logo RIMA
logo UFRRJ

  1. Repositório de Múltiplos Acervos da UFRRJ
  2. Teses e Dissertações
  3. Programa de Pós-Graduação em Ciência, Tecnologia e Inovação em Agropecuária
  4. Doutorado em Ciência, Tecnologia e Inovação em Agropecuária
Please use this identifier to cite or link to this item: https://rima.ufrrj.br/jspui/handle/20.500.14407/17708
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSouza, Wagner Dias de-
dc.date.accessioned2024-08-09T18:36:26Z-
dc.date.available2024-08-09T18:36:26Z-
dc.date.issued2020-03-30-
dc.identifier.citationSOUZA, Wagner Dias de. Uma infraestrutura de dados espaciais acadêmica integrada a um sistema de informação geográfica voluntária para a UFRRJ. 2020. 150 f. Tese (Doutorado em Ciência, Tecnologia e Inovação em Agropecuária) - Instituto de Tecnologia, Universidade Federal Rural do Rio de Janeiro, Seropédica, 2020.pt_BR
dc.identifier.urihttps://rima.ufrrj.br/jspui/handle/20.500.14407/17708-
dc.description.abstractGovernos, empresas e pesquisadores estão desenvolvendo Infraestruturas de Dados Espaciais (IDE) para melhorar todos os processos de produção, gerenciamento, disseminação e uso de dados geográficos. As Universidades estão começando a seguir este caminho, existem esforços para desenvolvimento de IDEs Acadêmicas, que podem ser expandidas e adaptadas para múlti plas finalidades. A Informação Geográfica Voluntária (VGI) revolucionou o processo de criação de dados geográficos, aumentou o volume de dados digitais e facilitou a descoberta de novas informações, porém ainda existem diversos desafios para definir ou melhorar a qualidade deste tipo de dado. Existem pesquisas que visam a construção de uma IDE com suporte a dados VGI. Neste trabalho foi desenvolvido o escopo computacional da IDE acadêmica IDE-UFRRJ. O principal sistema desenvolvido foi o Geopost, o qual é ambiente VGI integrado ao Geonetwork, Geoserver e a rede social Facebook. A IDE-UFRRJ tem suporte a dados oficiais e voluntários e são documentados com metadados no perfil MGB e/ou com metadados dinâmicos usando o DM4VGI. Os dados voluntários além dos atributos de texto podem ter como geometria pon tos, linhas e/ou polígonos, além de mídias digitais extras como fotos, arquivos em geral e links url. Neste ambiente VGI, também existe suporte para coleta direta de dados voluntários no formato GeoJSON e KML. O Geopost possui um sistema de recomendação baseado no perfil e comportamento do usuário, além de ferramentas para análise de dados. Todos os sistemas estão funcionando online e qualquer pessoa pode contribuir ou acessar os dados públicos. Di versos dados VGI foram coletados, avaliados e disseminados para a comunidade acadêmica e também para cidadãos em geral. Assim, visando uma melhor integração entre a Universidade e o cidadão, além de ajudar na perpetuação e disseminação do conhecimento gerado em uma Universidade. Toda a metodologia utilizada para o escopo computacional da IDE-UFRRJ pode ser reutilizada para construção de outras IDEs acadêmicas.pt_BR
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESpt_BR
dc.languageporpt_BR
dc.publisherUniversidade Federal Rural do Rio de Janeiropt_BR
dc.subjectInfraestrutura de dados espaciaispt_BR
dc.subjectInformação geográfica voluntáriapt_BR
dc.subjectMetadadospt_BR
dc.subjectSpatial data infrastructurept_BR
dc.subjectVolunteered geographic informationpt_BR
dc.subjectMetadatapt_BR
dc.titleUma Infraestrutura de Dados Espaciais Acadêmica integrada a um Sistema de Informação Geográfica Voluntária para a UFRRJpt_BR
dc.title.alternativeAn academic spatial data infrastructure integrated to a volunteered geographic information system for UFRRJen
dc.typeTesept_BR
dc.description.abstractOtherGovernments, companies and researchers are developing Spatial Data Infrastructures (SDI) to improve all processes of production, management, dissemination and use of geographic data. The Universities are beginning to follow this method, there are efforts to develop Academic SDI, which can be expanded and adapted for multiple purposes. Voluntary Geographic Information (VGI) revolutionized the process of creating geographic data, increased the volume of digital data and facilitated the discovery of new information, but there are still several challenges to define or improve the VGI quality. There are researches that aim to build an SDI with support for VGI data. In this work, the computational part of the Academic SDI IDE-UFRRJ was developed. The main system developed was the Geopost, which is a VGI system integrated with the Geonetwork, Geoserver and social network Facebook. The IDE-UFRRJ supports official and voluntary data. All IDE-UFRRJ data are documented with metadata using the MGB profile and/or with dynamic metadata using the DM4VGI. Voluntary data in addition to text attributes can have points, lines and/or polygons as geometry, as well as extra digital media such as photos, files and url links. In this VGI system, there is also support for direct collection of voluntary data in the GeoJSON and KML format. The software Geopost has a recommendation system based on the user’s profile and behavior, as well as tools for data analysis. All systems are working online and any citizen can contribute or access public data. Various VGI data were collected, evaluated and disseminated to various citizens. Thus, aiming at a better integration between the University and the citizen, besides helping in the perpetuation and dissemination of the knowledge generated in a University. The entire methodology used for the computational scope of IDE-UFRRJ can be reused for the construction of other academic IDEs.pt_BR
dc.contributor.advisor1Antunes, Mauro Antonio Homem ,-
dc.contributor.advisor1IDhttps://orcid.org/0000-0003-0189-6227pt_BR
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/3818721407909667pt_BR
dc.contributor.advisor-co1Debiasi, Paula-
dc.contributor.advisor-co1IDhttps://orcid.org/0000-0001-9518-7960pt_BR
dc.contributor.advisor-co1Latteshttp://lattes.cnpq.br/2803273652115535pt_BR
dc.contributor.referee1Debiasi, Paula-
