Integrating Spatial Data Infrastructures (SDIs) with Volunteered Geographic Information (VGI) for creating a Global GIS platform

Foody, Giles M.; See, Linda; Fritz, Steffen; Mooney, Peter; Olteanu‐Raimond, Ana‐Maria; Fonte, Cidália C.; Antoniou, Vyron

doi:10.5334/bbf.l

Cited by 7 publications

(7 citation statements)

References 13 publications

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“…In this paper, [ [23]], author explains that spatial data infrastructures (SDIs) and volunteered geographic information (VGI) are two types of systems that allow for the collection and dissemination of geographic data. SDIs are typically developed and maintained by governments or other organizations, while VGI is contributed by individuals or groups on a voluntary basis.…”

Section: Integrating Sdis With Vgi For Creating a Global Gis Platformmentioning

confidence: 99%

Volunteered Geographic Information (VGI) in Spatial Data Infrastructure (SDI) Continuum

Shahi

2023

EAI Endorsed Trans IoT

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Spatial data infrastructure (SDI) is a system that supports the management and use of geospatial data and related resources. It involves the creation and maintenance of a network of organizations, people, and technology that enables the sharing of geospatial data across sectors and stakeholders. In recent years, the growth of geospatial data and the increasing reliance on it by various sectors has led to the emergence of new trends in SDI, such as the use of cloud computing and big data analytics, the integration of geospatial data with other types of data, and the emphasis on open data and data interoperability. Volunteered geographic information (VGI) refers to geospatial data that is collected and contributed by individuals or groups, rather than traditional sources using the application of web 2.0 and location based applications, social media, mobile devices or say citizens as the censors. Crowdsourcing in geospatial data generation concept of VGI has changed the traditional concept of SDI having one way relationship as producers and users to the user driven SDI, where user create diverse, high quality data (spatial, temporal, attribute) and also use the data interoperable, transparently, world widely and free of cost. Various authors have discussed about the application of VGI in the world of the digital data and also point outs the possibility of integration of VGI in SDI as the starting of the new generation of SDI in the form of Global GIS platform, Data Spaces, System of Systems (SoS), Geoverse, Digital Earth, Digital Twin, Virtual Geographic Environment (VGEs). However, there exists multiple VGI challenges such as data quality, data structure, data differentiation, data copyright, and data confidentiality and privacy, but with the proper cooperation and partnerships, policy and legal arrangements, standard developments, financial arrangements, inter/intra communication and added advantages of web 3.0, concept of Global Digital Ecosystem containing Geoverse, SDI and SoS is possible. Hence, VGI is the present and also the future in this SDI continuum.

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Section: Integrating Sdis With Vgi For Creating a Global Gis Platformmentioning

confidence: 99%

Volunteered Geographic Information (VGI) in Spatial Data Infrastructure (SDI) Continuum

Shahi

2023

EAI Endorsed Trans IoT

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“…It has been more than a decade since the author of [21] defined VGI as 'the harnessing of tools to create, assemble, and disseminate geographic data provided voluntarily by individuals'. Since then, VGI activities ranging from contributions to online crowdsourced mapping to location-related posts on social media contributions, along with digital transformation, have transformed the process of acquiring or providing geospatial data, largely influencing traditional authoritative systems and creating new forms of public engagement based on voluntary contributions [12,[22][23][24][25]. VGI attributes, such as its timeliness-reflecting spatial dynamics [26], facilitating multidirectional communication, increasing situational awareness, and enabling collective intelligence, may outperform traditional geospatial datasets [22,27].…”

Section: Introductionmentioning

confidence: 99%

A Framework for Scaling Urban Transformative Resilience through Utilizing Volunteered Geographic Information

Moghadas

Rajabifard

Fekete

et al. 2022

IJGI

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Resilience in the urban context can be described as a continuum of absorptive, adaptive, and transformative capacities. The need to move toward a sustainable future and bounce forward after any disruption has led recent urban resilience initiatives to engage with the concept of transformative resilience when and where conventional and top-down resilience initiatives are less likely to deliver effective strategies, plans, and implementable actions. Transformative resilience pathways emphasize the importance of reflexive governance, inclusive co-creation of knowledge, innovative and collaborative learning, and self-organizing processes. To support these transformative pathways, considering techno-social co-evolution and digital transformation, using new data sources such as Volunteered Geographic Information (VGI) and crowdsourcing are being promoted. However, a literature review on VGI and transformative resilience reveals that a comprehensive understanding of the complexities and capacities of utilizing VGI for transformative resilience is lacking. Therefore, based on a qualitative content analysis of available resources, this paper explores the key aspects of using VGI for transformative resilience and proposes a comprehensive framework structured around the identified legal, institutional, social, economic, and technical aspects to formalize the process of adopting VGI in transformative resilience initiatives.

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“…One consideration when deciding between accuracy improvement and new data acquisition must be the possible impact of errors when a dataset is used in the real world -a balancing act similar to the calculation of ROC (Receiver Operating Characteristic) curves or sensitivity/specificity calculations for classifiers and prediction algorithms. The problem of risk and liability, when considered in the VGI world, is usually sidestepped through the use of disclaimers, but if VGI begins to seriously underpin Spatial Data Infrastructures (SDIs) -see Chapter 12 (Demetriou et al, 2017) -and commercial products, the issue will become more pressing.…”

Section: Thematic Accuracymentioning

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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Integrating Spatial Data Infrastructures (SDIs) with Volunteered Geographic Information (VGI) for creating a Global GIS platform

Cited by 7 publications

References 13 publications

Volunteered Geographic Information (VGI) in Spatial Data Infrastructure (SDI) Continuum

Volunteered Geographic Information (VGI) in Spatial Data Infrastructure (SDI) Continuum

A Framework for Scaling Urban Transformative Resilience through Utilizing Volunteered Geographic Information

Assessing VGI Data Quality

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