This API toolkit gives you an easy wasy to interact with microclim.org which is a microclimatic data repository. One of the important purpose is to do ecological forecasting. This vignette helps implements a typical usecase to;
First things first, install and load the microclim R library
library(devtools) devtools::install_github("trenchproject/microclimRapi") library(microclimRapi) library(httr) library(jsonlite)
Microclim.org gives a token to a registered user to use its services via APIs. In the account page, you can find your API key and secret.
api_token = getToken('07d4d584c04941a25e291feb8881c685','9ef6bbb24a855fbb765f3890e05592f4','localhost:3000/')
This API pkg uses extensively Reference Class(RC) feature of R, a setp-up from S4 classes. Behaviour is like other OO languages.
ma <- microclimRapi:::MicroclimAPI$new(token = api_token,url_mc='http://localhost:3000/')
mr <- microclimRapi:::MicroclimRequest$new( latS = 39.40012200014591, latN=39.92132255884663, lonW=-106.47674560546875, lonE=-105.92193603515625, variable="ALBEDO", shadelevel=0, hod=0, interval=0, aggregation=0, stdate="19810101", eddate="19810128", file="csv") # place a request ext_req= ma$request(mr) print(toJSON(ext_req))
If Request status is 'EMAILED', you can proceed with downloading the data.
#check the status of your request ma$status(requestId) #status 'EMAILED' means job is complete.
#Pull your netCDF if(ma$status(requestId) == "EMAILED") { # place a request to fetch the files ftch_req= ma$fetch(requestId) # pass the filename ncD <- ma$download(requestId,ftch_req$files[[1]]$Key) #File name has request id as part of it writeBin(ncD, strsplit(ftch_req$files[[1]]$Key, "/")[[1]][2]) }
# Describe the model # For the given date range # Tair # Tsurface # UV # SWDOWN #
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