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geomarker-io
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appc
Daily, high resolution, near real-time, model-based ambient air pollution exposure assessments in R
http://geomarker.io/appc/
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#3
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cole-brokamp
opened
10 months ago
cole-brokamp
commented
10 months ago
[x] add just target for downloading/installing required geomarker data sources (w/o running any geomarker assessment code)
[x] add small section about just and using it to run commands in the repository
[x] #12
[x] #11
double check data pipeline (missingness, summary statistics)
use OOB predictions to create CV error estimations, pred vs obs scatter plots (both in bag and out of bag by space)
include prediction tests for random locations and tests (but with fixed seed)
test for reasonable prediction magnitude, mean and var of preds across time and space
describe differences between test predictions for different model releases
[ ] #10
alter NEI emissions predictors for these pollutants?
[x] translate to a runnable 'thing' (SALT? GHA?)
[x] build user prediction tools, API
add data tests for prediction outputs (reasonable prediction magnitude?)
version the api and prediction tool with {appc}
[ ] release appc package on CRAN
just geomarker assessment functions? or entire model and predictions?
[ ] quantify how model predictions retroactively change over time with updated models
publish this process and the change in models that provide "near real-time" ambient exposure estimates