View source: R/io_load_eora26.R
io_load_eora26 | R Documentation |
Function to load and, if not cached locally, download the set of multiregional input output (MRIO) tables of the EORA. Note that this tool simply automates the download process but you need to obtain an account from https://worldmrio.com and agree to their usage and licensing terms to download and use this data.
io_load_eora26(
years,
cache_dir = NULL,
email = NULL,
password = NULL,
version = NULL,
quiet = FALSE
)
years |
which year(s) to load. Must be a single value or vector of values between 1990 and the latest year available with your account. |
cache_dir |
path to cache the Eora26 data. Downloads will overwrite files of the same name in this location. |
email |
the email adress of the account |
password |
the password of the account |
version |
the EORA26 version to load. If NULL the most recent version in the cache will be used if any is available, otherwise, or if "current" the most recent version will be checked from the website and if necessary downloaded |
quiet |
if TRUE will try to avoid printing messages |
Returns a list combining for each requested year, the T, VA and FD components from the requested version of the EORA26 as well as as a list element with the corresponding labels.
Lenzen M, Kanemoto K; Moran D, and Geschke A (2012) Mapping the structure of the world economy. Environmental Science & Technology 46(15) pp 8374–8381.
Lenzen, M., Moran, D., Kanemoto, K., Geschke, A. (2013) Building Eora: A Global Multi-regional Input-Output Database at High Country and Sector Resolution. Economic Systems Research, 25:1, 20-49.
## Not run:
library(iotr)
# set cache_dir for EORA to avoid (very) long download times on every run !!!
cache_dir <- NULL
eora26_raw <- io_load_icio_v2(cache_dir, years = 2016:2017)
eora26 <- io_tidy_eora26(eora26_raw)
## End(Not run)
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