toy_temp_dist

The map shows a wave pattern in temperature on the state of Iowa.
Each estimate also has an uncertainty component added, and is represented as a distribution

A 'ggplot2' extension for visualising uncertainty with the goal
of signal suppression. Usually, uncertainty visualisation focuses on
expressing uncertainty as a distribution or probability, whereas
'ggdibbler' differentiates itself by viewing an uncertainty
visualisation as an adjustment to an existing graphic that
incorporates the inherent uncertainty in the estimates.  You provide
the code for an existing plot, but replace any of the variables with a
vector of distributions, and it will convert the visualisation into
it's signal suppression counterpart.

Harriet Mason

ggdibbler

Add Uncertainty to Data Visualisations

Dianne Cook

Sarah Goodwin

Susan VanderPlas

toy_temp_dist function

A tibble with 99 observations and 4 variables<dl>
 <dt>county_name</dt>
<dd>the name of each Iowa county</dd> <dt>temp_dist</dt>
<dd>the temperature of each county as a distribution</dd> <dt>county_geometry</dt>
<dd>the shape file for each county of Iowa</dd>
</dl>

Format

A toy data set that provides data for a map with the temperature of each area represented by a random variable. — toy_temp_dist

A tibble with 99 observations and 4 variables<dl>
 <dt>county_name</dt>
<dd>the name of each Iowa county</dd>

 <dt>temp_dist</dt>
<dd>the temperature of each county as a distribution</dd>

 <dt>county_geometry</dt>
<dd>the shape file for each county of Iowa</dd>


</dl>

toy_temp_dist: A toy data set that provides data for a map with the temperature of each area represented by a random variable.

Description

Arguments

Format