High-Performance Open-Source Archive
<img src='https://github.com/FilgueirasR/cropZoning/blob/master/man/figures/logo_cropZoning.png' height='300' width='auto' align='right'>The goal of cropZoning is to make climate zoning of different crops (air temperature based) for any region of Brazil. For this, cropZoning uses minimum and maximum air temperature from Terraclimate dataset (http://www.climatologylab.org/terraclimate.html) calibrated with the automatic weather stations of National Meteorological Institute of Brazil (INMET).
To install the last version of cropZoning package follow this steps:
devtools::install_github("FilgueirasR/cropZoning")This is a basic example which shows you how to run the cropZoning package:
## basic example code
#devtools::install_github("FilgueirasR/cropZoning")
library(cropZoning)
library(raster)
see_brazil_states()
image_tmin<-loadROI(variable = "tmin", region = "brazil", sub_region = 19) # sub_region = Rio Grande do Norte
image_tmax<-loadROI(variable = "tmax", region = "brazil", sub_region = 19) # sub_region = Rio Grande do Norte
start_date<-c('2000-01-01')
end_date<-c('2017-12-01')
image_tmean<- tmean(tmax_stack = image_tmax , tmin_stack = image_tmin)
monthly_tmean <- cropZoning::tmean_monthly_stack(tmean_stack = image_tmean, start_date = start_date, end_date = end_date)
plot(monthly_tmean)
cz<-ccrop_zoning(monthly_tmean, temp1= 10, temp2= 20, temp3 = 30, temp4 = 40)
plot(cz)
plot_ccrop_zoning(cz)
Need mirroring services?
Contact our team at info@vpspulse.com.
Mirror powered by VPSpulse
Infrastructure sponsored by VPSPulse & Secure Payments by ArionPay.