dc.contributor.referee1IDhttps://orcid.org/0000-0001-9518-7960pt_BR
dc.contributor.referee1Latteshttp://lattes.cnpq.br/2803273652115535pt_BR
dc.contributor.referee2Filho, Jugurta Lisboa-
dc.contributor.referee2IDhttps://orcid.org/0000-0002-4050-0451pt_BR
dc.contributor.referee2Latteshttp://lattes.cnpq.br/2692541273950450pt_BR
dc.contributor.referee3Cruz, Sérgio Manuel Serra da-
dc.contributor.referee3IDhttps://orcid.org/0000-0002-0792-8157pt_BR
dc.contributor.referee3Latteshttp://lattes.cnpq.br/7618571401128973pt_BR
dc.contributor.referee4Santos, Afonso de Paula dos-
dc.contributor.referee4Latteshttp://lattes.cnpq.br/9400066060370759pt_BR
dc.contributor.referee5Sluter, Claudia Robbi-
dc.contributor.referee5IDhttps://orcid.org/0000-0002-6765-9526pt_BR
dc.contributor.referee5Latteshttp://lattes.cnpq.br/7467359757638128pt_BR
dc.creator.Latteshttp://lattes.cnpq.br/0292511204374686pt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentInstituto de Tecnologiapt_BR
dc.publisher.initialsUFRRJpt_BR
dc.publisher.programPrograma de Pós-Graduação em Ciência, Tecnologia e Inovação em Agropecuáriapt_BR
dc.relation.referencesAKINYEDE, J.; BOROFFICE, R. Geo-information, space applications and sustainable national development. Nigerian Journal of Surveying and Geoinformatics.”, Lagos, v. 1, 2004. ALBUQUERQUE, J. P. de; HORITA, F. E. A.; DEGROSSI, L. C.; ROCHA, R. dos S.; ANDRADE, S. C. de; RESTREPO-ESTRADA, C.; LEYH, W. Leveraging volunteered geographic information to improve disaster resilience: lessons learned from agora and future research directions. In: Environmental Information Systems: Concepts, Methodologies, Tools, and Applications. [S.l.]: IGI Global, 2019. p. 1636–1662. ANTHONY, A.; SHIH, Y.-K.; JIN, R.; XIANG, Y. Leveraging a graph-powered, real-time recommendation engine to create rapid business value. In: ACM. Proceedings of the 10th ACM Conference on Recommender Systems. [S.l.], 2016. p. 385–386. ANTONIOU, V.; MORLEY, J.; HAKLAY, M. Web 2.0 geotagged photos: Assessing the spatial dimension of the phenomenon. Geomatica, v. 64, n. 1, p. 99–110, 2010. ANTONIOU, V.; SCHLIEDER, C. Participation patterns, vgi and gamification. Proceedings of AGILE 2014. Presented at the AGILE, p. 3–6, 2014. ANTONIOU, V.; SKOPELITI, A. Measures and indicators of vgi quality: An overview. ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, Copernicus GmbH, v. 2, p. 345, 2015. ARSANJANI, J. J.; MOONEY, P.; ZIPF, A.; SCHAUSS, A. Quality assessment of the contributed land use information from openstreetmap versus authoritative datasets. In: OpenStreetMap in GIScience. [S.l.]: Springer, 2015. p. 37–58. ATTARD, M.; HAKLAY, M.; CAPINERI, C. The potential of volunteered geographic information (vgi) in future transport systems. Urban Planning, PRT, v. 1, n. 4, p. 6–19, 2016. BASIRI, A.; HAKLAY, M.; FOODY, G.; MOONEY, P. Crowdsourced geospatial data quality: challenges and future directions. [S.l.]: Taylor & Francis, 2019. BASTIN, L.; SCHADE, S.; SCHILL, C. Data and metadata management for better vgi reusability. Citizen Sensor, v. 249, 2017. BATISTA, C.; ALVES, G.; CAVALCANTE, E.; LOPES, F.; BATISTA, T.; DELICATO, F. C.; PIRES, P. F. A metadata monitoring system for ubiquitous computing. In: Proc. of 6th Int. Conf. on Mobile Ubiquitous Computing, Systems, Services and Technologies. [S.l.: s.n.], 2012. p. 60–66. BEALL, J. How google uses metadata to improve search results. The Serials Librarian, Taylor & Francis, v. 59, n. 1, p. 40–53, 2010. BERNERS-LEE, T.; HENDLER, J.; LASSILA, O. The semantic web. Scientific american, JSTOR, v. 284, n. 5, p. 34–43, 2001. 101 BIZER, C.; HEATH, T.; BERNERS-LEE, T. Linked data: The story so far. In: Semantic services, interoperability and web applications: emerging concepts. [S.l.]: IGI Global, 2011. p. 205–227. BIZER, C.; HEATH, T.; IDEHEN, K.; BERNERS-LEE, T. Linked data on the web (ldow2008). In: ACM. Proceedings of the 17th international conference on World Wide Web. [S.l.], 2008. p. 1265–1266. BLAKEMORE, M. Discourse of data: geographic information, society and globalisation. Digital Earth Conference, 2003. Disponível em: <https://www.isprs.org/proceedings/2003/ digitalearth03.pdf>. BORDOGNA, G.; CARRARA, P.; KLIMENT, T.; FRIGERIO, L.; STERLACCHINI, S. Spatial data infrastructures empowered by interoperable volunteered geographic information. Plurimondi, n. 16, 2017. BORDOGNA, G.; KLIMENT, T.; FRIGERIO, L.; BRIVIO, P.; CREMA, A.; STROPPIANA, D.; BOSCHETTI, M.; STERLACCHINI, S. A spatial data infrastructure integrating multisource heterogeneous geospatial data and time series: a study case in agriculture. ISPRS International Journal of Geo-Information, Multidisciplinary Digital Publishing Institute, v. 5, n. 5, p. 73, 2016. BRASIL. Decreto no 6666, de 27 de novembro de 2008. institui, no âmbito do poder executivo federal, a infra-estrutura nacional de dados espaciais-inde, e dá outras providências. DOU, 2008. BRAVO, J. V. M.; CAMBOIM, S. P.; MENDONÇA, A. L. A. D.; SLUTER, C. R. Compatibilidade dos metadados disponíveis em sistemas vgi com o perfil de metadados empregado na infraestrutura nacional de dados espaciais do brasil (inde-br). Boletim de Ciências Geodésicas, v. 21, n. 3, 2015. BRITO, P.; BARBOSA, I.; FILHO, J.; RAMOS, J.; ANJOS, R.; CAMBOIM, S. FormaÇÃo e perspectivas de construÇÃo de uma rede de ides acadÊmicas no brasil (rede idea). Revista Eletrônica: Tempo - Técnica - Território / Eletronic Magazine: Time - Technique - Territory, v. 9, 08 2018. BRITO, P. L.; SOUZA, F. A.; CAMBOIM, S.; GIANNOTTI, M. A. Primeiros passos para a implementação de uma ide universitária. SIMPÓSIO DE CIÊNCIAS GEODÉSICAS E TECNOLOGIAS DA GEOINFORMAÇÃO, v. 5, p. 77–84, 2014. BROVELLI, M. A.; MINGHINI, M.; MOLINARI, M.; MOONEY, P. Towards an automated comparison of openstreetmap with authoritative road datasets. Transactions in GIS, Wiley Online Library, v. 21, n. 2, p. 191–206, 2017. BROWN, G. A review of sampling effects and response bias in internet participatory mapping (ppgis/pgis/vgi). Transactions in GIS, Wiley Online Library, v. 21, n. 1, p. 39–56, 2017. BROWN, M.; SHARPLES, S.; HARDING, J.; PARKER, C. J.; BEARMAN, N.; MAGUIRE, M.; FORREST, D.; HAKLAY, M.; JACKSON, M. Usability of geographic information: current challenges and future directions. Applied Ergonomics, Elsevier, v. 44, n. 6, p. 855–865, 2013. 