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workshop will teach you how to work with climate data from
Cal-Adapt - California's primary repository for downscaled climate data -
in R. The workshop will draw upon caladaptR, a new R package which streamlines the
process of importing climate data into R using the
Examples will showcase techniques for:
projections from multiple climate models and years
Joining projected climate
data to other tabular data
projections into more intuitive and actionable probabilities
charts and maps.
Data wrangling, analysis, and mapping
examples will use functions from tidyverse packages and sf.
The workshop will be fairly hands-on and some experience with R is expected.
To complete the hands-on exercises, participants will need a recent version of R, RStudio, and
several packages (details to be provided a few days before
the workshop). Alternately, participants may complete the workshop using a
virtual R machine developed for the workshop on RStudio Cloud (free account
required, details to be provided). Participants will also need a Zoom
account (free accounts are fine). Some familiarity with climate data and
Cal-Adapt is helpful but not required.
The 90-minute workshop will include 1 hour
of slides and guided exercises, followed by 30-minutes of additional
self-paced practice where the instructor will be available for help. People
who just want to get an overview of the workflow or run some sample code
are welcome to drop off after an hour.