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This workshop builds upon the "Introduction to GIS: ArcGIS" workshop and will introduce a variety of tools for spatial analysis.

This includes use of the ArcGIS software suite to load, manipulate, analyze, and visualize data. We will consider strategies for working with both vector and raster data. As time allows, specific topics to be covered include: coordinate systems and projections, geospatial data management, creating spatially explicit datasets (geocoding and georeferencing), measures of central tendency (spatial means, standard distances, proximity), estimating geographic distributions (interpolation, kernel density estimation), measuring geographic distributions (spatial autocorrelation and clustering/’hot spot analysis’), basic raster analysis (local, focal, and zonal functions), and non-Euclidean raster operations (impedance layers, cost distance, least cost paths, cost allocation).

Participants should have some familiarity with GIS and ArcGIS (possibly from the "Intro to GIS: ArcGIS" workshop).

Thursday, July 6, 2017
10:00am - 12:00pm
Rosenkranz 01 (Computer Classroom)
GIS & Geospatial Workshops, StatLab
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Event Organizer

Profile photo of Miriam Olivares, GISP
Miriam Olivares, GISP