102 BUDHATHOKI, N. R.; BRUCE, B. C.; NEDOVIC-BUDIC, Z. Reconceptualizing the role of the user of spatial data infrastructure. GeoJournal, v. 72, n. 3, p. 149–160, Aug 2008. ISSN 1572-9893. Disponível em: <https://doi.org/10.1007/s10708-008-9189-x>. BUTLER, H.; DALY, M.; DOYLE, A.; GILLIES, S.; HAGEN, S.; SCHAUB, T.; WILDE, E. Geojson. Electronic. URL: http://geojson. org, 2014. BUTLER, H.; DALY, M.; DOYLE, A.; GILLIES, S.; HAGEN, S.; SCHAUB, T. et al. The geojson format. RFC 7946; The Internet Engineering Task Force, 2016. BÜTTCHER, S.; CLARKE, C. L.; CORMACK, G. V. Scala, web search engines, and web recommender systems with a focus on search engine. Instructor, 2016. CÂMARA, J. H.; VEGI, L. F.; PEREIRA, R. O.; GEÖCZE, Z. A.; LISBOA-FILHO, J.; SOUZA, W. D. de. Clickonmap: A platform for development of volunteered geographic information systems. In: IEEE. 2017 12th Iberian Conference on Information Systems and Technologies (CISTI). [S.l.], 2017. p. 1–6. CARRERA, F.; FERREIRA, J. The future of spatial data infrastructures: Capacity building for the emergence of municipal sdis. International Journal of Spatial Data Infrastructures Research, v. 2, p. 49–68, 2007. CHA, M.; KWAK, H.; RODRIGUEZ, P.; AHN, Y.-Y.; MOON, S. I tube, you tube, everybody tubes: analyzing the world’s largest user generated content video system. In: ACM. Proceedings of the 7th ACM SIGCOMM conference on Internet measurement. [S.l.], 2007. p. 1–14. CHANDLER, G.; CROMPVOETS, J.; JEPSON, P.; SCHMITT, S. Assessing the importance of nsdi and spatial data transparency for biodiversity conservation and the environment: Making a case for a global nsdi index. In: GSDI 15 World Conference Proceedings. [S.l.: s.n.], 2016. p. 143. CHEN, H.; ZHANG, W.; DENG, C.; NIE, N.; YI, L. Volunteered geographic information for disaster management with application to earthquake disaster databank & sharing platform. In: IOP PUBLISHING. IOP Conference Series: Earth and Environmental Science. [S.l.], 2017. v. 57, n. 1, p. 012015. CHEN, J.; ZIPF, A. Deepvgi: Deep learning with volunteered geographic information. In: INTERNATIONAL WORLD WIDE WEB CONFERENCES STEERING COMMITTEE. Proceedings of the 26th International Conference on World Wide Web Companion. [S.l.], 2017. p. 771–772. CHEN, L.; LI, R.; LIU, Y.; ZHANG, R.; WOODBRIDGE, D. M.-k. Machine learning-based product recommendation using apache spark. In: IEEE. 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). [S.l.], 2017. p. 1–6. CHOMSIRI, T. Https hacking protection. In: IEEE. 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW’07). [S.l.], 2007. v. 1, p. 590–594. 103 COETZEE, S.; STEINIGER, S.; KÖBBEN, B.; IWANIAK, A.; KACZMAREK, I.; RAPANT, P.; COOPER, A.; BEHR, F.-J.; SCHOOF, G.; KATUMBA, S. et al. The academic sdi—towards understanding spatial data infrastructures for research and education. In: SPRINGER. International Cartographic Conference. [S.l.], 2017. p. 99–113. COETZEE, S.; STEINIGER, S.; KÖBBEN, B.; IWANIAK, A.; KACZMAREK, I.; RAPANT, P.; COOPER, A.; BEHR, F.-J.; SCHOOF, G.; KATUMBA, S. et al. Sdi implementations at universities and research institutes. Retrieved January, v. 21, p. 2017, 2017. COLEMAN, D.; GEORGIADOU, Y.; LABONTE, J. et al. Volunteered geographic information: The nature and motivation of produsers. IJSDIR, v. 4, n. 1, p. 332–358, 2009. COLEMAN, D. J.; RAJABIFARD, A.; KOLODZIEJ, K. W. Expanding the sdi environment: comparing current spatial data infrastructure with emerging indoor location-based services. International Journal of Digital Earth, Taylor & Francis, v. 9, n. 6, p. 629–647, 2016. CONTI, L. A.; FILHO, H. F.; TURRA, A.; AMARAL, A. C. Z. Building a local spatial data infrastructure (sdi) to collect, manage and deliver coastal information. Ocean & coastal management, Elsevier, v. 164, p. 136–146, 2018. COOPER, A. K.; COETZEE, S.; KOURIE, D. G. Perceptions of virtual globes, volunteered geographical information and spatial data infrastructures. Geomatica, NRC Research Press, v. 64, n. 1, p. 73–88, 2010. COOPER, A. K.; MOELLERING, H.; HJELMAGER, J.; RAPANT, P.; DELGADO, T.; LAURENT, D.; COETZEE, S.; DANKO, D. M.; DÜREN, U.; IWANIAK, A. et al. A spatial data infrastructure model from the computational viewpoint. International Journal of Geographical Information Science, Taylor & Francis, v. 27, n. 6, p. 1133–1151, 2013. COOPER, A. K.; RAPANT, P.; HJELMAGER, J.; LAURENT, D.; IWANIAK, A.; COETZEE, S.; MOELLERING, H.; DÜREN, U. Extending the formal model of a spatial data infrastructure to include volunteered geographical information. In: 25th International Cartographic Conference. [S.l.: s.n.], 2011. COSTA, C.; FERNANDES, V.; JUNIOR, M. A. Aplicação de crowdsourcing na gestão e no planejamento de transportes: conceitos, potencialidades e parcerias do waze. Revista Brasileira de Geomática, v. 3, n. 2, p. 68–80, 2015. COUNCIL, N. R. et al. Understanding the changing planet: Strategic directions for the geographical sciences. [S.l.]: National Academies Press, 2010. CRAGLIA, M.; ANNONI, A. Inspire: An innovative approach to the development of spatial data infrastructures in europe. Research and theory in advancing spatial data infrastructure concepts, ESRI Press: Redlands, CA, USA, p. 93–105, 2007. DAHLHAUS, P. G.; NICHOLSON, C.; RYAN, B.; MACLEOD, A.; MILNE, R. Liberating soil data for profitable agriculture and catchment health in the corangamite region, australia. New Zealand journal of agricultural research, Taylor & Francis, v. 61, n. 3, p. 333–339, 2018. DEMETRIOU, D.; CAMPAGNA, M.; RACETIN, I.; KONECNY, M. A discussion for integrating inspire with volunteered geographic information (vgi) and the vision for a 104 global spatial-based platform. In: INTERNATIONAL SOCIETY FOR OPTICS AND PHOTONICS. Fifth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2017). [S.l.], 2017. v. 10444, p. 104440E. DEMETRIOU, D.; CAMPAGNA, M.; RACETIN, I.; KONECNY, M. Integrating spatial data infrastructures (sdis) with volunteered geographic information (vgi) creating a global gis platform. Citizen Sensor, Ubiquity Press, 2017. DENG, D.