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index.qmd

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The Geospatial Research Lab is the University Library’s geospatial research support program for faculty, students, and staff at American University. We provide expertise in geographic information systems (GIS), spatial analysis, and mapping, helping the AU community apply spatial thinking and geospatial tools across disciplines. Services include guidance on data acquisition, project design, software, and map-based storytelling.
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Whether you’re designing a map for a publication, seeking spatial data for a capstone, or exploring GIS methods for a class project, the Geospatial Research Lab can help. We work with researchers at every stage from idea development through analysis and presentation.
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Whether you’re exploring GIS methods for a class project, seeking spatial data for a capstone, or designing a map for a publication, the Geospatial Research Lab can help. We work with researchers at every stage from idea development through analysis and presentation.
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We also support instructors who want to integrate mapping or spatial data into their teaching. This includes help designing assignments, identifying appropriate tools or datasets, and developing lab activities or course-specific GIS resources.
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- Consultations on spatial methods and data
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- Guidance with GIS tools including ArcGIS Pro, QGIS, R, and open mapping platforms
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- Instructional support for incorporating mapping into the classroom
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- Instructional support for incorporating mapping and spatial storytelling into the classroom
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- Curation of AU’s geospatial and statistical data collections
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workshops.qmd

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## Upcoming Workshops
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No scheduled workshops
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### **Intro to Mapping with R**
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**TBD Spring 2026**\
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Learn how to create clean, publication-ready maps using R. This hands-on workshop introduces the basics of working with spatial data in R, including reading shapefiles/GeoJSON, joining data, styling layers, and exporting your map. No previous experience with R or GIS is required—we’ll start from the ground up with simple, clear examples you can adapt for research or class projects.\
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:::callout-note
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### **Intro to Mapping with Python**
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**TBD Spring 2026**\
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Learn how to create clean, publication-ready maps using R. This hands-on workshop introduces the basics of working with spatial data in Python, including reading shapefiles/GeoJSON, joining data, styling layers, and exporting your map. No previous experience with Python or GIS is required—we’ll start from the ground up with simple, clear examples you can adapt for research or class projects.\
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### **Build Your Research Portfolio on GitHub**
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**TBD Spring 2026**\
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A strong portfolio can help you stand out in applications for internships, research positions, and graduate programs. This hands-on workshop will guide you through creating a GitHub Pages site to display your mapping and data visualization projects. You’ll leave with your own live website and a structure you can keep building on.\
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## Past Workshops

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