Joaquim Patriarca
Geospatial Expert
Coimbra, Coimbra, Portugal
Summary
👤
Senior🎓
Top SchoolJoaquim Patriarca is a geospatial expert and PhD candidate in Geoinformatics with over a decade of hands-on experience building GIS and WebGIS solutions for research, municipal planning, and decision support. He combines advanced remote sensing and machine learning techniques with strong software engineering skills—Python, PostGIS, Django, and modern JS frameworks—to automate land use/land cover mapping and integrate heterogeneous data sources like satellite imagery, sensors, VGI and social feeds. At INESC Coimbra and now at Município de Coimbra he has translated complex spatial models into operational platforms used for territorial management and urban/regional planning. He teaches and mentors students, bringing academic rigor to applied projects and supervising multidisciplinary teams. Known for practical, production-ready tooling (from Geospatial Data Cubes to GeoServer and PyQGIS workflows), he bridges research and deployment to accelerate spatial decision-making.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Geoinformatics, Doctor of Philosophy - PhD Geoinformatics at Departamento de Engenharia Informática - Universidade de CoimbraMestrado Tecnologias de Informação Geográfica, Mestrado Tecnologias de Informação Geográfica at Universidade de Coimbra
Github Skills (18)
geographic9
geography8
geopandas8
geostatistics8
spatial-analysis7
spatial-data7
earth-science7
spatial7
geophysics7
science6
geospatial-analysis6
gis6
spatial-data-analysis6
geospatial6
python6
Programming languages (2)
Github contributions (5)
JoaquimPatriarca/gasp
Aug 2017 - Aug 2018
Contributions:108 PRs, 456 pushes, 111 branches in 1 year
pythonspatial-analysisspatialassistpython-package
jasp382/glass
May 2020 - Jan 2023
The Geoscientific Library for Analysis of Spatial Systems (GLASS) is a free and open source library for geospatial data science. It consistes of a set of Python Methods to support the automatization of spatial data science activities based on Geographic Information Systems Software. These Python Methods could be included in any high-level spatial analysis application.
Contributions:1 release, 8 commits, 86 PRs in 2 years 8 months
information-systemspythonspatialgeoscientific-librarypython-methods
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