, different selections of the buffer radius lead to different positional accuracies. To solve this problem, a statistically defined buffer zone for the positional accuracy assessment in VGI is proposed in this study. To facilitate practical applications, we have also developed an iterative method to obtain a theoretically defined buffer zone. In addition to the positional accuracy assessment, we have derived a measure of positional quality, which comprises the assessment of positional accuracy and the level of confidence in such assessment determined with respect to a statistically defined buffer zone. To illustrate and substantiate the theoretical arguments, both numerical simulations and real-life experiments are performed using OpenStreetMap. The experimental results confirm the high significance of the proposed statistical approach to the buffer zone-based assessment of the positional uncertainty in VGI.

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Accepted/In Press date: 7 April 2019
e-pub ahead of print date: 29 April 2019

Identifiers

Local EPrints ID: 490420
URI: http://eprints.soton.ac.uk/id/eprint/490420
ISSN: 1365-8816
PURE UUID: 63fcaf13-dea9-498e-906d-989f110a6c66
ORCID for Wen-Bin Zhang: ORCID iD orcid.org/0000-0002-9295-1019

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Date deposited: 24 May 2024 17:09
Last modified: 15 Jun 2024 02:09

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Contributors

Author: Wen-Bin Zhang ORCID iD
Author: Yee Leung
Author: Jiang-Hong Ma

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