Proposal of geovisualization metamodels implemented with adaptative resources
DOI:
https://doi.org/10.33448/rsd-v11i14.35471Keywords:
Contextualization; Geovisualization; Metamodels; Recommendation.Abstract
The large volume of government data made available recently raises questions about the best way to display this data to the user. There is a direct relationship between most government portals called transparency portals, with a geographic region, whether this region is a city, state or country. User characteristics can influence the way they interact with applications, a way to soften this problem would be the use of information contextualization. It brings the user information based on their preferences, facilitating the interpretation and understanding of the data. For contextualization to occur, prior information is needed, which are usually collected through questions before the actual use, so that the application correctly filters the results. Therefore, this research proposed and developed new geovisualization metamodels and demonstrated their use by implementing them with adaptable resources according to the user's profile. The choice of the model indicated for each profile considered the information obtained from the user, through the collection of responses in form format. Finally, the metamodels were written in library format and made available on the npm portal.
References
Abdelwahed, A. M. (2021). Interactive Map of Natural Reserves in Egypt Using Open-Source Web GIS Tools [Thesis]. Menoufia University.
Breitman, K., Salas, P., Casanova, M. A., Saraiva, D., Gama, V., Viterbo, J., Magalhaes, R. P., Franzosi, E., & Chaves, M. (2012). Open government data in Brazil. IEEE Intelligent Systems, 27(3), 45–49. https://doi.org/10.1109/MIS.2012.25
Chang, K. (2019). Geographic Information System. In International Encyclopedia of Geography: People, the Earth, Environment and Technology (pp. 1–10). Wiley. https://doi.org/10.1002/9781118786352.wbieg0152.pub2
Chen, C. (2010). Information visualization. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), 387–403. https://doi.org/10.1002/wics.89
Cordeiro, A. M., Oliveira, G. M. de, Rentería, J. M., & Guimarães, C. A. (2007). Revisão sistemática: uma revisão narrativa. Revista Do Colégio Brasileiro de Cirurgiões, 34(6), 428–431. https://doi.org/10.1590/S0100-69912007000600012
Degbelo, A., & Kray, C. (2018). Intelligent geovisualizations for open government data (vision paper). Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 77–80. https://doi.org/10.1145/3274895.3274940
Edler, D., Keil, J., Tuller, M.-C., Bestgen, A.-K., & Dickmann, F. (2020). Searching for the ‘Right’ Legend: The Impact of Legend Position on Legend Decoding in a Cartographic Memory Task. The Cartographic Journal, 57(1), 6–17. https://doi.org/10.1080/00087041.2018.1533293
Encarnação, L. M. (2017). Information Visualization. IEEE Computer Graphics and Applications, 37(2), 6–7. https://doi.org/10.1109/MCG.2017.25
Ferreira, A. R., Silva, A. C., Barreto Junior, C. de L., Lima, D. A. C. de, & Sousa, L. C. O. (2022). Revisão da literatura: uso do conceito BIM em projetos do setor elétrico nos cenários (Inter)Nacional. Research, Society and Development, 11(6), e37211629144. https://doi.org/10.33448/rsd-v11i6.29144
Fujishiro, I., Ichikawa, Y., Furuhata, R., & Takeshima, Y. (2000). GADGET/IV: a taxonomic approach to semi-automatic design of information visualization applications using modular visualization environment. IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings, 77–83. https://doi.org/10.1109/INFVIS.2000.885093
Gershon, N. D., & Eick, S. G. (1997). Information Visualization Applications in the Real World. IEEE Computer Graphics and Applications, 17(4), 66.
Hässig, D. C. (2020). Development of Adaptive Heatmaps for Interactive Feed Explorations [BA thesis]. University of Zurich.
