geom_timeline: Visualize the times at which earthquakes occur within certain...

In willojs/earthquakesNOAA: NOAA Earthquake Data Cleaning And Visualization

Description

Visualize the times at which earthquakes occur within certain countries

Usage

geom_timeline(mapping = NULL, data = NULL, stat = "identity",
  position = "identity", na.rm = FALSE, show.legend = NA,
  inherit.aes = TRUE, ...)

Arguments

mapping	Set of aesthetic mappings created.
data	The data to be displayed in this layer.
stat	The statistical transformation to use on the data for this layer, as a string.
position	Position adjustment, either as a string, or the result of a call to a position adjustment function.
na.rm	If 'FALSE', the default, missing values are removed with a warning. If 'TRUE', missing values are silently removed.
show.legend	logical. Should this layer be included in the legends?
inherit.aes	If FALSE, overrides the default aesthetics, rather than combining with them.
...	Other arguments passed on to [layer()]. These are often aesthetics, used to set an aesthetic to a fixed value, like 'colour = "red"' or 'size = 3'. They may also be parameters to the paired geom/stat.

Value

The geom geom_timeline used with the ggplot function,is used to display time series events ranging from one time point to another time point

Examples

# The data must be cleaned using the function \code{eq_clean_data}, included in the package.
# Aesthetics can be specified in the \code{ggplot} function or in \code{geom_timeline} geom function
## Not run: 
data <- readr::read_delim(("extdata","earthquake.txt", delim = "\t")
data <- eq_clean_data(data)
data %>%
dplyr::filter(COUNTRY == c("MEXICO","USA") & lubridate::year(date) >= 2010) %>%
ggplot(aes(x=DATE,y=COUNTRY,color=TOTAL_DEATHS,size=EQ_PRIMARY)) +
geom_timeline(alpha=.5) +
theme(legend.position="bottom", legend.box="horizontal", plot.title=element_text(hjust=0.5)) +
ggtitle("Earthquakes Visualization Tool") +
labs(size = "Richter scale value", color = "# deaths")

## End(Not run)

willojs/earthquakesNOAA documentation built on Nov. 5, 2019, 12:21 p.m.