In ksnt/gsedr: Analyze Global Significant Earthquake Database in R

Vignette Info

This vignette shows how to use gsedr library. In this library, you can generate a plot as a time-line and a map with data from The Significant Earthquake Database.

How to install

install.packages("devtools")
devtools::install_github("ksnt/gsedr")

Retrieve and Tidy Data

Use eq_clean_data function.(eq_location_clean function is used in this function)

# Retrieve earthquake data after 2000 a.c. in Mexico 
datapath <- system.file("extdata", "earthquakes.txt", package = "gsedr")
after2000data <- readr::read_delim(datapath, delim = "\t") %>% eq_clean_data()  %>% dplyr::filter(COUNTRY == "MEXICO" & lubridate::year(DATE) >= 2000)

Create Timeline

Use geom_timeline_label function.

# Retrieve earthquake data after 1900 in JAPAN, TURKEY, HAITI, and INDONESIA.
# Create time-line plot

datapath <- system.file("extdata", "earthquakes.txt", package = "gsedr")
data <- readr::read_delim(datapath, delim = "\t") %>% eq_clean_data()
ddd <- data %>% dplyr::filter(COUNTRY %in% c('USA', 'JAPAN','TURKEY','HAITI','INDONESIA')) %>% dplyr::filter(!is.na(EQ_PRIMARY), !is.na(DEATHS)) %>% dplyr::filter(YEAR > 1900)
ddd %>% ggplot(aes(x=DATE,y=COUNTRY,size=as.numeric(EQ_PRIMARY),colour=as.numeric(TOTAL_DEATHS))) + geom_point(alpha=0.6) + geom_timeline_label(aes(label = LOCATION_NAME), n_max = 3) + scale_colour_gradient(low="skyblue",high = "red") + annotate("text", label = "ship", parse=TRUE) + labs(size = "Richter scale value", color = "# deaths") + theme_minimal()

Create Map

Use eq_create_label function and eq_map function.

# Retrieve earthquake data in INDONESIA.
# Create a map with data

datapath <- system.file("extdata", "earthquakes.txt", package = "gsedr")
data <- readr::read_delim(datapath, delim = "\t") %>% eq_clean_data()
dddd <- data %>% dplyr::filter(COUNTRY %in% c('INDONESIA')) %>% dplyr::filter(!is.na(EQ_PRIMARY), !is.na(DEATHS))
dddd %>% dplyr::mutate(popup_text = eq_create_label(.)) %>% eq_map(annot_col = "popup_text")