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AM-26 - Spatial sampling for statistical analysis
Learning Objectives:
List and describe several spatial sampling schemes and evaluate each one for specific applications
Differentiate between model-based and design-based sampling schemes
Design a sampling scheme that will help detect when space-time clusters of events occur
Create spatial samples under a variety of requirements, such as coverage, randomness, and transects
Describe sampling schemes for accurately estimating the mean of a spatial data set
Related Topics:
Kriging Interpolation
Semi-variogram modeling
Principles of semi-variogram construction
Keywords:
spatial statistics, geostatistics
Keywords: