STAT 523 - Quantitative Spatial Analysis
3 credits / Spring 2012
Delivery/Location: Online
Prerequisite
STAT 301 (Introduction to Statistical Methods) or STAT 307/ERHS 307 (Introduction to Biostatistics). Credit allowed for only one course: STAT523, STAA576. Credit not allowed for both STAT 523 and NR 523.
Description
Techniques in spatial analysis: point pattern analysis, spatial autocorrelation, trend surface and spectral analysis.
This course can be applied towards:
Textbooks and Materials
Tuition includes access to lecture recordings which are available by streaming video. Lecture recordings may also be available by download or on DVD. To determine the viewing options, contact the Department of Statistic’s degree program staff at stats_ddp@mail.colostate.edu.
Go to http://www.stat.colostate.edu/DDP/course_descriptions.html to find information about course textbooks.
Instructors
Daniel Cooley
(97) 049-1572
cooleyd@stat.colostate.edu
Dan Cooley joined the statistics faculty in 2007. His research interests focus around developing methodologies for the analysis of extreme values. In particular, he is interested in multivariate and spatial extremes. Dan collaborates regularly with the Geophysical Statistics Project at the National Center for Atmospheric Research in Boulder.
Dan and his family like to bicycle, hike, ski, swim, and telemark ski.
No Sections Available
Next offering? This course is offered every Spring.
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Section 814 (Online via RamCT)
- Date:
- Jan. 17 - May. 4, 2012 (16 wks.)
- Instructors:
- Daniel Cooley
- Grading:
- Traditional
- Tuition:
- $1,857
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