How to Create AAGI Style Graphics and Tables | Getting started | Install the {AAGIThemes} package | Enable this universe | Install | Creating Tables | Fonts in Quarto PDF documents | On {ggplot2} Plots and Graphs | Load the Libraries We'll Need | Using {AAGIThemes} to Create Graphical Outputs | Bar Plots | Using Base R to Create a bar plot | Using {ggplot2} to Create a Bar Plot | Boxplots | Using Base R to Create a Boxplot | Using {ggplot2} to Create a Boxplot | Histograms | Using Base R to Create a Histogram | Using {ggplot2} to Create a Histogram | Line Graphs | Using Base R to Create a Line Graph | Using {ggplot2} to Create a Line Graph | Scatterplots | Using base R to Create a Scatterplot | Using {ggplot2} to Create a Scatterplot | Colours in | AAGI Colours | Using AAGI Colours | Advanced Uses | Using {ggplot2} Faceting | Adding the AAGI Logo to Your Figures | Saving {ggplot2} Figures | Cairo Instructions for macOS | Cairo Instructions for Windows

Load Libraries | Create Locations in WA and NSW | Extract the GRDC AgroEcological Zones | Extract the Soil Order | Get Weather Data for these Locations in 2020 | Join the Weather Data with AE Zone, Soil Order and Site Information | Creating a Pipeline

Map of AUDPC at Multiple Locations

Introduction to | Getting Started | Get Weather Data | Predict Rice Bacterial Blight | Plotting Using | Wet Season Sites | Wet Season Intensity | Comparing Epidemics | Dry Season Intensity | References

Fetching NASA POWER data for multiple seasons | Using a Helper Function to Model Several Seasons | Visualising Differences in AUDPC Between Seasons | Simulating Multiple Seasons and Establishment Dates | Single Site with Multiple Dates | Multiple Sites and Seasons

Introduction | Using get_power() to fetch POWER data | Example fetching daily data for a single point | Example fetching daily data for an area | Example fetching interannual data for an area | Example fetching climatology data | Interrogating the API for available parameters | A Note on API Throttling | References

Download Options | User Agent String | Max Tries | Timeout Connect | Timeout | Package verbosity

Working with AAGIS Regions Spatial Data | Obtaining the AAGIS Regions Spatial Data | Obtaining AAGIS Data by Region | Merging the AAGIS Regions Spatial Data with the AAGIS Regional Data | Working With AGFD Data | Description of the Australian Farm Gridded Data | Working With the Soil Thickness Map | Soil Thickness Metadata

Introduction | Installation and Use | Step 1: Enable the AAGI R-Universe | Step 2: Install the package | Step 3: Load the package | Step 4. Run the create_survey_url() function | Step 5. Include the Customised Survey Link in Your Output Delivery Email | Template Text to include in your output delivery email | Step 6. Save a copy of the email for project records | Further Information | About the Survey | About the Survey Design | Closing the Loop | References

Introduction to | Changes to original CRU CL v. 2.0 data | Using | Creating data frames for use in R | Creating terra SpatRaster objects | Reading files downloaded outside R | CRU CL v. 2.0 reference and abstract

Introduction | Using get_GSOD() | Find Stations in or near Toowoomba, Queensland, Australia | Download a Single Station and Year Using get_GSOD() | Using nearest_stations() to Download Multiple Stations at Once | Plot Maximum and Minimum Temperature Values | Using reformat_GSOD() | Reformat a List of Local Files | Reformat all Local Files Found in Directory | Using get_updates() | Notes | WMO Resolution 40. NOAA Policy | Appendices | Appendix 1: GSODR Final Data Format, Contents and Units | Appendix 2: Map of Current GSOD Station Locations | References

Getting Started With | Function Arguments Used in | Determination of Effective Resistance Genes | Plotting Rps Summary Data | Pathotype Complexities | Plotting Complexities Data | Diversity Indices, Frequency of Unique Pathotypes and Individual Isolate Pathotypes | Table of Diversities | Table of Individual Pathotypes | Advanced Plotting | {hagis} autoplot() Objects | Changing the ggplot2 Theme | Changing the Font | Make a Horizontal Plot | Use Colors in Autoplot Objects | Sorting the x-axis

Load Packages | Convert the Dataset to a Binary Data Matrix | Perform Principle Coordinates Analysis (PCOA) | Add Metadata to your PCOA Data | Statistical Tests for Beta Diversity | Permutation Based Analysis of Variance (PERMANOVA) and Beta-dispersion Analyses | Beta-Dispersion | Permutation Based Analysis of Variance (PERMANOVA) | Analysis of Similarity (ANOSIM)