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The intermediate spatial statistics will employ concepts developed in the introduction to spatial statistics course. The class will focus on properly using spatial statistics to answer research questions with spatial data. This course will use both R and ArcGIS, and will cover krigging and co-krigging analysis, Geographic Weighted Regression, and an introduction to Generalized Additive Models, and Generalized Estimating Equations with spatial-temporal effects. At the end of the course, students will be familiar with assessing spatial auto-correlation, adjusting models for spatial autocorrelation, applying modeling frameworks with the addition of space, and assessing techniques for spatial-temporal analysis. The course assumes working knowledge of both R and ArcGIS, and is intended for those with an intermediate understanding of statistics.  

It is highly recommended to take the Intro to Spatial Statistics prior to attend this workshop 

Workshop taught by StatLab consultants Kate Hacker (YSPH) & Sara Bastomski  (SOCI)

Wednesday, April 12, 2017
4:00pm - 6:30pm
KBT C27 (Computer Classroom) Center for Science and Social Science Information (CSSSI)
Science Hill
Center for Science and Social Science Information (CSSSI), Data, GIS & Geospatial Workshops, Spatial Analysis, Statistics, StatLab
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Profile photo of Miriam Olivares, GISP
Miriam Olivares, GISP