Agricultural Data Analytics
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Syllabus
How to succeed
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Module 6: Spatial Data and Mapping
Spatial Data and Mapping
Title page
Module 1: Introduction to Excel
1
Getting Started with Excel
2
Working with Data in Excel
3
Describing Data
Module 2: Introduction to R
4
Getting Started with R
5
Loading Data and Packages in R
6
Data Manipulation
Module 3: Getting and Combining Data
7
Getting Data
8
Cleaning Data
9
Merging Data
Module 4: Graphing
10
Graphing best practices
11
Graphing in Excel
12
Graphing in R
Module 5: Using Artificial Intelligence
Using Artificial Intelligence
Module 6: Spatial Data and Mapping
Spatial Data and Mapping
Module 7: Field-Level Data
Field-Level Data
Module 8: External Spatial Data
External Spatial Data
Module 9: Thinking About Modelling Data
Thinking About Modelling Data
Module 10: Correlation and Simple Linear Models
Correlation and Simple Linear Models
Module 11: Advanced Visualization and Interactive Displays
Advanced Visualization and Interactive Displays
Module 12: Communicating and Delivering Results
Communicating and Delivering Results
Test Bank
Module 1 - Test bank
Module 2 - Test bank
Module 3 - Test bank
Module 4 - Test bank
Labs
Module 1 lab: getting started in Excel
Module 2 lab: getting started in R
Module 3 lab: getting data in, cleaning it and joining it
Module 4 lab: making charts people can read
References
Feedback
Syllabus
How to succeed
Lab: getting started in R
Appendices
Data Appendix
Module 6: Spatial Data and Mapping
Spatial Data and Mapping
Spatial Data and Mapping
This module opens later in the term. Its chapters will appear here when it does.
Using Artificial Intelligence
Field-Level Data