library(SouthAfricaDrought)
library(raster)
library(sf)
library(dplyr)
SA <- system.file("extdata/SouthAfrica_Boundary.shp",
package = "SouthAfricaDrought") %>% st_read()
fs <- dir("C:/Users/Emily/Documents/Fall_2020/Geospatial_R/Chirps/SouthAfrica_Imagery/SouthAfrica_Imagery", pattern = "SA.*\\.tif", full.names = TRUE)
fs
weekly_s <- stack(lapply(fs, function(x) crop(raster(x), SA)))
names(weekly_s) <- c('week1_2019-10-27_2019-11-02',
'week2_2019-11-17_2019-11-23',
'week3_2019-11-24_2019-11-30',
'week4_2019-12-01_2019-12-07',
'week5_2019-12-08_2019-12-14',
'week6_2019-12-15_2019-12-21',
'week7_2019-12-22_2019-12-28',
'week8_2019-12-29_2019-01-05',
'week9_2019-01-06_2019-01-12',
'week10_2019-01-13_2019-01-19',
'week11_2019-01-20_2019-01-26',
'week12_2019-01-27_2019-02-02',
'week13_2019-02-03_2019-02-09',
'week14_2019-02-10_2019-02-16',
'week15_2019-02-17_2019-02-23',
'week16_2019-02-24_2019-03-02',
'week17_2019-03-10_2019-03-16',
'week18_2019-03-17_2019-02-23',
'week19_2019-03-24_2019-03-30',
'week20_2019-03-31_2019-04-06',
'week21_2019-04-07_2019-04-13',
'week22_2019-04-14_2019-04-20',
'week23_2019-02-21_2019-02-27')
writeRaster(weekly_s, "SA_Chirps_Weekly_Mean_Precip", format = "GTiff")
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