Data Visualization: Geospatial Data Visualization

Github repo with notes, code and data

*The DSI’s Winter 2019 workshop series focuses on Data Visualization, from principles and best practices to implementation with various technologies. Attendance at all sessions is recommended as concepts and materials build throughout the quarter. All workshops will be recorded and links will be posted here shortly after their conclusion. Learners are recommended to watch any missed workshops to best prepare for subsequent sessions.*

This workshop by Dr. Michele Tobias, GIS Data Curator at the UC Davis Library, will build on data visualization concepts introduced earlier in the quarter and will cover visualization techniques appropriate for different types of spatial data and geometries. Hands on practice will be with QGIS, but the concepts discussed will be applicable across software platforms (R, ArcMap, gvSIG, etc.).

At the end of this workshop learners should be able to:

• Identify different types of data (levels of measurement) and the implications for geospatial data visualization
• Identify different geometries and the implications for geospatial data visualization
• Apply best practices in geospatial data visualization to their own work

The last 30 minutes of this workshop are open for individual Q&A.

Prerequisites & Target audience:

This workshop is aimed at researchers (students, postdoctoral scholars, faculty, staff) who are working with spatial data. Bring a laptop with QGIS installed and running. No prior experience with QGIS is nececssary.