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Challenges in Crowdsourcing Geospatial Data to Replace or Enhance Official Sources

Clodoveu A. Davis


Urban dwellers demand geospatial data on various aspects of contemporary life. Governmental sources account for several important data categories, but not necessarily up-to-date, or even covering all aspects. Technologies such as smartphones allow citizens to become geospatial data producers and to contribute with valuable georeferenced data in near real time. Crowdsourced often has problems in aspects such as coverage, reliability and positional accuracy. This paper focuses on challenges that exist in the integration of geospatial data provided by governmental or corporate sources to crowdsourced data, provided dynamically and voluntarily by concerned citizens, or unconsciously through online tools and social networks.


Crowdsourcing; Urban Computing; Urban GIS; Volunteered Geographic Information

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Ballatore, A., MacArdle, G., Kelly, C., & Bertolotto, M. (2010). RecoMap: an interactive and adaptive map-based recommender. Paper presented at the ACM Symposium on Applied Computing, New York City (NY).

Borges, J., Jankowski, P., & Davis, C. A. (2015). Crowdsourcing for Geodesign: Opportunities and Challenges for Stakeholder Input in Urban Planning Cartography-Maps Connecting the World (pp. 361-373): Springer.

Borges, J. L. C., Jankowski, P., & Davis Jr., C. A. (2016). A study on the use of crowdsourced information for urban decision-making. Revista Brasileira de Cartografia, 68(4).

Chatfield, A., & Brajawidagda, U. (2014). Crowdsourcing hazardous weather reports from citizens via twittersphere under the short warning lead times of EF5 intensity tornado conditions. . Paper presented at the 47th Hawaii International Conference on System Science, Waikoloa, Hawaii.

Chen, Z., Fu, R., Zhao, Z., Liu, Z., Xia, L., Chen, L., . . . Zhang, C. J. (2014). gMission: a general spatial crowdsourcing platform. Paper presented at the 40th International Conference on Very Large Databases, Hangzhou, China.

Chowdhury, M., Patwary, K. H., Imteaj, A., & Chowdhury, S. (2014). Designing a wireless sensor network using smartphone as data source. Paper presented at the The 9th International Forum on Strategic Technologies (IFOST), Cox's Bazar, Bangladesh.

Craglia, M., Goodchild, M. F., Annoni, A., Câmara, G., Gould, M., Kuhn, W., . . . Parsons, E. (2008). Next-Generation Digital Earth. International Journal of Spatial Data Infrastructures Research, 3, 146-167.

Davis Jr, C. A., Pappa, G. L., Oliveira, D. R. R., & Arcanjo, F. L. (2011). Inferring the location of Twitter messages based on user relationships. Transactions in GIS, 15(6), 735-751.

Davis Jr, C. A., Vellozo, H. S., & Pinheiro, M. B. (2013). A framework for Web and mobile volunteered geographic information applications. Paper presented at the XIV Brazilian Symposium on Geoinformatics (GeoInfo 2013), Campos do Jordão (SP).

Davis Jr., C. A., Fonseca, F. T., & Câmara, G. (2009). Beyond SDI: Integrating Science and Communities to Create Environmental Policies for the Sustainability of the Amazon. International Journal of Spatial Data Infrastructures Research, 4, 156-174. doi:10.2902/1725-0463.2009.04.art9

Drew, C. H. (2003). Transparency—Considerations for PPGIS research and development. URISA Journal, 15(1), 73-78.

Elwood, S. (2006). The Devil is still in the Data: Persistent Spatial Data Handling Challenges in Grassroots GIS. In A. Riedl, W. Kainz, & G. A. Elmes (Eds.), Progress in Spatial Data Handling (pp. 1-16). Berlin Heidelberg: Springer.

Flanagin, A. J., & Metzger, M. J. (2008). The credibility of volunteered geographic information. GeoJournal, 72(3), 137-148.

Gomide, J., Veloso, A., Meira Jr., W., Benevenuto, F., Almeida, V. A. F., Ferraz, F., & Teixeira, M. (2011). Dengue surveillance based on a computational model of spatio- temporal locality of Twitter. Paper presented at the Proceedings of the Third International Conference on Web Science.

Goodchild, M. (2009). NeoGeography and the nature of geographic expertise. Journal of location based services, 3(2), 82-96.

Goodchild, M. F. (2007). Citizens as sensors: the world of volunteered geography. GeoJournal, 69(4), 211-221. doi:10.1007/s10708-007-9111-y

Goodchild, M. F. (2007). Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0. International Journal of Spatial Data Infrastructures Research, 2, 24-32.

Goodchild, M. F., & Li, L. (2012). Assuring the quality of volunteered geographic information. Spatial statistics, 1, 110-120.

Haklay, M. (2010). How good is volunteered geographical information? A comparative study of OpenStreetMap and Ordnance Survey datasets. Environment and Planning B: Planning and Design, 37(4), 682-703.

Haklay, M. (2013). Citizen science and volunteered geographic information: Overview and typology of participation Crowdsourcing geographic knowledge (pp. 105-122): Springer.

Haklay, M., Singleton, A., & Parker, C. (2008). Web mapping 2.0: The neogeography of the GeoWeb. Geography Compass, 2(6), 2011-2039.