-P.; MAI, G.-S.; CHUANG, T.-R.; LEMMENS, R.; SHAO, K.-T. Social web meets sensor web: From user-generated content to linked crowdsourced observation data. In: LDOW. [S.l.: s.n.], 2014. DORN, H.; TÖRNROS, T.; ZIPF, A. Quality evaluation of vgi using authoritative data—a comparison with land use data in southern germany. ISPRS International Journal of Geo-Information, Multidisciplinary Digital Publishing Institute, v. 4, n. 3, p. 1657–1671, 2015. DRUCKER, D. P.; CUSTODIO, D. d. O.; FIDALGO, E. C. C.; DALTIO, J.; VISOLI, M. C. Preservação e organização da geoinformação em instituições: o caso da construção da infraestrutura de dados espaciais da embrapa. In: IN: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, JOÃO PESSOA . . . . Embrapa Territorial-Artigo em anais de congresso (ALICE). [S.l.], 2015. DU, Y.-j.; YU, C.-c.; LIU, J. A study of gis development based on kml and google earth. In: IEEE. 2009 Fifth International Joint Conference on INC, IMS and IDC. [S.l.], 2009. p. 1581–1585. DUCHATEAU, R.; MACKANESS, W. A. Smartphone-based volunteered geographic information for land registration: the case of the scottish crofting community. GISRUK 2017 Proceedings, p. 91, 2017. DURUMERIC, Z.; KASTEN, J.; BAILEY, M.; HALDERMAN, J. A. Analysis of the https certificate ecosystem. In: Proceedings of the 2013 Conference on Internet Measurement Conference. New York, NY, USA: ACM, 2013. (IMC ’13), p. 291–304. ISBN 978-1-4503-1953-9. Disponível em: <http://doi.acm.org/10.1145/2504730.2504755>. DUTTA, R.; JAYASINGHE, S. Integrating spatial data infrastructure in monitoring climate change impacts: A research oriented approach. Approach (TS-3: SDI Development, 2015. ELWOOD, S. Volunteered geographic information: future research directions motivated by critical, participatory, and feminist gis. GeoJournal, Springer, v. 72, n. 3-4, p. 173–183, 2008. ELWOOD, S.; GOODCHILD, M. F.; SUI, D. Z. Researching volunteered geographic information: Spatial data, geographic research, and new social practice. Annals of the association of American geographers, Taylor & Francis, v. 102, n. 3, p. 571–590, 2012. ERIKSSON, C. I.; ÅKESSON, M. User generated content in news media–a comparison of reader and newspaper views. In: EMMA (European Media Management Education Association) Conference on Digital Transformations and Transactions in Media Industries, Bournemouth University, Bournemouth, United Kingdom, 13-15 June, 2013. [S.l.: s.n.], 2013. 105 FAZELI, H. R.; SAID, M. N.; AMERUDIN, S.; RAHMAN, M. Z. A. A study of volunteered geographic information (vgi) assessment methods for flood hazard mapping: A review. Jurnal Teknologi, v. 75, n. 10, 2015. FENG, Y.; SESTER, M. Extraction of pluvial flood relevant volunteered geographic information (vgi) by deep learning from user generated texts and photos. ISPRS International Journal of Geo-Information, Multidisciplinary Digital Publishing Institute, v. 7, n. 2, p. 39, 2018. FERREIRA, K. R.; QUEIROZ, G. R. de; VINHAS, L.; CÂMARA, G.; MAURANO, L. E.; SOUZA, R. C. M.; SANCHEZ, A. Towards a spatial data infrastructure for big spatiotemporal data sets. In: 17th Brazilian Symposium on Remote Sensing (SBSR), 2015. Proceedings. [S.l.: s.n.], 2015. p. 7588–7594. FLANAGIN, A. J.; METZGER, M. J. The credibility of volunteered geographic information. GeoJournal, Springer, v. 72, n. 3-4, p. 137–148, 2008. FOGLIARONI, P.; D’ANTONIO, F.; CLEMENTINI, E. Data trustworthiness and user reputation as indicators of vgi quality. Geo-spatial Information Science, Taylor & Francis, v. 21, n. 3, p. 213–233, 2018. FOODY, G.; FRITZ, S.; FONTE, C. C.; BASTIN, L.; OLTEANU-RAIMOND, A.-M.; MOONEY, P.; SEE, L.; ANTONIOU, V.; LIU, H.-Y.; MINGHINI, M. et al. Mapping and the citizen sensor. Mapping and the Citizen Sensor, Ubiquity Press, p. 1–12, 2017. FOODY, G.; SEE, L.; FRITZ, S.; MOORTHY, I.; PERGER, C.; SCHILL, C.; BOYD, D. Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data. ISPRS International Journal of Geo-Information, Multidisciplinary Digital Publishing Institute, v. 7, n. 3, p. 80, 2018. FRONZA, G. IDE Acadêmica: construção de uma infraestrutura de dados espaciais colaborativa. Dissertação (Mestrado) — Universidade Federal do Parana - UFPR, 2016. GAN, Q.; ATTENBERG, J.; MARKOWETZ, A.; SUEL, T. Analysis of geographic queries in a search engine log. In: ACM. Proceedings of the first international workshop on Location and the web. [S.l.], 2008. p. 49–56. GARCIA-ALFARO, J.; NAVARRO-ARRIBAS, G.; CUPPENS-BOULAHIA, N.; ROUDIER, Y. Data privacy management and autonomous spontaneous security. In: SPRINGER. Proceedings of 5th International Workshop, Dpm 2010 and 3rd International Workshop, SETOP. [S.l.], 2011. v. 5. GEORGIADOU, Y.; BANA, B.; BECHT, R.; HOPPE, R.; IKINGURA, J.; KRAAK, M.-J.; LANCE, K.; LEMMENS, R.; LUNGO, J. H.; MCCALL, M. et al. Sensors, empowerment, and accountability: a digital earth view from east africa. International journal of digital earth, Taylor & Francis, v. 4, n. 4, p. 285–304, 2011. GEORGIADOU, Y.; BUDHATHOKI, N. R.; NEDOVIC-BUDIC, Z. An exploration of sdi and volunteered geographic information in africa. SPATIAL DATA INFRASTRUCTURES IN CONTEXT, p. 203, 2011. 