The purpose of the tidyzoning package is to analyze housing capacity under current zoning laws. It is designed to read three types of datasets.
tidybuilding: A json file with attributes to represent a building
tidyzoning: A geojson file of city zoning codes formatted to follow the Open Zoning Feed Specification
tidyparcel: A geojson of with the city’s parcel data with labeled parcel sides (front, side interior, side exterior, rear) and parcel dimensions (lot_width, lot_depth, lot_area)
The functions of tiyzoning allow the user to find which parcels allow the specified building based on the zoning regulations of each parcel.
Installation
You can install the development version of tidyzoning from GitHub with:
# install.packages("devtools")
devtools::install_github("KamrynMansfield/tidyzoning")Example
library(tidyzoning)
unify_tidybuilding("inst/extdata/bldg_12_fam.json")
#> height width depth roof_type parking height_eave stories total_units type
#> 1 60 65 76 flat 8 60 4 12 4_family
#> gross_fl_area total_bedrooms fl_area_first fl_area_top units_0bed units_1bed
#> 1 13200 23 4400 4400 0 1
#> units_2bed units_3bed units_4bed
#> 1 11 0 0What is special about using README.Rmd instead of just README.md? You can include R chunks like so:
summary(cars)
#> speed dist
#> Min. : 4.0 Min. : 2.00
#> 1st Qu.:12.0 1st Qu.: 26.00
#> Median :15.0 Median : 36.00
#> Mean :15.4 Mean : 42.98
#> 3rd Qu.:19.0 3rd Qu.: 56.00
#> Max. :25.0 Max. :120.00You’ll still need to render README.Rmd regularly, to keep README.md up-to-date. devtools::build_readme() is handy for this.