Stat 6530: Introduction to Spatial Statistics (Spring 2020)

Peter F. Craigmile

Email: pfc <at>
Office: Cockins Hall, Room 427

This course provides an introduction to the statistical analysis of data collected in space. Topics include defining geostatistical, areal and point processes, visualizing spatial data, spatial covariance functions, prediction and kriging, spatial (simultaneous and conditional) autoregressive models, intensity functions, and K functions. Experience is gained in the statistical theory and methods so as to be able to analyze spatial data in practice.

Prerequisites: Stat 6450 (645) or Stat 6950 or GEOG 883.02x, or permission of the instructor.

  • Here is the draft syllabus for the course.
  • This course is hosted on Carmen.

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