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coding, tweaking, instructing
📼
coding, tweaking, instructing
5 followers · 10 following

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Achievement: Public SponsorAchievement: Pull SharkAchievement: Arctic Code Vault Contributor
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waeiski/README.md
  • 👋 Hi, I’m @waeiski a post-doctoral researcher at University of Helsinki
  • 👀 I’m interested in spatial analysis, urban multilingualism, mobility, and cartography.
  • 🖥️ I know Python, QGIS, PostgreSQL/PostGIS, git, and bash.
  • 🌱 I’m currently learning more Python and workflows regarding mobility analytics and machine learning.
  • 🔮 I want to learn R, Rust, DuckDB, web GIS, and full geospatial development stack.
  • 💞️ I’m looking to collaborate on Python stuff and probably translations to Finnish.
  • 📫 How to reach me: waeiski on Mastodon (vis.social) and Twitter

Pinned

  1. DigitalGeographyLab/green-path-server DigitalGeographyLab/green-path-server Public

    An open source routing application for finding healthier paths for walking and cycling

    Python 10 8

  2. DigitalGeographyLab/tweetsearcher DigitalGeographyLab/tweetsearcher Public

    A Python tool to download Tweets using Academic Research credentials and the API v2.

    Python 8 2

  3. DigitalGeographyLab/some-parkbaskets DigitalGeographyLab/some-parkbaskets Public

    Scripts used in the article "Exploring human-nature interactions in national parks using social media photographs and computer vision".

    Python 1

  4. DigitalGeographyLab/maphel-finlang DigitalGeographyLab/maphel-finlang Public

    A repository containing the scripts for spatial mapping of Twitter language use within Finland

    Python

  5. DigitalGeographyLab/maphel-langtime DigitalGeographyLab/maphel-langtime Public

    This repository holds the Python scripts used in the research article (https://doi.org/10.1002/psp.2717) published in Population, Space and Place

    Python

  6. DigitalGeographyLab/maphel-urbanlingdiv DigitalGeographyLab/maphel-urbanlingdiv Public

    This repository contains the scripts used in the article "Mapping urban linguistic diversity with social media and population register data" published in Computers, Environment and Urban Systems

    Python