Assessment of Logical Consistency in OpenStreetMap Based on the Spatial Similarity Concept

Hashemi, Peyman; Abbaspour, Rahim Ali

doi:10.1007/978-3-319-14280-7_2

Cited by 50 publications

(33 citation statements)

References 16 publications

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“…Hashemi et al [31] have assessed the logical consistency; Ballatore et al [6], the conceptual quality; and Vandecasteele et al [32] and Mooney et al [13] have discussed the influence of the tagging process on data quality. Some intrinsic quality measures have been discussed by Mooney et al [33] and Gröchenig et al [11].…”

Section: Introductionmentioning

confidence: 99%

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Mocnik

Mobasheri

Zipf

2018

Open geospatial data, softw. stand.

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OpenStreetMap and other Volunteered Geographic Information datasets have been explored in the last years, with the aim of understanding how their meaning is rendered, of assessing their quality, and of understanding the community-driven process that creates and maintains the data. Research mostly focuses either on the data themselves while ignoring the social processes behind, or solely discusses the community-driven process without making sense of the data at a larger scale. A holistic understanding that takes these and other aspects into account is, however, seldom gained. This article describes a server infrastructure to collect and process data about different aspects of OpenStreetMap. The resulting data are offered publicly in a common container format, which fosters the simultaneous examination of different aspects with the aim of gaining a more holistic view and facilitates the results' reproducibility. As an example of such uses, we discuss the project OSMvis. This project offers a number of visualizations, which use the datasets produced by the server infrastructure to explore and visually analyse different aspects of OpenStreetMap. While the server infrastructure can serve as a blueprint for similar endeavours, the created datasets are of interest themselves too.

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Section: Introductionmentioning

confidence: 99%

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Mocnik

Mobasheri

Zipf

2018

Open geospatial data, softw. stand.

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“…A number of quality parameters can be measured through this kind of intrinsic assessments: examples are logical consistency (see e.g. Vandecasteele and Devillers, 2015;Hashemi and Abbaspour, 2015) and temporal accuracy (see e.g. Girres and Touya, 2010;Jokar Arsanjani et al, 2013).…”

Section: Openstreetmap Quality Assessmentmentioning

confidence: 99%

An Open Source Approach for the Intrinsic Assessment of the Temporal Accuracy, Up-to-Dateness and Lineage of Openstreetmap

Minghini

Brovelli

Francesco

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:OpenStreetMap (OSM) is the most popular crowdsourced geographic information project. The main factor that still limits the practical use of OSM is the lack of quality assurance. OSM quality assessment is thus a well-studied topic in literature, with most of the studies evaluating the quality by comparison against reference datasets. In contrast to these extrinsic approaches, OSM intrinsic assessment evaluates the quality by only analysing OSM itself. This study contributes to OSM intrinsic assessment by introducing an open source procedure to evaluate the temporal accuracy, up-to-dateness and lineage of OSM. Two workflows are presented: the first allows accessing the historical evolution of single OSM objects through an interactive web application, while the second aggregates and stores results on a user-defined grid to enable further GIS processing. The methodology is applied on the OSM nodes in the city of Dar es Salaam, Tanzania, by computing the following measures on the cells of an hexagonal grid: total number of nodes, average date of creation and last edit of nodes, average update frequency of nodes, average number of versions of nodes, average and total number of different contributors on nodes. Results highlight the mapping dynamics driven by the Dar Ramani Huria project, focused on increasing flood preparedness and resilience. When moving from the peripheral areas to the city centre, OSM is characterized by a progressively higher density of nodes, created earlier in time and updated by a higher number of contributors, which are all indexes of a general higher data quality.

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“…Logical consistency of an observation makes little sense in isolation: it must usually be assessed with reference to other data from the same source, or from independent (and sometimes authoritative) data, and lends itself to automated quality assessment -for example, to the use of rules such as 'forest fires are highly unlikely in dense urban areas' . Hashemi and Ali Abbaspour (2015) used the concept of spatial similarity in a multi-representation data combination to build a framework to determine the probable inconsistencies in OSM, aiming to help in evaluating the logical consistency of VGI data. Bonter and Cooper (2012) discuss the use of a smart filter system in the context of species identification in Project FeederWatch: when participants enter counts of species that are too high or species that do not normally appear on standard lists, the filter is activated and users are informed of unusual observations, thereby correcting potential errors in real-time.…”

Section: Logical Consistencymentioning

confidence: 99%

Assessing VGI Data Quality

Fonte

Antoniou

Bastin

et al. 2017

Mapping and the Citizen Sensor

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Uncertainty over the data quality of Volunteered Geographic Information (VGI) is the largest barrier to the use of this data source by National Mapping Agencies (NMAs) and other government bodies. A considerable body of literature exists that has examined the quality of VGI as well as proposed methods for quality assessment. The purpose of this chapter is to review current data quality indicators for geographic information as part of the ISO 19157 (2013) standard and how these have been used to evaluate the data quality of VGI in the past. These indicators include positional, thematic and temporal accuracy, completeness, logical consistency and usability. Additional indicators that have 138 Mapping and the Citizen Sensor been proposed for VGI are then presented and discussed. In the final section of the chapter, the idea of integrated indicators and workflows of quality assurance that combine many assessment methods into a filtering system is highlighted as one way forward to improve confidence in VGI.

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Assessment of Logical Consistency in OpenStreetMap Based on the Spatial Similarity Concept

Cited by 50 publications

References 16 publications

Open source data mining infrastructure for exploring and analysing OpenStreetMap

Open source data mining infrastructure for exploring and analysing OpenStreetMap

An Open Source Approach for the Intrinsic Assessment of the Temporal Accuracy, Up-to-Dateness and Lineage of Openstreetmap

Assessing VGI Data Quality

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