STAT 696, Spring 2011

Final Exam is Thursday May 19, 3:30PM-5:30PM, In-class GMCS-307

Covering:

• Spatial Data and EDA (Lab1, HW1)
  • Looking for spatial trends and patterns
  • Stationarity

• Geostatistical Model: Z(s) = m(s) + e(s) (Lab1, Lab2, Lab4, HW1, HW2, HW3, HW5)
  • Models for the mean or trend: m(s)
  • Fitting models, lm function
  • Median polish
  • Models for the covariance or semivariogram: e(s)
  • Fitting variogram models

• Spatial Prediction (Lab5, Lab6, Midterm, HW6, HW7, HW8)
  • Matrix formulation of Kriging Equations
  • Kriging predictions
  • Kriging variances
  • Network Design
  • Effect of the variogram and measurement error on Kriging
  • Universal Kriging
  • Indicator and Co-kriging
  • No Bayesian Kriging (Lab7)

• Models for Lattice Data (Lab8)
  • Fitting SAR and CAR models (Lab8)
  • SAR and CAR Models general form (Zimmerman p. 106-107)

• Spatial Point Patterns (SPP) (Lab9)
  • Testing for Complete Spatial Randomness (CSR, HPP) (Lab9)
    • Index of Dispersion (X^2) (Zimmerman p. 130-131)
    • Ghat (p. 133-134) (Lab9)

and any other lecture material and computer lab material presented.

You may use:

• 2 sheets (8 1/2 x 11) one-side of notes (or equivalent)
  Notes will be collected with exam (and returned later)

• Calculator