Data for this repo is staged in /data
.
Details on data sources are below.
Data from WIN is pulled manually for each program and put into data/
.
This data is staged at this box.com link.
Additional data is provided in custom formats by some providers:
- AOML SFER data harvested from this github repo (private)
Older historical data has been collected into this box.com folder.
Additional historical data is provided in unique format from some providers:
- FIU TODO link here
Rscript -e "testthat::test_dir(here::here('tests/testthat'))"
or
testthat::test_dir(here::here('tests/testthat'))
# plans & TODO items
* re-pull WIN data. it has updated
* 6 + AOML. Miami Beach coming
* new one called DEP
* older data also available:
* https://usf.box.com/s/m40d8rsugrp9t4joieh6ce0vo4i1vvkc
* check alignment & merge with newer data
* 3 there now, 1 more coming
* new FIU dataset with custom import method (excel files)
* 2 excel files merged, report should be separate from WIN data (for now)
* many columns, some will be dropped, Dan will give list of columns to keep
* FIU data also comes from WIN so there will be some overlap
## DEP WIN ingest
* new WIN ingest files from Dan. 1 from each program:
https://usf.box.com/s/6j6ipvgh1ncu8qcmgw9o0ygxogcg8371
* TODO: need to update files here; files in box updated
* expect 7 or 8
* 6 + AOML. Miami Beach coming.
* new one called DEP
* palm beach lat/lon is string in deg,min,sec. need to convert to decimal
* AOML.SFER file is additional. (all years, even pre-2015)
* TODO: new FIU dataset with custom import method (excel files)
* 2 excel files merged, report should be separate from WIN data (for now)
* many columns, some will be dropped, Dan will give list of columns to keep
* FIU data also comes from WIN so there will be some overlap
* include links to download each .csv
* provide merged file csv download
* older data also available:
* https://usf.box.com/s/m40d8rsugrp9t4joieh6ce0vo4i1vvkc
* check alignment & merge with newer data
* 3 there now, 1 more coming
## Trend
.csv export a trend for each station.
R code from Dan to calculate trend.