Cooking with Cal-Adapt
1
Introduction
1.1
General Workflow
1.2
Using Climate Data Wisely
1.3
Video Overviews
2
API Requests
2.1
Constructing Cal-Adapt API Requests
2.2
Checking an API Request
2.3
Locations of Interest
2.3.1
Longitude-Latitude Coordinates
2.3.2
Simple Feature Data Frame
2.3.3
Preset Area of Interest
3
Time-Series Plots
3.1
Load Packages
3.2
Time Series Plots
3.2.1
Fetch Some Data
3.2.2
Plot 1. Single Climate Variable & Single RCP
3.3
Multiple Emissions Scenarios
3.4
Overlay a Trend Line
3.5
Historic and Future Data Together
3.6
Overlay a 32-model Ensemble
3.7
Visualize Variability with Histograms
4
Methods for Computing Climate Metrics
4.1
Load packages
4.2
Fetch Some Sample Data
4.3
Time Slicing
4.4
Daily Climate Metrics
4.5
Diurnal Temperature Range
4.6
Daily Threshhold Events
4.7
Counting Consecutive Events
5
AgroClimate Metrics
5.1
Load Packages
5.2
Fetch Some Data
5.3
Growing Degree Days
5.4
Chill Accumulation
5.5
Frost Days
5.6
Last Spring and First Fall Freeze
5.7
Freeze-Free Season
5.8
Tropical Nights and Hot Days
5.9
Extreme Heat Days
5.10
Heatwaves
5.11
Diurnal Temperature Range
5.12
Reference Evapotranspiration
6
Degree Days
7
Joining Other Tables
8
Raster Operations
8.1
Load Packages
8.2
Fetch TIFs
8.3
Import TIFs in R
9
Shiny Apps
10
References
Published with Bookdown
Cooking with Cal-Adapt Climate Data in R
Chapter 7
Joining Other Tables
Most analyses of climate impacts combine
Coming soon…