require(sits.validate)
plantado <- read.csv(baseDir("IBGE/area-plantada.csv"), sep = ";", skip = 4, as.is = TRUE)
years <- 2000:2015
cols <- c("Nivel", "GEOCODIG_M", "Nome",
paste0(rep(c("Total", "Algodao", "Milho", "Soja"), length = 16 * 4), rep(years, each = 4)))
colnames(plantado) <- cols
for(pos in 4:length(cols)){
plantado[,pos] <- as.numeric(plantado[,pos])
}
plantado[is.na(plantado)] <- 0
munic <- sf::read_sf(baseDir("municipios/cerradoMunic.shp"))
munic <- munic %>%
dplyr::left_join(plantado, by = "GEOCODIG_M")
require(tmap)
tm_shape(munic) +
tm_polygons("Algodao2010")
getCommodity <- function(data, commodity) sapply(years, function(year)
sum(as.data.frame(data)[,paste0(commodity, year)]) / 1e6
)
mdata <- munic # plantado #munic
algodao <- getCommodity(mdata, "Algodao")
milho <- getCommodity(mdata, "Milho")
soja <- getCommodity(mdata, "Soja")
df <- data.frame(algodao, milho, soja)
rownames(df) <- years
ibge <- tibble::tibble(
Class = rep(c("Algodao IBGE", "Milho IBGE", "Soja IBGE"), each = length(years)),
Year = rep(years, 3),
Total = c(algodao, milho, soja)
)
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