Spatial Statistics in
Practice
Center for Tropical Ecology and
Biodiversity,
&
August, 2007
Symposium Presentation #1: (Saturday, August 4) Spatially Structured Random Effects
Symposium Presentation #2:
(Saturday, August 4) Spatial Filtering
and Space-Time Data
Lecture #1: A general
overview of spatial autocorrelation in georeferenced data
Lab #1 - spatial
autocorrelation games
- constructing Moran scatterplots
- constructing semivariogram plots
Lecture #2: Quantitative
regionalization and cluster detection, with special reference to local
statistics
Lab #2 -
variable transformations
- LISA statistics
- Getis-Ord statistics
- constructing spider diagrams
Lecture #3: Modeling spatial autocorrelation in normal, binomial/logistic, and Poisson variables: autoregressive and spatial filter specifications
Lab #3 -
Jacobian estimation
- estimating autoregressive models
- estimating spatial filter models
- estimating random effects models
- mapping spatial filters
Lecture #4: Bayesian
analysis of mapped data
Lab
#4
- using GeoBUGS
Lecture #5: MAPS
WITH GAPS—small geographic area estimation, kriging,
and kernel smoothing
Lab #5 - handling
missing georeferenced data: (1) estimating missing values
(2) spatial interpolation
BACKGROUND
Spatial autocorrelation: GeoWorld, 2004
Spatial autocorrelation: Encyclopedia of Social Measurement, 2005
Spatial autocorrelation: International Encyclopedia of Human Geography, in press
Jacobian approximation: Papers in Regional Science, 1992
Jacaobian approximation: Linear Algebra & Its Applications, 2004
Spatial model specifications: International Journal of Health Geographics, 2005
Spatial filtering – normal probability model: Journal of Geographical Systems, 2000
Spatial filtering – Poisson probability model: Probability & Statistics Letters, 2002
Spatial filtering – binomial probability model: Environment & Planning A, 2004
Spatial filtering and PCNM: Ecology, 2007
For questions, contact: dagriffith@utdallas.edu