Statistical Techniques in the Data Library: A Tutorial
The Data Library is an online tool that provides access to an abundance of climate-related data via
one easy-to-use interface. Ingrid, the programming language on which the Data Library is built, contains a variety of functions that can be used to manipulate data.
These Ingrid functions are simple to perform because they are executed directly within the Data Library interface.
The wide variety of available functions makes the Data Library beneficial to the novice and advanced user.
While the first Data Library tutorial, Navigating Through the Data Library, is
is primarily focused on introducing the Data Library to new users, this statistics-based tutorial
explores more in-depth topics.
Its purpose is to help facilitate the use of statistical functions within the Data Library,
and even though it concentrates on some advanced techniques, the sections still cover many basic skills.
The following topics are included in the tutorial: measures of central tendency, measures of dispersion,
climatologies, standardized anomalies, correlations, climate indices, frequency distributions,
singular value decompositions, interpolations, and more. An introduction and detailed real-world
example are provided for each statistical function.
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