Title: Fast Searching for Multiple Keywords in Multiple Texts
Authors@R: c(person("Matt", "Chambers", email="matt.chambers42@gmail.com", role=c("aut", "cre")),
Description: Aho-Corasick is an optimal algorithm for finding many
keywords in a text. It can locate all matches in a text in O(N+M) time; i.e.,
the time needed scales linearly with the number of keywords (N) and the size of
the text (M). Compare this to the naive approach which takes O(N*M) time to loop
through each pattern and scan for it in the text. This implementation builds the
trie (the generic name of the data structure) and runs the search in a single
function call. If you want to search multiple texts with the same trie, the
function will take a list or vector of texts and return a list of matches to
each text. By default, all 128 ASCII characters are allowed in both the keywords
and the text. A more efficient trie is possible if the alphabet size can be
reduced. For example, DNA sequences use at most 19 distinct characters and
usually only 4; protein sequences use at most 26 distinct characters and usually
only 20. UTF-8 (Unicode) matching is not currently supported.

Description: 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:
Imports: dplyr, dygraphs, leaflet, lubridate, magrittr, MazamaCoreUtils
(>= 0.4.10), MazamaTimeSeries (>= 0.2.1), readr, rlang (>=
Suggests: knitr, markdown, testthat (>= 2.1.0), rmarkdown, roxygen2
Packaged: 2022-03-30 23:37:26 UTC; jonathancallahan

Title: Process and Display Data from Air Quality Sensors
Imports: countrycode, cowplot, dplyr (>= 1.0.0), dygraphs, geodist,
geosphere, GGally, ggmap, ggplot2, gridExtra, httpcode, httr,
jsonlite, leaflet, lubridate, magrittr, MazamaCoreUtils (>=
0.4.2), MazamaLocationUtils (>= 0.1.6), MazamaSpatialUtils (>=
0.6.3), openair, PWFSLSmoke (>= 1.2.100), readr, RColorBrewer,
rlang, scales, seismicRoll, sp, stringr, tibble, tidyr,
tidyselect, worldmet (>= 0.9.2), xts, zoo
Description: Process and display data from air quality sensors.
Initial focus is on PM2.5 measurements from sensors produced by 'PurpleAir'