Hirata, E., Giannotti, M. A., Larocca, A. P. C., & Quintanilha, J. A. (2015). Flooding and inundation collaborative mapping - use of the crowdmap / ushahidi platform in the city of São Paulo – Brazil. Journal of Flood Rsk Management. doi:10.1111/jfr3.12181

Janssen, K. (2012). Open government data and the right to information: Opportunities and obstacles. The Journal of Community Informatics, 8(2).

Johnson, P. A., Sieber, R., Scassa, T., Stephens, M., & Robinson, P. (2017). The Cost (s) of Geospatial Open Data. Transactions in GIS, 21(3), 434-445.

Johnson, P. A., & Sieber, R. E. (2013). Situating the adoption of VGI by government Crowdsourcing geographic knowledge (pp. 65-81): Springer.

Krumm, J. (2007). Exploiting users' map annotations. Paper presented at the Workshop on Volunteered Geographic Information, Santa Barbara, California, USA.

Kuhn, W. (2007). Volunteered Geographic Information and GIScience. Paper presented at the Workshop on Volunteered Geographic Information, Santa Barbara, California, USA.

Lin, W. (2013). When Web 2.0 meets public participation GIS (PPGIS): VGI and spaces of participatory mapping in China Crowdsourcing geographic knowledge (pp. 83-103): Springer.

Maguire, D. J. (2007). GeoWeb 2.0 and Volunteered GI. Paper presented at the Workshop on Volunteered Geographic Information, Santa Barbara, California, USA.

Mateveli, G. V., Machado, N. G., Moro, M. M., & Davis Jr, C. A. (2015). Taxonomia e Desafios de Recomendação para Coleta de Dados Geográficos por Cidadãos. Paper presented at the XXX Simpósio Brasileiro de Bancos de Dados, Petrópolis (RJ).

Mytilinis, I., Giannakopoulos, I., Konstantinou, I., Doka, K., Tsitsigkos, D., Terrovitis, M., . . . Koziris, N. (2015). MoDisSENSE: A Distributed Spatio-Temporal and Textual Processing Platform for Social Networking Services. Paper presented at the ACM SIGMOD, Melbourne, Australia.

Okolloh, O. (2009). Ushahidi, or ‘testimony’: Web 2.0 tools for crowdsourcing crisis information. Participatory learning and action, 59(1), 65-70.

Pinheiro, M. B., & Davis Jr., C. A. (2018). ThemeRise: a theme-oriented framework for Volunteered Geographic Information applications. Open Geospatial Data, Software and Standards, to appear.

Santos, S. R., Davis Jr., C. A., & Smarzaro, R. (2016). Integration of data sources on traffic accidents. Paper presented at the XVII Brazilian Symposium on Geoinformatics (GeoInfo 2016), Campos do Jordão (SP), Brazil.

Santos, S. R., Davis Jr., C. A., & Smarzaro, R. (2017). Analyzing traffic accidents based on the integration of official an crowdsourced data. Journal of Information and Data Management, 8(4 (to appear)).

Sheppard, S. A. (2012). wq: A modular framework for collecting, storing, and utilizing experiential VGI. Paper presented at the Proceedings of the 1st acm sigspatial international workshop on crowdsourced and volunteered geographic information.

Sieber, R. E., & Haklay, M. (2015). The epistemology (s) of volunteered geographic information: a critique. Geo: Geography and Environment, 2(2), 122-136.

Silva, J. C. T., & Davis Jr, C. A. (2008). Um framework para coleta e filtragem de dados geográficos fornecidos voluntariamente. Paper presented at the X Brazilian Symposium on GeoInformatics (GeoInfo 2008), Rio de Janeiro (RJ).

Smarzaro, R., de Lima, T. F. M., & Davis Jr, C. A. (2017). Quality of Urban Life Index From Location-Based Social Networks Data. Volunteered Geographic Information and the Future of Geospatial Data, 185.

Smarzaro, R., Lima, T. F. M., & Davis Jr., C. A. (2017). Could data from lcoation-based social networks be used to support urban planning? Paper presented at the 7th International Workshop on Location and the Web, Perth, Australia.

Souza, W. D., Lisboa Filho, J., Vidal Filho, J. N., & Câmara, J. H. (2013). DM4VGI: A template with dynamic metadata for documenting and validating the quality of Volunteered Geographic Information. Paper presented at the GeoInfo.

Swan, M. (2015). Blockchain: Blueprint for a new economy: " O'Reilly Media, Inc.".

Turner, A. (2006). Introduction to Neogeography: O’Reilly.

Vellozo, H. S., Pinheiro, M. B., & Davis Jr, C. A. (2013). Strepitus: um aplicativo para coleta colaborativa de dados sobre ruído urbano. Paper presented at the IV Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais (WCAMA 2013), Maceió (AL).

Wenceslau, R., Davis Jr., C. A., & Smarzaro, R. (2017). Challenges for the integration of data on economic activities from official and alternative sources. Paper presented at the XVIII Brazilian Symposium on Geoinformatics (GeoInfo 2017), Salvador (BA), Brazil.


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