geog458  by jakobzhao

University course on advanced digital geographies

Created 6 years ago
324 stars

Top 84.3% on SourcePulse

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Project Summary

Summary This repository serves as the syllabus and course material hub for "Advanced Digital Geographies" at UW-Seattle. It equips students with in-demand technical skills for emerging job markets by integrating geospatial data analysis, web visualization, and critical social theory, preparing them for challenges in the digital age.

How It Works The course employs a hands-on, hybrid lecture/lab format. It covers acquiring and analyzing online geospatial data, geocoding, web programming (HTML, CSS, JavaScript), and interactive online mapping using libraries like Mapbox. Students explore advanced topics including participatory GIS, geo-narratives, smart dashboards, and the implications of AI and blockchain in geospatial contexts, emphasizing real-world problem-solving and critical analysis of technology's social impact.

Quick Start & Requirements This is a university course syllabus and repository. Engagement involves accessing weekly lecture notes, readings, and lab assignments hosted on GitHub. Key technologies covered include GitHub, Python, JavaScript, HTML, CSS, QGIS, and Mapbox. Students are expected to set up a personal website and use GitHub for project deliverables. Links to specific course materials and external tools (e.g., Mapbox Studio, Heroku) are provided within the syllabus structure.

Highlighted Details

  • Comprehensive curriculum blending technical geospatial skills with critical social theory.
  • Practical labs cover web data acquisition, geospatial analysis, interactive mapping, participatory GIS, geo-narratives, and emerging AI/blockchain applications.
  • Final projects are group-based, culminating in publicly accessible websites showcasing solutions to real-world problems.
  • Course materials are hosted on GitHub, fostering proficiency in cloud-based development and online project hosting.

Maintenance & Community The course is led by Instructor Bo Zhao and TAs Liz Peng and Alex Kirchmeier. Course materials and discussions are managed via GitHub issues. Development is sponsored by UW's Data Science Minor committee.

Licensing & Compatibility Course materials are stated to be "open source for both students and open source community to access." No specific software license (e.g., MIT, GPL) is explicitly defined, which may pose compatibility questions for external integration.

Limitations & Caveats This repository serves as a university course syllabus, not a standalone software project. Specific software version requirements and detailed setup guides are found within the course's weekly materials. Lab 8 ("LLM assisted spatial analysis and mapping") is noted as "under development." The absence of a formal software license could hinder external adoption or integration.

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