This package has the following usage Clean and Visualize NOAA Earthquake Data of Countries. Create timeline plot and interactive map with annotations.
knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
library(earthquake) library(readr) library(magrittr) library(dplyr) library(ggplot2)
#import raw data data<-read_delim('signif.txt',delim="\t")
#clean country names eq_location_clean("ECUADOR: RIOBAMBA, QUITO, CUZCO") eq_location_clean("TURKEY") eq_location_clean("China: Jiangsu: Nanjing")
#clean earthquake data data1<-eq_clean_data(data) str(data1)
#load cleaned example data of 3 countries data(eqdata) str(eqdata)
#timeline plot of INDONEISA eqdata %>% filter(COUNTRY=="INDONESIA") %>% ggplot(aes(x=DATE,size=EQ_PRIMARY,fill=TOTAL_DEATHS/10000))+geom_timeline()+mytheme+labs(fill="# deaths",size="Richter scale")
#timeline plot of multiple countries eqdata %>% ggplot(aes(x=DATE,y=COUNTRY,size=EQ_PRIMARY,fill=TOTAL_DEATHS/10000))+geom_timeline()+mytheme+labs(fill="# deaths",size="Richter scale")
#timepline plot with location name of earthquakes eqdata %>% filter(COUNTRY=="USA") %>% ggplot(aes(x=DATE,size=EQ_PRIMARY,fill=TOTAL_DEATHS/10000))+geom_timeline()+mytheme+labs(fill="# deaths",size="Richter scale")+geom_timeline_label(aes(label=LOCATION_NAME,n_max=8))
#interactive map annotated with date of earthquake eqdata %>% filter(COUNTRY=="JAPAN") %>% eq_map(annot_col = "DATE")
#interactive map annotated with date of earthquake eqdata %>% filter(COUNTRY=="INDONESIA") %>% eq_create_label() %>% eq_map(annot_col = "popup_text")
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