get_climate: Extract climate data of TerraClimate
In botbarja/test_list: InnovaLab Toolkit

Description Usage Arguments Details Value Examples

A function that extract a time series of climate variables.

1	get_climate(to, from, by, band, region, fun = "count")

`to, from`	the starting and final range of date.
`by`	two types of increment of the sequence by month and year.
`band`	name of band.
`region`	region and object sf.
`fun`	function for extract statistic zonal ('count','kurtosis','max','mean','median','min','mode','percentile','std','sum','variance','first').

Name of some bands.

aet: Actual evapotranspiration, derived using a one-dimensional soil water balance model.
def: Climate water deficit, derived using a one-dimensional soil water balance model.
pdsi: Palmer Drought Severity Index.
pet: Reference evapotranspiration (ASCE Penman-Montieth).
pr: Precipitation accumulation.
ro: Runoff, derived using a one-dimensional soil water balance model.
soil: Soil moisture, derived using a one-dimensional soil water balance model.
srad: Downward surface shortwave radiation.
swe: Snow water equivalent, derived using a one-dimensional soil water balance model.
tmmn: Minimum temperature.
tmmx: Maximum temperature.
vap: Vapor pressure
vpd: Vapor pressure deficit.
vs: Wind-speed at 10m.

a sf object with the new variables.

## Not run: 

library(tidyverse)
library(rgee)
library(lis)
library(sf)
ee_Initialize()

# 1. Reading a sf object
region <- import_db("Peru_shp")
region_ee <- pol_as_ee(region , simplify = 1000)
# 2. Extracting climate information
data <- region_ee %>% get_climate(
  to = "2001-02-01", from = "2002-12-31",
  by = "month", band = "tmmx", fun = "max")

## End(Not run)