Analyze bird richness data using two method of interpolation: inverse distance weighting (IDW) and Kriging.

Spatial investigation of Mexico's Bird Richness using lagged scatterplots, variograms, Moran's I, and a brief intro into anisotropy.

Perform kernel density and Ripley's K for a few spatial points datasets to investigate spatial point patterns.

Make maps using the meuse dataset and interpret variograms.

Practicing using several filtering methods and performing a spectral analysis on the Milankovitch cycles.

Time series autocorrelation homework practicing using the ACF and PACF functions.

Intro to Time Series with Snow Cover Dataset

Intro to Time Series with Sea Ice Extent Dataset

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