106 GIULIANI, G.; LACROIX, P.; GUIGOZ, Y.; RONCELLA, R.; BIGAGLI, L.; SANTORO, M.; MAZZETTI, P.; NATIVI, S.; RAY, N.; LEHMANN, A. Bringing geoss services into practice: a capacity building resource on spatial data infrastructures (sdi). Transactions in GIS, Wiley Online Library, v. 21, n. 4, p. 811–824, 2017. GOODCHILD, M. F. Citizens as voluntary sensors: Spatial data infrastructure in the world of web 2.0. IJSDIR, v. 2, p. 24–32, 2007. GOODCHILD, M. F. Putting research into practice. Quality aspects of spatial data mining, CRC Press Boca Raton, FL, p. 345–56, 2009. GOODCHILD, M. F.; GLENNON, J. A. Crowdsourcing geographic information for disaster response: a research frontier. International Journal of Digital Earth, Taylor & Francis, v. 3, n. 3, p. 231–241, 2010. GOODCHILD, M. F.; LI, L. Assuring the quality of volunteered geographic information. Spatial statistics, Elsevier, v. 1, p. 110–120, 2012. GÖRANZON, B.; FLORIN, M. Artifical Intelligence, Culture and Language: On Education and Work. [S.l.]: Springer Science & Business Media, 2012. GRIFFITH, D.; HAY, G. Integrating geobia, machine learning, and volunteered geographic information with map vegetation over rooftops. ISPRS International Journal of Geo-Information, Multidisciplinary Digital Publishing Institute, v. 7, n. 12, p. 462, 2018. GRILL, S.; SCHNEIDER, M. Geonetwork open source as an application for sdi and education. GIS Ostrava, Citeseer, v. 8, 2009. GUAN, W. W.; BURNS, B.; FINKELSTEIN, J. L.; BLOSSOM, J. C. Enabling geographic research across disciplines: Building an institutional infrastructure for geographic analysis at harvard university. Journal of Map & Geography Libraries, Taylor & Francis, v. 7, n. 1, p. 36–60, 2011. GUERRERO, P.; MØLLER, M. S.; OLAFSSON, A. S.; SNIZEK, B. Revealing cultural ecosystem services through instagram images: The potential of social media volunteered geographic information for urban green infrastructure planning and governance. Urban Planning, MISC, v. 1, n. 2, p. 1–17, 2016. HAKLAY, M. How good is volunteered geographical information? a comparative study of openstreetmap and ordnance survey datasets. Environment and planning B: Planning and design, SAGE Publications Sage UK: London, England, v. 37, n. 4, p. 682–703, 2010. HAKLAY, M.; SINGLETON, A.; PARKER, C. Web mapping 2.0: The neogeography of the geoweb. Geography Compass, Wiley Online Library, v. 2, n. 6, p. 2011–2039, 2008. HAKLAY, M.; WEBER, P. Openstreetmap: User-generated street maps. IEEE Pervasive Computing, Ieee, v. 7, n. 4, p. 12–18, 2008. HARVEY, F. To volunteer or to contribute locational information? towards truth in labeling for crowdsourced geographic information. In: Crowdsourcing geographic knowledge. [S.l.]: Springer, 2013. p. 31–42. 107 HAWORTH, B.; BRUCE, E. A review of volunteered geographic information for disaster management. Geography Compass, Wiley Online Library, v. 9, n. 5, p. 237–250, 2015. HEATH, T.; BIZER, C. Linked data: Evolving the web into a global data space. Synthesis lectures on the semantic web: theory and technology, Morgan & Claypool Publishers, v. 1, n. 1, p. 1–136, 2011. HJELMAGER, J.; MOELLERING, H.; COOPER, A.; DELGADO, T.; RAJABIFARD, A.; RAPANT, P.; DANKO, D.; HUET, M.; LAURENT, D.; AALDERS, H. et al. An initial formal model for spatial data infrastructures. International Journal of Geographical Information Science, Taylor & Francis, v. 22, n. 11-12, p. 1295–1309, 2008. HOLLENSTEIN, L.; PURVES, R. Exploring place through user-generated content: Using flickr tags to describe city cores. Journal of Spatial Information Science, v. 2010, n. 1, p. 21–48, 2010. HORITA, F. E.; ALBUQUERQUE, J. P. de; DEGROSSI, L. C.; MENDIONDO, E. M.; UEYAMA, J. Development of a spatial decision support system for flood risk management in brazil that combines volunteered geographic information with wireless sensor networks. Computers & Geosciences, Elsevier, v. 80, p. 84–94, 2015. HORITA, F. E. A.; DEGROSSI, L. C.; ASSIS, L. F. G. de; ZIPF, A.; ALBUQUERQUE, J. P. de. The use of volunteered geographic information (vgi) and crowdsourcing in disaster management: a systematic literature review. In: the Nineteenth Americas Conference on Information Systems. [S.l.: s.n.], 2013. IDRIS, N. H.; JACKSON, M. J.; ABRAHART, R. J. Colour coded traffic light labelling: An approach to assist users in judging data credibility in map mashup applications. Proc. of the 7th International Symposiumon Spatial Data Quality Coimbra Portugal: INESC Coimbra, p. 201–206, 2011. ISA, M. Z. Spatial data infrastructure (sdi) for sustainable development in africa. In: REVIEW, I. I. for P.; STRATEGIES, D. (Ed.). 5th Nigerian Strategic Conference on Economic Development Policies, Economic Performance and Sustainability. [s.n.], 2016. Disponível em: <https://prog.lmu.edu.ng/colleges_CMS/document/books/Adedire2-Agricultural% 20Production%20and%20Food%20Security%20in%20Nigeria.pdf>. JANELLE, D. G.; GOODCHILD, M. F. Territory, geographic information, and the map. In: . The Map and the Territory: Exploring the Foundations of Science, Thought and Reality. Cham: Springer International Publishing, 2018. p. 609–627. ISBN 978-3-319-72478-2. Disponível em: <https://doi.org/10.1007/978-3-319-72478-2_33>. JILANI, M.; BERTOLOTTO, M.; CORCORAN, P.; ALGHANIM, A. Traditional vs. machine-learning techniques for osm quality assessment. In: Geospatial Intelligence: Concepts, Methodologies, Tools, and Applications. [S.l.]: IGI Global, 2019. p. 469–487. JONES, K. Communicating perceived geospatial data quality of 3D objects in virtual globes. Dissertação (Mestrado) — Memorial University of Newfoundland, 2011. JONIETZ, D.; ANTONIO, V.; SEE, L.; ZIPF, A. Highlighting current trends in volunteered geographic information. [S.l.]: Multidisciplinary Digital Publishing Institute, 2017. 