On this project, fuzzy spatial inference models were used to perform spatial inference queries with the goal to discover meaningful findinds from fuzzy spatial data. The project used the R package 'fsr' to obtain such inferences. The results were analyzed in R and published on the 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (doi in progress). An adptated code for this analysis was published on Code Ocean. You can check here.

A R package to work with Fuzzy Systems and Spatial Data. This project was developed as a result of my Data Science Specialization Course monography, and it was leaded by my supervisor Dr. Anderson Carniel, and done with my contribution and another course colleague. A conference paper was published using this package at the ACM SIGSPATIAL '21: Proceedings of the 29th International Conference on Advances in Geographic Information Systems.(you can check the paper here).

A Python package to consume the API from the Brazilian National Institute of Meteorology (INMET). This package is focused in get data from the Meteorological Stations spread throughout Brazil (> 600 stations, automatic and manual). The package is published on Pipy (pip install inmetpy), but still missing an official documentation (in progress!)

Official Pipy package page

This dashboard was created to monitoring the real-time data from a meteocean buoy (wave buoy) deployed near by Abrolhos Island, Bahia - Brazil. This buoy is one of many buoys of the project that I belong to in my currently work, at the Brazilian Hydrographic Center. This dash was created using Python and the awesome library Dash by Plotly. You can acess the website at here.