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English Information

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Authors
# Name
1 Dennis Sávio Silva(dennis.silva@ufpi.edu.br)
2 Maristela Holanda(mholanda@unb.br)

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Reference
# Reference
1 Ahmed, M., Karagiorgou, S., Pfoser, D., e Wenk, C. (2015). A comparison and evaluation of map construction algorithms using vehicle tracking data. GeoInformatica, 19(3):601–632. https://doi.org/10.1007/s10707-014-0222-6.
2 al Jawarneh, I., Bellavista, P., Corradi, A., e Foschini, L. (2020). Big Spatial Data Management for the Internet of Things: A Survey. Journal of Network and Systems Management, 28(4):990–1035. https://doi.org/10.1007/ s10922-020-09549-6
3 Al-Yadumi, S., Xion, T. E., Wei, S. G. W., e Boursier, P. (2021). Review on Integrating Geospatial Big Datasets and Open Research Issues. IEEE Access, 9:10604–10620. https://doi.org/10.1109/ACCESS.2021.3051084
4 Alvarez, M. G., Morales, J., e Kraak, M.-J. (2019). Integration and Exploitation of Sensor Data in Smart Cities through Event-Driven Applications. Sensors (Basel, Switzerland), 19. https://doi.org/10.3390/s19061372
5 Azad, P., Navimipour, N. J., Rahmani, A. M., e Sharifi, A. (2020). The Role of Structured and Unstructured Data Managing Mechanisms in the Internet of Things. Cluster Computing, 23:1185–1198. https://doi.org/10.1007/s10586-019-02986-2
6 Baig, F., Teng, D., Kong, J., e Wang, F. (2021). SPEAR: Dynamic Spatio-Temporal Query Processing over High Velocity Data Streams. In 2021 IEEE 37th International Conference on Data Engineering (ICDE), pages 2279–2284. https://doi.org/10.1109/ICDE51399.2021.00237
7 Breunig, M., Bradley, P. E., Jahn, M., Kuper, P., Mazroob, N., Rösch, N., Al-Doori, M., Stefanakis, E., e Jadidi, M. (2020). Geospatial Data Management Research: Progress and Future Directions. ISPRS International Journal of Geo-Information, 9(2). https://doi.org/10.3390/ijgi9020095
8 Burrough, P. A. e McDonnell, R. A. (2015). Principles of Geographical Information Systems. OUP Oxford.
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10 Chicago Data Portal (2022). Chicago - Bike Routes. https://data. cityofchicago.org/Transportation/Bike-Routes/3w5d-sru8.
11 Dai, J. e Lu, C.-T. (2011). DIME: Disposable Index for Moving Objects. In 2011 IEEE 12th International Conference on Mobile Data Management, volume 1, pages 68–77. https://doi.org/10.1109/MDM.2011.69
12 Eldawy, A. e Mokbel, M. F. (2016). The Era of Big Spatial Data: A Survey. Foundations and Trends® in Databases, 6(3-4):163–273. https://doi.org/10.1561/1900000054.
13 Fernández, P., Suárez, J. P., Trujillo, A., Domínguez, C., e Santana, J. M. (2018). 3D-Monitoring Big Geo Data on a Seaport Infrastructure Based on FIWARE. Journal of Geographical Systems, 20(2):139–157. https://doi.org/10.1007/s10109-018-0269-2
14 Finogeev, A., Finogeev, A., Fionova, L., Lyapin, A., e Lychagin, K. A. (2019). Intelligent Monitoring System for Smart Road Environment. Journal of Industrial Information Integration, 15:15–20. https://doi.org/10.1016/j.jii.2019.05.003
15 Lee, K., Liu, L., Ganti, R. K., Srivatsa, M., Zhang, Q., Zhou, Y., e Wang, Q. (2019). Lightweight Indexing and Querying Services for Big Spatial Data. IEEE Transactions on Services Computing, 12(3):343–355. https://doi.org/10.1109/TSC.2016.2637332
16 Li, P., Lu, H., Zheng, Q., Yang, L., e Pan, G. (2020). LISA: A Learned Index Structure for Spatial Data. In Maier, D., Pottinger, R., Doan, A., Tan, W., Alawini, A., e Ngo, H. Q., editors, Proceedings of the 2020 International Conference on Management of Data, SIGMOD Conference 2020, online conference [Portland, OR, USA], June 14-19, 2020, pages 2119–2133. ACM. https://doi.org/10.1145/3318464.3389703
17 Lwin, K. K., Takeuchi, W., Sekimoto, Y., e Zettsu, K. (2019). City Geospatial Dashboard: IoT and Big Data Analytics for Geospatial Solutions Provider in Disaster Management. In 2019 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), pages 1–4. IEEE. https://doi.org/10. 1109/ICT-DM47966.2019.9032921
18 Pandey, V., Kipf, A., Neumann, T., e Kemper, A. (2018). How Good Are Modern Spatial Analytics Systems? Proc. VLDB Endow., 11(11):1661–1673. https://doi.org/10.14778/3236187.3236213
19 Shah, P. (2019). Developing Big Data Analytics Architecture for Spatial Data. In Bartolini, I. e Li, F., editors, Proceedings of the VLDB 2019 PhD Workshop, co-located with the 45th International Conference on Very Large Databases (VLDB 2019), Los Angeles, California, USA, August 26-30, 2019, volume 2399 of CEUR Workshop Proceedings. CEUR-WS.org. https://doi.org/10.1007/978-3-030-04780-1_17
20 Shrivastava, S. (2020). A Review of Spatial Big Data Platforms, Opportunities, and Challenges. IETE Journal of Education, 61(2):80–89. https://doi.org/10.1080/09747338.2020.1835564
21 Silva, D. S. e Holanda, M. (2022). Applications of Geospatial Big Data in the Internet of Things. Transactions in GIS, 26(1):41–71. https://doi.org/10.1111/tgis.12846
22 Sukmaningsih, D. W., Suparta, W., Trisetyarso, A., Abbas, B. S., e Kang, C. H. (2020). Proposing Smart Disaster Management in Urban Area, pages 3–16. Springer International Publishing, Cham. 10.1007/978-3-030-14132-5_1
23 Wang, E., Zhang, M., Yang, B., Yang, Y., e Wu, J. (2024). Large-scale spatiotemporal fracture data completion in sparse crowdsensing. IEEE Transactions on Mobile Computing, 23(7):7585–7601. https://doi.org/10.1109/TMC.2023.3339089
24 Wang, G., Chen, Y., Wang, S., Zhang, F., e Zhang, D. (2023). ForETaxi: Data-Driven Fleet-Oriented Charging Resource Allocation in Large-Scale Electric Taxi Networks. ACM Transactions on Sensor Networks, 19(3). https://doi.org/10.1145/3570958