Anita Graser
Data Scientist
Summary
🤩
RockstarAnita Graser is a data scientist with 14 years of experience specializing in spatial data science, mobility analysis, and data quality. She blends hands-on geospatial engineering with technical writing, contributing substantial documentation and tooling to prominent open-source projects like QGIS and the MovingPandas trajectory library. Anita has built reusable QGIS styles and implemented core trajectory-clipping functionality with comprehensive tests, showing a focus on robust, reproducible geospatial workflows. Based in Austria, she pairs practical full-stack development skills with a knack for clarifying complex tools for broader audiences, making geospatial analysis more accessible and reliable.
14 years of coding experience
Stackoverflow
1,166reputation
135kreached
19answers
3questions
mysql
top-5%
postgresql
top-5%
Github Skills (32)
openstreetmap10
unit-testing10
styles10
python10
stylesheets10
qgis10
user-manual10
geographical-information-system10
geopandas10
rs10
manage10
gis10
shapely10
documentation10
website-admin10
Programming languages (18)
Github contributions (5)
anitagraser/QGIS-resources
Dec 2011 - Jan 2023
Collection of QGIS resources featured on my blog
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:44 commits, 1 PR, 26 pushes in 11 years 2 months
Contributions summary:Anita primarily contributed to the development of QGIS styles, focusing on various line styles for different road types. They added and modified style files for OpenStreetMap (OSM) data, including styles for Google Maps and Tonerlite. The user also incorporated tunnel styles and introduced building styles, alongside scale rules. Overall, the commits enhance the visual representation of geographic data within the QGIS environment.
my-blogpythonqgis
movingpandas/movingpandas
Dec 2018 - Jan 2023
Movement trajectory classes and functions built on top of GeoPandas
Role in this project:Back-end Developer
Back-end DeveloperContributions:48 releases, 70 reviews, 591 commits in 4 years 1 month
Contributions summary:Anita implemented the first version of a trajectory analysis library, extracting code from an existing QGIS processing tool. Their contributions primarily involved defining and implementing functions for trajectory clipping, a core feature for analyzing movement data within specified geographic boundaries. They wrote tests for the core functionality, specifically addressing situations involving overlapping points and reversed paths, indicating a focus on robust and reliable functionality within the geospatial domain.
movement-datapythondasktrajectoryon-top
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