108 KITCHIN, R. The data revolution: Big data, open data, data infrastructures and their consequences. [S.l.]: Sage, 2014. KOSWATTE, S.; MCDOUGALL, K.; LIU, X. Vgi and crowdsourced data credibility analysis using spam email detection techniques. International journal of digital earth, Taylor & Francis, v. 11, n. 5, p. 520–532, 2018. KRUMM, J.; DAVIES, N.; NARAYANASWAMI, C. User-generated content. IEEE Pervasive Computing, IEEE, v. 7, n. 4, p. 10–11, 2008. LANGLEY, S. A.; MESSINA, J. P.; MOORE, N. Using meta-quality to assess the utility of volunteered geographic information for science. International journal of health geographics, BioMed Central, v. 16, n. 1, p. 40, 2017. LASSILA, O.; SWICK, R. R. et al. Resource description framework (rdf) model and syntax specification. W3C recommendation, Citeseer, 1998. LEAVITT, N. Recommendation technology: Will it boost e-commerce? Computer, IEEE, v. 39, n. 5, p. 13–16, 2006. LÉVY, P.; BONONNO, R. Collective intelligence: Mankind’s emerging world in cyberspace. [S.l.]: Perseus books, 1997. LEWANDOWSKI, D. Evaluating the retrieval effectiveness of web search engines using a representative query sample. Journal of the Association for Information Science and Technology, Wiley Online Library, v. 66, n. 9, p. 1763–1775, 2015. LI, D.; LU, M. Integrating geometric models, site images and gis based on google earth and keyhole markup language. Automation in Construction, Elsevier, v. 89, p. 317–331, 2018. LONGUEVILLE, B. D.; OSTLÄNDER, N.; KESKITALO, C. Addressing vagueness in volunteered geographic information (vgi)–a case study. International Journal of Spatial Data Infrastructures Research, Citeseer, v. 5, p. 1725–0463, 2010. LU, J.; WU, D.; MAO, M.; WANG, W.; ZHANG, G. Recommender system application developments: a survey. Decision Support Systems, Elsevier, v. 74, p. 12–32, 2015. MACHADO, A. A.; CAMBOIM, S. P. Academic sdi: A proposal for the federal university of paraná (ufpr). Boletim de Ciências Geodésicas, SciELO Brasil, v. 25, n. 2, 2019. MAGUIRE, D. J.; LONGLEY, P. A. The emergence of geoportals and their role in spatial data infrastructures. Computers, environment and urban systems, Elsevier, v. 29, n. 1, p. 3–14, 2005. MANAFI, S.; SARAEI, M.; MOSTOFI, R. Evaluation of integrated management to reduce the crisis with approach to spatial data infrastructure. Journal of Fundamental and Applied Sciences, University of El Oued, v. 10, n. 2S, p. 554–570, 2018. MASSER, I. GIS worlds: creating spatial data infrastructures. [S.l.]: Esri Press Redlands, CA, 2005. v. 338. MASSER, I.; CROMPVOETS, J. Progress on inspire implementation. GeoInformatics, CMedia BV, v. 18, n. 1, p. 22, 2015. 109 MCAFEE, A.; BRYNJOLFSSON, E.; DAVENPORT, T. H.; PATIL, D.; BARTON, D. Big data: the management revolution. Harvard business review, v. 90, n. 10, p. 60–68, 2012. MIDDLETON, S. E.; MIDDLETON, L.; MODAFFERI, S. Real-time crisis mapping of natural disasters using social media. IEEE Intelligent Systems, IEEE, v. 29, n. 2, p. 9–17, 2013. MILLER, E. An introduction to the resource description framework. Bulletin of the American Society for Information Science and Technology, Wiley Online Library, v. 25, n. 1, p. 15–19, 1998. MINGHINI, M.; ANTONIOU, V.; FONTE, C. C.; ESTIMA, J.; OLTEANU-RAIMOND, A.-M.; SEE, L.; LAAKSO, M.; SKOPELITI, A.; MOONEY, P.; ARSANJANI, J. J. et al. The relevance of protocols for vgi collection. In: Mapping and the Citizen Sensor. Ubiquity Press, 2017. p. 13–35. Disponível em: <https://doi.org/10.5334/bbf.b>. MONTANARI, M.; DIAS, V.; LOURENÇO, E.; FILHO, J. L. edpmgb-a metadata editor built as saas for the brazilian geospatial metadata profile. In: GISTAM. [S.l.: s.n.], 2016. p. 24–31. MORERI, K. K.; FAIRBAIRN, D.; JAMES, P. Volunteered geographic information quality assessment using trust and reputation modelling in land administration systems in developing countries. International Journal of Geographical Information Science, Taylor & Francis, v. 32, n. 5, p. 931–959, 2018. MULDER, A.; WIERSMA, G.; LOENEN, B. V. Status of national open spatial data infrastructures: a comparison across continents. International Journal of Spatial Data Infrastructures Research, v. 14, 2019. NADER, R. Infraestrutura de Dados Espaciais (IDE) - USP. 2012. Disponível em: <http://www.cesadweb.fau.usp.br/index.php?option=com_content&view=article&id= 206533&Itemid=1590>. NEBERT, D. Developing Spatial Data Infrastructures: The SDI Cookbook. [s.n.], 2004. Disponível em: <http://gsdiassociation.org/images/publications/cookbooks/SDI_Cookbook_ GSDI_2004_ver2.pdf>. NEDOVIC-BUDIC, Z.; CROMPVOETS, J.; GEORGIADOU, P. Spatial Data Infrastructures SDI in context : north and south. United Kingdom: CRC Press, 2011. ISBN 978-1-43982802- 1. NEIS, P.; ZIELSTRA, D. Recent developments and future trends in volunteered geographic information research: The case of openstreetmap. Future internet, Multidisciplinary Digital Publishing Institute, v. 6, n. 1, p. 76–106, 2014. NIEDERAUER, J. PHP para quem conhece PHP. [S.l.]: Novatec Editora, 2017. NOLAN, D.; LANG, D. T. Keyhole markup language. In: XML and Web Technologies for Data Sciences with R. [S.l.]: Springer, 2014. p. 581–618. NORMAN, P.; PICKERING, C. Corrigendum to “using volunteered geographic information to assess park visitation: Comparing three on-line platforms” [applied geography 89c (2017) 163-72]. Applied Geography, v. 91, p. 168, 02 2018. 110 OLTEANU-RAIMOND, A.-M.; HART, G.; FOODY, G. M.; TOUYA, G.; KELLENBERGER, T.; DEMETRIOU, D. The scale of vgi in map production: A perspective on european national mapping agencies. Transactions in GIS, Wiley Online Library, v. 21, n. 1, p. 74–90, 2017. O’REILLY, T. What is web 2.0: Design patterns and business models for the next generation of software. Communications & strategies, n. 1, p. 17, 2007. OSTERMANN, F. O.; GRANELL, C. Advancing science with vgi: Reproducibility and replicability of recent studies using vgi. Transactions in GIS, Wiley Online Library, v. 21, n. 2, p. 224–237, 2017. OTHMAN, R.; BAKAR, M. A.; KU-MAHAMUD, K. Public-private collaboration in spatial data infrastructure: Overview of exposure, acceptance and sharing platform in malaysia. In: American Institute of Physics Conference Series. [S.l.: s.n.], 2017. v. 1891, n. 2, p. 020113. PALERMO, L. I. Sistema de Metadados do IBGE. [S.l.]: 2o Encontro Nacional de Produtores e Usuários de Informações Sociais . . . , 2006. PARKER, C. J. The fundamentals of human factors design for volunteered geographic information. [S.l.]: Springer Science & Business Media, 2014. POSTPISCHL, L.; DANECEK, P.; MORELLI, A.; PONDRELLI, S. Standardization of seismic tomographic models and earthquake focal mechanisms data sets based on web technologies, visualization with keyhole markup language. Computers & geosciences, Elsevier, v. 37, n. 1, p. 47–56, 2011. POWERS, S. Practical RDF: solving problems with the resource description framework. [S.l.]: "O’Reilly Media, Inc.", 2003. QUINLAN, J. R. C4. 