removed duplicate regions from WorldBank-Statistics data. this is directly in the WorldBank-Statistics_v2012/data_prep.R code; would be great to generalize it but otherwise it can be copied just before gapfilling in other data_prep.R files
created sum_duplicates.r in ohi_clean_fxns.r: this sums values for duplicate regions: rgn_ids= 13, 116, 209: Puerto Rico/USVI; Guam; China/Hong Kong/Macao. Tested with WGI; finalized data layer.
finalized WGI files with new sum_duplicates.r file
fixed a problem with add_rgn_id.r that I introduced when translating from sqlite to dplyr. resaved WorldBank-Statistics_v2012-cleaned
saved WorldBank data without duplicates running sum_duplicates.r. Had to fix one bug but now it's all set
accessed new 2013 data from WTTC; processing it with data_prep.R. But in order to finalize: do Guadeloupe and Martinique have separate rgn_ids?
finalized FAO-Fishers data and WTTC data; created Global/NCEAS-Livelihoods_v2014a folder and update_layer.r, which inserts the updated FAO and WTTC data into the 2013a liv_jobs.csv file and saves it as cntry_jobs_2014a.csv.
reran update_layer.r using TOTAL contribution to employment (not direct) as written in Nature 2012 SOM
renamed update_layer.r into update_jobs.r and also created update_rev.r that inserts new data into the 2013a files and saves them
updated filename to be rgn_cites_2014a.csv
Merge pull request #16 from jules32/master

finalized data layers