pdxTrees
is a data package composed of information on
inventoried trees in Portland, OR. There are two datasets that can be
accessed with this package:
get_pdxTrees_parks()
pulls in data on up to 25,534
trees from 174 Portland parks.
get_pdxTrees_streets()
pulls in data on up to
218,602 trees located on Portland’s streets. A street tree is loosely
defined as a tree generally in the public right-of-way, usually between
the sidewalk and the street.
The street trees are categorized by one of the 96 Portland neighborhoods and the park trees are categorized by the public parks in which they grow.
These data were collected by the Portland Parks and Recreation’s Urban Forestry Tree Inventory Project. The Tree Inventory Project has gathered data on Portland trees since 2010, collecting this data in the summer months with a team of over 1,300 volunteers and city employees. The streets trees were inventoried from 2010 to 2016, and the park trees were inventoried from 2017 to 2019. More information on the data can be found here.
# Do the following once
# install.packages("devtools")
# Then install the package
::install_github("mcconvil/pdxTrees") devtools
pdxTrees
was updated in July of 2020 to contain two data
loading functions, get_pdxTrees_parks()
and
get_pdxTrees_streets()
, to pull the park and street tree
data, respectively, from the Github repository.
# Load the library
library(pdxTrees)
# To get data on all parks
<- get_pdxTrees_parks()
pdxTrees_parks
# To get data on one park
<- get_pdxTrees_parks(park = "Berkeley Park")
berkeley_park
# To get data on multiple parks
<- get_pdxTrees_parks(park = c("Berkeley Park",
parks "East Delta Park"))
# The streets function works the same way but with neighborhoods!
<- get_pdxTrees_streets()
pdxTrees_streets
# One neighborhood
<- get_pdxTrees_streets(neighborhood = "Concordia")
concordia
# Mutliple neighborhoods!
<- get_pdxTrees_streets(neighborhood = c("Concordia",
neighborhoods "Eastmoreland",
"Sunnyside"))
pdxTrees
pdxTrees
is used in multiple Reed College statistics
courses as a tool to help students develop their data analysis
skills in RStudio. In Introduction to
Probability and Statistics, students wrangle pdxTrees
data
with dplyr
, and create graphs of pdxTrees
with
ggplot2
. In the Data Science
course, the package is used to teach best practices of function
writing, to construct interactive maps with leaflet
, and to
showcase the usefulness of lubridate
, along with many other
R packages.