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This workshop builds upon the "Intro to GIS: QGIS" workshop and will include a survey of tools for spatial analysis.

Participants should have some familiarity with GIS and QGIS (possibly from the "Intro to GIS: QGIS" workshop) or be experienced users of ArcMap without any experience in QGIS. Participants do not need to have any Python or R experience.

Software Used: Quantum GIS (QGIS)

Topics:

This workshop includes use of the QGIS software suite to manipulate, analyze, and visualize data. As time allows, specific topics to be covered include:

  • vector-based spatial analysis
  • vector geometry operations (centroids, triangulation)
  • manipulation of attribute tables (join, field calculator)
  • and raster analysis (neighborhood and zonal statistics, terrain and distance functions, interpolation, and map algebra)
  • use of the print composer to produce and export finished maps
  • tour of some interesting QGIS plugins
  • briefly demonstrates QGIS's integration with Python and R.

Before you come

This workshop is designed for attendees who have the following:

  • a Yale NetID to use lab machines
  • basic experience with the Windows OS

Please email gis_reference@mailman.yale.edu with any questions about this workshop.

Date:
Friday, October 27, 2017
Time:
1:30pm - 3:30pm
Location:
KBT C27 (Computer Classroom) Center for Science and Social Science Information (CSSSI)
Campus:
Science Hill
Categories:
Center for Science and Social Science Information (CSSSI), Data, GIS & Geospatial Workshops, StatLab

Event Organizer

Profile photo of Miriam Olivares
Miriam Olivares