In EdBuild/edbuildmapr: Download School District Geospatial Data, Perform Spatial Analysis, and Create Formatted Exportable Maps

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edbuildmapr

The goal of edbuildmapr is to simplify the use of school district shapefiles. The package import US Census Bureau, Education Demographic and Geographic Estimates Program, Composite School District Boundaries Files for 2013-2019 with the option to attach EdBuild's master dataset of school district finance, student demographics, and community economic indicators for every school district in the United States. The master dataset is built from the US Census, Annual Survey of School System Finances (F33) and joins data from the National Center for Education Statistics, Common Core of Data; the US Census, Small Area Income and Poverty Estimates; and the US Census, Education Demographic and Geographic Estimates. Additional functions in the package create a dataset of all school district neighbors as either a dataframe or a shapefile and maps of selected districts at the state or neighbor level symbolized by a selected variable in EdBuild's master dataset. For full details about EdBuild's data processing please see EdBuild (2020) Methodology.

Installation

You can install the released version of edbuildmapr from CRAN with:

install.packages("edbuildmapr")

Example

To import school district spatial data for all districts with EdBuild's master data:

library(edbuildmapr)
## import school district shapefile for the year 2018 with EdBuild's master dataset attached. 
sd_shp_18 <- sd_shapepull("2018", with_data = TRUE)

str(sd_shp_18)

Authors

• Megan Brodzik ([e-mail]), maintainer
• Cecilia Depman ([e-mail]), author
• Sara Hodges ([e-mail]), author

EdBuild/edbuildmapr documentation built on June 15, 2021, 9:15 p.m.