5: programs for machine learning. [S.l.]: Elsevier, 2014. QUINN, S.; BULL, F. 6 understanding threats to crowdsourced geographic data quality through a study of openstreetmap contributor bans. Geospatial Information System Use in Public Organizations, Routledge, 2019. RAINHO, F. da C.; BERNARDINO, J. Web gis: A new system to store spatial data using geojson in mongodb. In: IEEE. 2018 13th Iberian Conference on Information Systems and Technologies (CISTI). [S.l.], 2018. p. 1–6. RAJABIFARD, A.; FEENEY, M.-E.; WILLIAMSON, I. P. The cultural aspects of sharing and dynamic partnerships within an sdi hierarchy. Cartography, Taylor & Francis, v. 31, n. 1, p. 21–32, 2002. Disponível em: <https://doi.org/10.1080/00690805.2002.9714177>. RAJABIFARD, A.; WILLIAMSON, I. P. Spatial data infrastructures: concept, sdi hierarchy and future directions. In: Proceedings, of GEOMATICS’80 Conference. [s.n.], 2001. Application/pdf. Disponível em: <http://hdl.handle.net/11343/33897>. RAMOS, J. A. S.; FERREIRA, C. E. G. Discussing the role of university in spatial data infrastructure construction: issues and challenges for uerj-v-sdi. In: Pre-conference Workshop of the 27th International Cartographic Conference: Spatial Data Infrastructures, Standards, Open Source and Open Data for Geospatial. [S.l.]: International Cartographic Association (ICA), 2015. p. 2017. 111 RHIND, D. National and international geospatial data policies. Geographical information systems: principles, techniques, management and applications, Wiley New York, p. 767–787, 1999. RICHTER, C.; MISCIONE, G.; GEORGIADOU, Y. Conceptualizing people in sdi literature: Implications for sdi research and development. IJSDIR, v. 5, p. 286–325, 2010. ROLLASON, E.; BRACKEN, L.; HARDY, R.; LARGE, A. The importance of volunteered geographic information for the validation of flood inundation models. Journal of hydrology, Elsevier, v. 562, p. 267–280, 2018. RONZHIN, S.; FOLMER, E.; LEMMENS, R.; MELLUM, R.; BRASCH, T. E. von; MARTIN, E.; ROMERO, E. L.; KYTÖ, S.; HIETANEN, E.; LATVALA, P. Next generation of spatial data infrastructure: lessons from linked data implementations across europe. International journal of spatial data infrastructures research, v. 14, p. 83–107, 2019. SANG, N.; AITKENHEAD, M. 8 data mining, machine learning and spatial data infrastructures for scenario modelling. Modelling Nature-based Solutions: Integrating Computational and Participatory Scenario Modelling for Environmental Management and Planning, Cambridge University Press, p. 276, 2020. SCHADE, S.; DÍAZ, L.; OSTERMANN, F.; SPINSANTI, L.; LURASCHI, G.; COX, S.; NUÑEZ, M.; LONGUEVILLE, B. D. Citizen-based sensing of crisis events: sensor web enablement for volunteered geographic information. Applied Geomatics, Springer, v. 5, n. 1, p. 3–18, 2013. SCHADE, S.; TSINARAKI, C. Survey report: data management in citizen science projects. Publication Office of the European Union: Luxembourg, 2016. SCHRADER-PATTON, C.; AGER, A.; BUNZEL, K. Geobrowser deployment in the usda forest service: a case study. In: ACM. Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application. [S.l.], 2010. p. 28. SCHWEERS, S.; KINDER-KURLANDA, K.; MÜLLER, S.; SIEGERS, P. Conceptualizing a spatial data infrastructure for the social sciences: An example from germany. Journal of Map & Geography Libraries, Taylor & Francis, v. 12, n. 1, p. 100–126, 2016. SEE, L.; COMBER, A.; SALK, C.; FRITZ, S.; VELDE, M. V. D.; PERGER, C.; SCHILL, C.; MCCALLUM, I.; KRAXNER, F.; OBERSTEINER, M. Comparing the quality of crowdsourced data contributed by expert and non-experts. PloS one, Public Library of Science, v. 8, n. 7, p. e69958, 2013. SEE, L.; ESTIMA, J.; PODÖR, A.; ARSANJANI, J. J.; BAYAS, J.-C. L.; VATSEVA, R. ˝ Sources of vgi for mapping. In: Mapping and the Citizen Sensor. Ubiquity Press, 2017. p. 13–35. Disponível em: <https://doi.org/10.5334/bbf.b>. SEE, L.; MOONEY, P.; FOODY, G.; BASTIN, L.; COMBER, A.; ESTIMA, J.; FRITZ, S.; KERLE, N.; JIANG, B.; LAAKSO, M. et al. Crowdsourcing, citizen science or volunteered geographic information? the current state of crowdsourced geographic information. ISPRS International Journal of Geo-Information, Multidisciplinary Digital Publishing Institute, v. 5, n. 5, p. 55, 2016. 112 SENARATNE, H.; MOBASHERI, A.; ALI, A. L.; CAPINERI, C.; HAKLAY, M. A review of volunteered geographic information quality assessment methods. International Journal of Geographical Information Science, Taylor & Francis, v. 31, n. 1, p. 139–167, 2017. SEVERINSEN, J.; ROISTE, M. de; REITSMA, F.; HARTATO, E. Vgtrust: measuring trust for volunteered geographic information. International Journal of Geographical Information Science, Taylor & Francis, v. 33, n. 8, p. 1683–1701, 2019. SHADBOLT, N.; BERNERS-LEE, T.; HALL, W. The semantic web revisited. IEEE intelligent systems, IEEE, v. 21, n. 3, p. 96–101, 2006. SHRIVER, S. K.; NAIR, H. S.; HOFSTETTER, R. Social ties and user-generated content: Evidence from an online social network. Management Science, INFORMS, v. 59, n. 6, p. 1425–1443, 2013. SIEGEL, D.; BURNS, B.; STRAWN, T. Hgl: A web-enabled geospatial digital library. Office of the Dean (Library), p. 26, 2004. SILVA, P. D. L. E. IDE-UFV: PROPOSTA DE INFRAESTRUTURA DE DADOS ESPACIAIS ACADÊMICA. Dissertação (Mestrado) — Universidade Federal de Viçosa, 2019. SINGHAL, A.; SINHA, P.; PANT, R. Use of deep learning in modern recommendation system: A summary of recent works. arXiv preprint arXiv:1712.07525, 2017. SKOPELITI, A.; ANTONIOU, V.; BANDROVA, T. Visualisation and communication of vgi quality. In: Mapping and the Citizen Sensor. [S.l.]: Ubiquity Press, 2017. p. 197–222. SOUZA, W. D. D. UM TEMPLATE COM METADADOS DINÂMICOS PARA DOCUMENTAR E VALIDAR INFORMAÇÃO GEOGRÁFICA VOLUNTÁRIA OBTIDA POR MEIO DE SISTEMAS WEB COLABORATIVOS. Dissertação (Mestrado) — Universidade Federal de Viçosa, 2013. SOUZA, W. D. de; FILHO, J. L.; FILHO, J. N. V.; CÂMARA, J. H. Dm4vgi: A template with dynamic metadata for documenting and validating the quality of