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9780199827633

Hurricane Climatology A Modern Statistical Guide Using R

by ;
  • ISBN13:

    9780199827633

  • ISBN10:

    019982763X

  • Format: Hardcover
  • Copyright: 2013-03-04
  • Publisher: Oxford University Press

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Table of Contents


I Software, Statistics, and Data

1 Hurricanes, Climate, and Statistics
1.1 Hurricanes
1.2 Climate
1.3 Statistics
1.4 R
1.5 Organization

2 R Tutorial
2.1 Introduction
2.2 Data
2.2.1 Small amounts
2.2.2 Functions
2.2.3 Vectors
2.2.4 Structured data
2.2.5 Logic
2.2.6 Imports
2.3 Tables and Plots

3 Classical Statistics
3.1 Descriptive Statistics
3.2 Probability and Distributions
3.3 One-Sample Tests
3.4 Wilcoxon Signed-Rank Test
3.5 Two-Sample Tests
3.6 Statistical Formula
3.7 Compare Variances
3.8 Two-Sample Wilcoxon Test
3.9 Correlation
3.10 Linear Regression
3.11 Multiple Linear Regression

4 Bayesian Statistics
4.1 Learning About the Proportion of Landfalls
4.2 Inference
4.3 Credible Interval
4.4 Predictive Density
4.5 Is Bayes Rule Needed?
4.6 Bayesian Computation

5 Graphs and Maps
5.1 Graphs
5.2 Time series
5.3 Maps
5.4 Coordinate Reference Systems
5.5 Export
5.6 Other Graphic Packages

6 Data Sets
6.1 Best-Tracks
6.2 Annual Aggregation
6.3 Coastal County Winds
6.4 NetCDF Files

II Models and Methods

7 Frequency Models
7.1 Counts
7.2 Environmental Variables
7.3 Bivariate Relationships
7.4 Poisson Regression
7.5 Model Predictions
7.6 Forecast Skill
7.7 Nonlinear Regression Structure
7.8 Zero-Inflated Count Model
7.9 Machine Learning
7.10 Logistic Regression

8 Intensity Models 211
8.1 Lifetime Highest Intensity
8.2 Fastest Hurricane Winds
8.3 Categorical Wind Speeds by County

9 Spatial Models
9.1 Track Hexagons
9.2 SST Data
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
13.2 Future Wind Damage

A Functions, Packages, and Data

A.1 Functions
A.2 Packages
A.3 Data Sets

B Install Package From Source

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