Difference between revisions of "Evelyn Uuemaa"
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| − | Evelyn is a geospatial scientist whose primary research interests lie in large-scale geospatial data management, data quality, and environmental modelling. Her last five-year research focus has been on machine learning based predictive spatial modelling of environmental variables. She | + | [[Category:OSGeo_Advocate]] |
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| + | Evelyn is a Professor in Geoinformatics and the lead of the Landscape Geoinformatics Lab at the University of Tartu. She is a geospatial scientist whose primary research interests lie in large-scale geospatial data management, data quality, and environmental modelling. Her last five-year research focus has been on machine learning based predictive spatial modelling of environmental variables. She utilises open-source solutions in her research and teaches several core courses on geospatial analysis using open-source tools at the University of Tartu. | ||
| + | She has completed the #30DayMapChallenge three times using open-source tools. Some examples can be found [https://kevelyn1.github.io/30DayMapChallenge2020/ here]. | ||
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| + | She is also a board member of the Estonian Geoinformatics Society. She was a member of the organising committee for [https://2024.europe.foss4g.org/ FOSS4G Europe in Tartu, Estonia]. | ||
Latest revision as of 01:28, 2 October 2025
| OSGeo Member | ||
|---|---|---|
| Name: | Evelyn Uuemaa | |
| Job Title: | ||
| Company: | Landscape Geoinformatcis Lab, University of Tartu | |
| Address: | Vanemuise 46 | |
| City: | Tartu | |
| State: | ||
| Country: | Estonia | |
| Local Chapter: | [[|{{{LocalChapter}}}]] | |
| Email: | evelyn.uuemaa@ut.ee | |
| Phone: | ||
| Instant Messaging: | ||
| Website: | https://www.etis.ee/CV/Evelyn_Uuemaa/eng/ | |
| Language(s): | Estonian; English | |
| Personal Description : | ||
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OSGeo Experience and Roles:
Evelyn is a Professor in Geoinformatics and the lead of the Landscape Geoinformatics Lab at the University of Tartu. She is a geospatial scientist whose primary research interests lie in large-scale geospatial data management, data quality, and environmental modelling. Her last five-year research focus has been on machine learning based predictive spatial modelling of environmental variables. She utilises open-source solutions in her research and teaches several core courses on geospatial analysis using open-source tools at the University of Tartu. She has completed the #30DayMapChallenge three times using open-source tools. Some examples can be found here.
She is also a board member of the Estonian Geoinformatics Society. She was a member of the organising committee for FOSS4G Europe in Tartu, Estonia.