volunteered geographic information. In: GeoInfo. [S.l.: s.n.], 2013. p. 1–12. SOUZA, W. D. de; LISBOA-FILHO, J.; CÂMARA, J. H. de S.; FILHO, J. N. V.; OLIVEIRA, A. de P. Clickonmap: a framework to develop volunteered geographic information systems with dynamic metadata. In: SPRINGER. International Conference on Computational Science and Its Applications. [S.l.], 2014. p. 532–546. STEINIGER, S.; HUNTER, A. J. Free and open source gis software for building a spatial data infrastructure. In: Geospatial free and open source software in the 21st century. [S.l.]: Springer, 2012. p. 247–261. STERLACCHINI, S.; BORDOGNA, G.; CAPPELLINI, G.; VOLTOLINA, D. Sirene: A spatial data infrastructure to enhance communities’ resilience to disaster-related emergency. International Journal of Disaster Risk Science, Springer, v. 9, n. 1, p. 129–142, 2018. SU, S.; LEI, C.; LI, A.; PI, J.; CAI, Z. Coverage inequality and quality of volunteered geographic features in chinese cities: Analyzing the associated local characteristics using geographically weighted regression. Applied geography, Elsevier, v. 78, p. 78–93, 2017. 113 SUN, Y.; FAN, H.; HELBICH, M.; ZIPF, A. Analyzing human activities through volunteered geographic information: Using flickr to analyze spatial and temporal pattern of tourist accommodation. In: Progress in location-based services. [S.l.]: Springer, 2013. p. 57–69. TONG, L. The comparative study between gml and geojson in coding, decoding and transmission. Beijing Surveying and Mapping, n. 3, p. 8, 2018. TRUONG, Q. T.; TOUYA, G.; RUNZ, C. D. Building social networks in volunteered geographic information communities: What contributor behaviours reveal about crowdsourced data quality. In: SPRINGER. International Conference on Spatial Information Theory. [S.l.], 2017. p. 125–131. TUMBA, A. G.; AHMAD, A. Geographic information system and spatial data infrastructure: A developing societies’ perception. Universal Journal of Geoscience, v. 2, n. 3, p. 85–92, 2014. TURNER, A. Introduction to neogeography. [S.l.]: "O’Reilly Media, Inc.", 2006. VALCIC, L.; BAILEY, J.; DEHN, J. Visualizing scientific data using keyhole markup language (kml). In: AGU Fall Meeting Abstracts. [S.l.: s.n.], 2006. VANCAUWENBERGHE, G.; LOENEN, B. van. Exploring the emergence of open spatial data infrastructures: analysis of recent developments and trends in europe. In: User Centric E-Government. [S.l.]: Springer, 2018. p. 23–45. VANCAUWENBERGHE, G.; LOENEN, B. van. Governing open spatial data infrastructures: The case of the united kingdom. In: Governance Models for Creating Public Value in Open Data Initiatives. [S.l.]: Springer, 2019. p. 33–54. VANCAUWENBERGHE, G.; VALECKAIT ˇ E, K.; LOENEN, B. V.; DONKER, F. W. ˙ Assessing the openness of spatial data infrastructures (sdi): Towards a map of open sdi. International Journal of Spatial Data Infrastructures Research, v. 13, p. 88–100, 2018. VANDECASTEELE, A.; DEVILLERS, R. Improving volunteered geographic information quality using a tag recommender system: the case of openstreetmap. In: OpenStreetMap in GIScience. [S.l.]: Springer, 2015. p. 59–80. WANG, S.; YUAN, H. Spatial data mining: a perspective of big data. International Journal of Data Warehousing and Mining (IJDWM), IGI Global, v. 10, n. 4, p. 50–70, 2014. WHEELER, S.; YEOMANS, P.; WHEELER, D. The good, the bad and the wiki: Evaluating student-generated content for collaborative learning. British journal of educational technology, Wiley Online Library, v. 39, n. 6, p. 987–995, 2008. WILLIAMSON, I. P.; RAJABIFARD, A.; FEENEY, M.-E. F. Developing spatial data infrastructures: from concept to reality. [S.l.]: CRC Press, 2003. WING, D. G.; REDDY, K. T.; PATIL, P. Security policy for https. [S.l.]: Google Patents, 2018. US Patent App. 15/408,616. WU, L.; XUE, L.; LI, C.; LV, X.; CHEN, Z.; GUO, M.; XIE, Z. A geospatial information grid framework for geological survey. PloS one, Public Library of Science, v. 10, n. 12, p. e0145312, 2015. 114 YAMASHITA, J.; SETO, T.; NISHIMURA, Y.; IWASAKI, N. Vgi contributors’ awareness of geographic information quality and its effect on data quality: a case study from japan. International Journal of Cartography, Taylor & Francis, p. 1–11, 2019. YAN, Y.; FENG, C.-C.; CHANG, K. Towards enhancing integrated pest management based on volunteered geographic information. ISPRS International Journal of Geo-Information, Multidisciplinary Digital Publishing Institute, v. 6, n. 7, p. 224, 2017. YANG, C.; HUANG, Q.; LI, Z.; LIU, K.; HU, F. Big data and cloud computing: innovation opportunities and challenges. International Journal of Digital Earth, Taylor & Francis, v. 10, n. 1, p. 13–53, 2017. YILDIRIM, P.; GAL-OR, E.; GEYLANI, T. User-generated content and bias in news media. Management Science, INFORMS, v. 59, n. 12, p. 2655–2666, 2013. ZHANG, G.; ZHU, A.-X.; HUANG, Z.-P.; REN, G.; QIN, C.-Z.; XIAO, W. Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena. Transactions in GIS, Wiley Online Library, v. 22, n. 1, p. 149–164, 2018. ZIKOPOULOS, P.; EATON, C. et al. Understanding big data: Analytics for enterprise class hadoop and streaming data. [S.l.]: McGraw-Hill Osborne Media, 2011. ZOOK, M.; GRAHAM, M.; SHELTON, T.; GORMAN, S. Volunteered geographic information and crowdsourcing disaster relief: a case study of the haitian earthquake. World Medical & Health Policy, Wiley Online Library, v. 2, n. 2, p. 7–33, 2010. ZWIROWICZ-RUTKOWSKA, A.; MICHALIK, A. The use of spatial data infrastructure in environmental management: an example from the spatial planning practice in poland. Environmental management, Springer, v. 58, n. 4, p. 619–635, 2016.pt_BR
dc.subject.cnpqEngenharia Agrícolapt_BR
Appears in Collections:Doutorado em Ciência, Tecnologia e Inovação em Agropecuária

Se for cadastrado no RIMA, poderá receber informações por email.
Se ainda não tem uma conta, cadastre-se aqui!

Files in This Item:
File Description SizeFormat 
2020 - Wagner Dias De Souza.pdf9.21 MBAdobe PDFThumbnail
View/Open
Show simple item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.