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mazamascience
MazamaSpatialUtils:Spatial Data Download and Utility Functions
A suite of conversion functions to create internally standardized spatial polygons data frames. Utility functions use these data sets to return values such as country, state, time zone, watershed, etc. associated with a set of longitude/latitude pairs. (They also make cool maps.)
Maintained by Jonathan Callahan. Last updated 5 months ago.
5.3 match 5 stars 8.09 score 282 scripts 2 dependentsmazamascience
AirMonitor:Air Quality Data Analysis
Utilities for working with hourly air quality monitoring data with a focus on small particulates (PM2.5). A compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Algorithms to calculate NowCast and the associated Air Quality Index (AQI) are defined at the US Environmental Projection Agency AirNow program: <https://document.airnow.gov/technical-assistance-document-for-the-reporting-of-daily-air-quailty.pdf>.
Maintained by Jonathan Callahan. Last updated 6 months ago.
5.3 match 7 stars 6.57 score 178 scripts
mikejohnson51
nwmTools:nwmTools
Tools for working with operational and historic National Water Model Output.
Maintained by Mike Johnson. Last updated 3 months ago.
11.0 match 19 stars 3.06 score 12 scripts
kevinshook
gumboot:Bootstrap Analyses of Sampling Uncertainty in Goodness-of-Fit Statistics
Uses jackknife and bootstrap methods to quantify the sampling uncertainty in goodness-of-fit statistics. Full details are in Clark et al. (2021), "The abuse of popular performance metrics in hydrologic modeling", Water Resources Research, <doi:10.1029/2020WR029001>.
Maintained by Kevin Shook. Last updated 1 years ago.
3.8 match 2.70 score 3 scripts