arrow, covr, crayon, duckdb, ggforce, ggplot2, jsonlite,
log4r, lubridate, RSQLite, RMySQL, RPostgres, readr, rmarkdown,
sparklyr, dittodb, odbc

"Paul Evangelista <paul.evangelista@usma.edu> and Dave Beskow
<david.beskow@usma.edu>"
pointdensity returns a density count and the temporal average for
every point in the original list. The dataframe returned includes four
columns: lat, lon, count, and date_avg. The "lat" column is the original
latitude data; the "lon" column is the original longitude data; the "count"
is the density count of the number of points within a radius of
radius*grid_size (the neighborhood); and the date_avg column includes the
average date of each point in the neighborhood.

Paul Evangelista <paul.evangelista@usma.edu> and Dave Beskow
<david.beskow@usma.edu>
For every spatial point in a list, calculates the density
and temporal tendency (average age) of points within a user defined
neighborhood; also supports point density and temporal tendency
visualization using 'ggmap'.

The function pointdensity returns a density count and the temporal average for
every point in the original list. The dataframe returned includes four
columns: lat, lon, count, and date_avg. The "lat" column is the original
latitude data; the "lon" column is the original longitude data; the "count"
is the density count of the number of points within a radius of
radius*grid_size (the neighborhood); and the date_avg column includes the
average date of each point in the neighborhood.

"Paul Evangelista <paul.evangelista@westpoint.edu> and Dave Beskow
<david.beskow@westpoint.edu>"

person("Cristian E.", "Nuno", email = "cenuno@syr.edu",
role = c("aut", "cre"))
Labels longitudinal and latitudinal coordinates located inside a polygon.
For a singular polygon, the label is a logical vector of TRUE and FALSE values. For multiple polygons, the label is a character vector based on the names of each polygon.
The package is designed to work with both sf and SpatialPolygonsDataFrame objects.

Working Comfortably with Pointers and Shortcuts to R Objects
R has no built-in pointer functionality. The 'pointr' package fills this gap and lets you create pointers to R objects, including subsets of dataframes. This makes your R code more readable and maintainable.