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English Information

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Authors
# Name
1 Luana Reis(reispereiraluana@gmail.com)
2 Daniel Kaster(dskaster@uel.br)

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Reference
# Reference
1 Amancio, A. F. and de Senna Carneiro, T. G. (2018). An algebra for modeling and simulation of continuous spatial changes. Journal of Information and Data Management, 9(3):275–275.
2 Brisaboa, N. R., Cerdeira-Pena, A., de Bernardo, G., Navarro, G., and Oscar Pedreira´ (2020). Extending general compact querieable representations to GIS applications. Information Sciences, 506:196–216.
3 Brisaboa, N. R., Ladra, S., and Navarro, G. (2014). Compact representation of web graphs with extended functionality. Information Systems, 39:152–174.
4 Cruces, N., Seco, D., and Guiterrez, G. (2019). A compact representation of raster time´ series. In 2019 Data Compression Conference (DCC), pages 103–111.
5 de Oliveira, S. S., Rodrigues, V. J., and Martins, W. S. (2021). Smart: Machine learning approach for efficient filtering and retrieval of spatial and temporal data in big data. Journal of Information and Data Management, 12(3).
6 Gonzalez, R. and Woods, R. (2008). Digital Image Processing. Prentice Hall.
7 Ladra, S., Parama, J. R., and Silva-Coira, F. (2016). Compact and queryable representation of raster datasets. In Proceedings of the 28th International Conference on Scientific and Statistical Database Management, pages 1–12.
8 Paiva, R. U., Oliveira, S. S., Pascoal, L. M., Parente, L. L., and Martins, W. S. (2021). Parallel processing of remote sensing time series applied to land-use and land-cover classification. Journal of Information and Data Management, 12(4).
9 Pinto, A., Seco, D., and Gutierrez, G. (2017). Improved queryable representations of´ rasters. In 2017 Data Compression Conference (DCC), pages 320–329.
10 Rozante, J. R., Gutierrez, E. R., Fernandes, A. d. A., and Vila, D. A. (2020). Performance of precipitation products obtained from combinations of satellite and surface observations. International Journal of Remote Sensing, 41(19):7585–7604.
11 Silva-Coira, F., Parama, J. R., and Ladra, S. (2023). Map algebra on raster datasets represented by compact data structures. Softw. Pract. Exp., 53(6):1362–1390.
12 Silva-Coira, F., Parama, J. R., de Bernardo, G., and Seco, D. (2021). Space-efficient representations of raster time series. Information Sciences, 566:300–325.
13 Tomlin, C. (1994). Map algebra: one perspective. Landscape and Urban Planning, 30(1):3–12. Special Issue Landscape Planning: Expanding the Tool Kit.
14 Tomlin, C. D. et al. (1990). Geographic information systems and cartographic modeling, volume 249. Prentice Hall Englewood Cliffs, NJ.
15 Xia, Y., Mitchell, K., Ek, M., Sheffield, J., Cosgrove, B., Wood, E., Luo, L., Alonge, C., Wei, H., Meng, J., et al. (2012). Continental-scale water and energy flux analysis and validation for the north american land data assimilation system project phase 2 (NLDAS-2): 1. intercomparison and application of model products. Journal of Geophysical Research: Atmospheres, 117(D3).