An analysis of the spatial and temporal distribution of large‐scale data production events in OpenStreetMap

Grinberger, A. Yair; Schott, Moritz; Raifer, Martin; Zipf, Alexander

doi:10.1111/tgis.12746

Cited by 17 publications

(14 citation statements)

References 35 publications

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“…Open-data sources with global scope offer opportunities to measure and analyse urban health and sustainability indicators in diverse geographical contexts. [14][15][16][17][18] In particular, OpenStreetMap (OSM) is a crowdsourced mapping project that provides open access to regularly updated spatial data worldwide, coded according to consistent and community-led guidelines. 19 This article addresses the need to better measure, map, and compare urban design and transport features important for creating healthy and sustainable cities.…”

Section: Within-city Versus Between-city Spatial Indicatorsmentioning

confidence: 99%

“…Open-data sources with global scope offer opportunities to measure and analyse urban health and sustainability indicators in diverse geographical contexts. 14 , 15 , 16 , 17 , 18 OpenStreetMap (OSM) is a crowdsourced mapping project that provides open access to regularly updated spatial data worldwide, coded according to consistent and community-led guidelines. 19 …”

Section: Introductionmentioning

confidence: 99%

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Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities

Boeing

Higgs

Liu

et al. 2022

The Lancet Global Health

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Section: Within-city Versus Between-city Spatial Indicatorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities

Boeing

Higgs

Liu

et al. 2022

The Lancet Global Health

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“…While the footprints serve as a good starting point, incorporation into the OSM database and significant tagging activity are still required before the dataset becomes useful. Tagging and geometry refining activity are mostly associated with local communities as they require significant amount of local knowledge to accomplish (Grinberger, Schott, Raifer, & Zipf, 2021). Thus, collaborations and interactions even in the realm of data production happen in multiple dimensions which cannot be quantified by looking at the OSM database history.…”

Section: Discussionmentioning

confidence: 99%

Corporate editors in OpenStreetMap: Investigating co‐editing patterns

Sarkar

Anderson²

2022

Transactions in GIS

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Traditionally, OpenStreetMap (OSM) has been recognized as a volunteered geographic information (VGI) project. In recent years, many corporations have enlisted teams of mappers to edit data on OSM. These teams of corporate editors (CEs) can quickly edit large swaths of data using a variety of methods. Consequently, there are new tensions over possible community bifurcations where editing and map stewardship disagreements may occur between the CEs and non‐CEs. To characterize CE and non‐CE editing interactions, we focused on six locations with varied types of corporate editing activity. We created six temporal (2015–2020) editing networks for each location, resulting in 36 total networks. We found a continual increase in the number of editors, with more growth in places with CEs. There was significant co‐editing between the two groups, with CEs showing more in‐group editing patterns, both in terms of number of edits and time between edits. We conclude that currently the CE and the non‐CE communities continue to co‐exist and co‐produce open geospatial data in apparent harmony, even though the size of the CE community and volume of contributions have grown significantly. Finally, we discuss implications for OSM as a VGI project in light of our corporate editing trends.

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“…Detailed and very up-to-date investigations of larger data production events were carried out by Schott et al [33] and Grinberger et al [34]. In this study, however, the focus does not lie on event-based data production, but the importation of data sets.…”

Section: Related Workmentioning

confidence: 96%

Analysing the Impact of Large Data Imports in OpenStreetMap

Witt¹,

Loos²,

Zipf

2021

IJGI

Self Cite

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OpenStreetMap (OSM) is a global mapping project which generates free geographical information through a community of volunteers. OSM is used in a variety of applications and for research purposes. However, it is also possible to import external data sets to OpenStreetMap. The opinions about these data imports are divergent among researchers and contributors, and the subject is constantly discussed. The question of whether importing data, especially large quantities, is adding value to OSM or compromising the progress of the project needs to be investigated more deeply. For this study, OSM’s historical data were used to compute metrics about the developments of the contributors and OSM data during large data imports which were for the Netherlands and India. Additionally, one time period per study area during which there was no large data import was investigated to compare results. For making statements about the impacts of large data imports in OSM, the metrics were analysed using different techniques (cross-correlation and changepoint detection). It was found that the contributor activity increased during large data imports. Additionally, contributors who were already active before a large import were more likely to contribute to OSM after said import than contributors who made their first contributions during the large data import. The results show the difficulty of interpreting a heterogeneous data source, such as OSM, and the complexity of the project. Limitations and challenges which were encountered are explained, and future directions for continuing in this field of research are given.

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An analysis of the spatial and temporal distribution of large‐scale data production events in OpenStreetMap

Cited by 17 publications

References 35 publications

Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities

Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities

Corporate editors in OpenStreetMap: Investigating co‐editing patterns

Analysing the Impact of Large Data Imports in OpenStreetMap

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