""9.3. SST and Intensity""""9.4. Spatial Autocorrelation""; ""9.5. Spatial Regression Models""; ""9.6. Spatial Interpolation""; ""10. Time Series Models""; ""10.1. Time Series Overlays""; ""10.2. Discrete Time Series""; ""10.3. Change Points""; ""10.4. Continuous Time Series""; ""10.5. Time-Series Network""; ""11. Cluster Models""; ""11.1. Time Clusters""; ""11.2. Spatial Clusters""; ""11.3. Feature Clusters""; ""12. Bayesian Models""; ""12.1. Long-Range Outlook""; ""12.2. Seasonal Model""; ""12.3. Consensus Model""; ""12.4. Space-Time Model""; ""13. Impact Models""; ""13.1. Extreme Losses""
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SUMMARY OR ABSTRACT
Text of Note
Hurricanes are nature's most destructive storms and they are becoming more powerful as the globe warms. Hurricane Climatology explains how to analyze and model hurricane data to better understand and predict present and future hurricane activity. It uses the open-source and now widely used R software for statistical computing to create a tutorial-style manual for independent study, review, and reference. The text is written around the code that when copied will reproduce the graphs, tables, and maps. The approach is different from other books that use R. It focuses on a single topic and explai.