Sergio Rey
Professor at University of California, Riverside
La Mesa, California, United States
Summary
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RockstarSergio Rey is a professor based in La Mesa, California with 19 years of experience at the intersection of academia and applied data science. He blends scholarly rigor with practical open-source contributions, notably enhancing geopandas' choropleth plotting by integrating PySAL classification schemes and providing example notebooks that make spatial analysis more accessible. At UC Riverside since 2017, he brings deep expertise in geographic data visualization and reproducible research practices. Colleagues benefit from his attention to robust dependency handling and clear error management—traits that reveal a pragmatic engineer beneath the academic title.
20 years of coding experience
Github Skills (10)
data-visualizations10
spatial10
pandas10
geo10
data-visualization10
data-visualisation10
geospatial10
python10
spatial-data10
jupyter-notebook9
Programming languages (14)
Github contributions (5)
geopandas/geopandas
Nov 2013 - Aug 2020
Python tools for geographic data
Role in this project:
Data Scientist
Data ScientistContributions:7 commits, 3 PRs, 13 comments in 6 years 9 months
Contributions summary:Sergio's primary contribution revolves around integrating PySAL map classification schemes for choropleth mapping within the geopandas library. This includes adding support for different classification methods like quantiles and equal interval, enhancing the plotting functionality. Additionally, the user provided example notebooks demonstrating the practical application of these choropleth visualizations. Further work included soft dependency management and error handling related to PySAL integration.
pythongeoparquetgeospatialpandasspatial
sjsrey/spreg
May 2018 - May 2025
Contributions:11 pushes, 7 branches in 7 years 1 month
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