Howari, F. M., & Ghrefat, H. (2021). Geographic information system: spatial data structures, models, and case studies. In Pollution Assessment for Sustainable Practices in Applied Sciences and Engineering (pp. 165–198). Butterworth-Heinemann. https://doi.org/10.1016/B978-0-12-809582-9.00004-9
Huang, H. (2019). Development and Evaluation of HealthWebMapper: A Web-based User-friendly Geovisualization Tool for Cancer Disparities [Thesis]. San Diego State University.
Hussain, J., Ul Hassan, A., Muhammad Bilal, H. S., Ali, R., Afzal, M., Hussain, S., Bang, J., Banos, O., & Lee, S. (2018). Model-based adaptive user interface based on context and user experience evaluation. Journal on Multimodal User Interfaces, 12(1), 1–16. https://doi.org/10.1007/s12193-018-0258-2
Kessler, F. C., Battersby, S. E., Finn, M. P., & Clarke, K. C. (2017). Map Projections and the Internet. In Choosing a Map Projection. Lecture Notes in Geoinformation and Cartography (pp. 117–148). Springer, Cham. https://doi.org/10.1007/978-3-319-51835-0_4
Kolekar, S. v., Pai, R. M., & M. M., M. P. (2019). Rule based adaptive user interface for adaptive E-learning system. Education and Information Technologies, 24(1), 613–641. https://doi.org/10.1007/s10639-018-9788-1
Mohagheghi, P., & Dehlen, V. (2008). A Metamodel for Specifying Quality Models in Model-Driven Engineering. Proceedings of the Nordic Workshop on Model Driven Engineering.
Nivala, A.-M., & Sarjakoski, T. L. (2007). User Aspects of Adaptive Visualization for Mobile Maps. Cartography and Geographic Information Science, 34(4), 275–284. https://doi.org/10.1559/152304007782382954
Ottley, A. (2020). Adaptive and Personalized Visualization (1st ed., Vol. 7). Springer Cham. https://doi.org/10.1007/978-3-031-02607-2
Possamai, A. J., & de Souza, V. G. (2020). Transparência e Dados Abertos Governamentais: Possibilidades e Desafios a Partir da Lei De Acesso À Informação. Administração Pública e Gestão Social. https://doi.org/10.21118/apgs.v12i2.5872
Stefanakis, E. (2017). Web mercator and raster tile maps: two cornerstones of online map service providers. Geomatica, 71(2), 100–109. https://doi.org/10.5623/cig2017-203
Steichen, B., Carenini, G., & Conati, C. (2013). User-adaptive information visualization: using eye gaze data to infer visualization tasks and user cognitive abilities. Proceedings of the 2013 International Conference on Intelligent User Interfaces - IUI ’13, 317. https://doi.org/10.1145/2449396.2449439
Steichen, B., Wu, M. M. A., Toker, D., Conati, C., & Carenini, G. (2014). Te,Te,Hi,Hi: Eye Gaze Sequence Analysis for Informing User-Adaptive Information Visualizations. In V. Dimitrova, T. Kuflik, D. Chin, F. Ricci, P. Dolog, & GJ. Houben (Eds.), User Modeling, Adaptation, and Personalization. UMAP 2014. Lecture Notes in Computer Science (LNISA) (Vol. 8538, pp. 183–194). Springer, Cham. https://doi.org/10.1007/978-3-319-08786-3_16
Toker, D., Conati, C., Carenini, G., & Haraty, M. (2012). Towards Adaptive Information Visualization: On the Influence of User Characteristics. In J. Masthoff, B. Mobasher, M. C. Desmarais, & R. Nkambou (Eds.), User Modeling, Adaptation, and Personalization. UMAP 2012. Lecture Notes in Computer Science (LNISA) (Vol. 7379, pp. 274–285). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31454-4_23
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Ítalo Moreira Silva; Alexandre Carvalho Silva; Luciano Carlos Ribeiro da Silva; Jesmmer da Silveira Alves; Angel Rodrigues Ferreira; Camilo de Lellis Barreto Junior; Diogo Aparecido Cavalcante de Lima; Ligia Christine Oliveira Sousa
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.