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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.)

Last updated

8.19 score 5 stars 2 dependents 290 scripts 715 downloads

MazamaCoreUtils - Utility Functions for Production R Code

A suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.

Last updated

8.16 score 4 stars 5 dependents 152 scripts 552 downloads

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>.

Last updated

7.33 score 9 stars 227 scripts 805 downloads

beakr - A Minimalist Web Framework for R

A minimalist web framework for developing application programming interfaces in R that provides a flexible framework for handling common HTTP-requests, errors, logging, and an ability to integrate any R code as server middle-ware.

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6.08 score 95 stars 32 scripts 612 downloads

MazamaLocationUtils - Manage Spatial Metadata for Known Locations

Utility functions for discovering and managing metadata associated with spatially unique "known locations". Applications include all fields of environmental monitoring (e.g. air and water quality) where data are collected at stationary sites.

Last updated

5.38 score 120 scripts 601 downloads

MazamaRollUtils - Efficient Rolling Functions

Fast rolling-window functions for numeric vectors. Designed for efficient processing of environmental time-series data.

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cpprcppcpp

5.30 score 2 stars 2 dependents 11 scripts 635 downloads

MazamaTimeSeries - Core Functionality for Environmental Time Series

Utility functions for working with environmental time series data from known locations. The 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". Ephemerides calculations are based on code originally found in NOAA's "Solar Calculator" <https://gml.noaa.gov/grad/solcalc/>.

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timeseries

5.27 score 1 dependents 62 scripts 688 downloads

MazamaSpatialPlots - Thematic Plots for Mazama Spatial Datasets

A suite of convenience functions for generating US state and county thematic maps using datasets from the MazamaSpatialUtils package.

Last updated

4.36 score 23 scripts 168 downloads