Notes

The majority of data used in this app are derived from the American Community Survey (ACS). Complete variable definitions can provide more information about each response. These data are survey-based estimates and are subject to error. The errors derive from research design (including instrument bias, data frame, and sampling), the survey data collection (non-response bias and response errors), and processing by the Census Bureau (data coding, compilation processes, and case weighting), as well as statistical inference error and uncertainty (which are related to sample size and variance within the measured attributes). US Census Bureau's report on Accuracy of the Data gives more information about potential sources of error.

Further, producing the "weighted averages" necessarily assumed equal distributions of populations across individual census block groups or tracts in order. Population characteristics are likely to be heterogeneous, rather than homogeneous, across areas. Thus, observed population characteristics within a given buffer distance may not reflect the weighted averages presented here, but that does not diminish the value of the weighted averages as a starting point for conversations and actions to increase equitable usage of parks and trails across the Metro Region.

ACS statistics were used to calculate the percent of people with a certain characteristic within each block group or tract. We scaled these percentages by the 2019 small area population estimates to obtain a more accurate number of people within each group (this more accurate measure of population is not available in collar counties). Weighted averages were produced by multiplying by the percent overlap of a given block group or tract with the buffer zone around individual park and trail units. Variables on disability (% with an ambulatory disability, % with any other disability) and national origin (% US-born, % foreign-born) were calculated at the tract level. All other variables were calculated at the block group.

Data sources

All data used in the application is hosted on the Minnesota Geospatial Commons.

Contributors

Regional Parks and the American Community Survey is an open-source project. All the code for this project available on our GitHub{target="_blank"}.

References

Bibliography includes both data sources and R packages used in app development.

pkgs <- c("attempt", "config", "councilR", "dplyr", "glue", "golem", "htmltools", "leaflet", "magrittr", "processx", "shiny", "pkgload", "leaflet.extras", "testthat", "data.table", "tigris", "fs", "readxl", "janitor", "sf")
bibtex::write.bib(pkgs)
# bibliography: Rpackages.bib
# nocite: '@*'

Allaire, JJ. 2018. Config: Manage Environment Specific Configuration Values. https://CRAN.R-project.org/package=config.

“American Community Survey 5-Year Summary File - Minnesota Geospatial Commons.” 2019. https://gisdata.mn.gov/dataset/us-mn-state-metc-society-census-acs.

“American Community Survey Multiyear Accuracy of the Data (5-Year 2015-2019).” 2019, 29. https://www2.census.gov/programs-surveys/acs/tech_docs/accuracy/ACS_Accuracy_of_Data_2018.pdf?

Bache, Stefan Milton, and Hadley Wickham. 2014. Magrittr: A Forward-Pipe Operator for R. https://CRAN.R-project.org/package=magrittr.

Chang, Winston, Joe Cheng, JJ Allaire, Yihui Xie, and Jonathan McPherson. 2020. Shiny: Web Application Framework for R. https://CRAN.R-project.org/package=shiny.

Cheng, Joe, Bhaskar Karambelkar, and Yihui Xie. 2019. Leaflet: Create Interactive Web Maps with the Javascript ’Leaflet’ Library. https://CRAN.R-project.org/package=leaflet.

Csárdi, Gábor, and Winston Chang. 2020. Processx: Execute and Control System Processes. https://CRAN.R-project.org/package=processx.

Dowle, Matt, and Arun Srinivasan. 2019. Data.table: Extension of ‘Data.frame‘. https://CRAN.R-project.org/package=data.table.

Fay, Colin. 2020. Attempt: Tools for Defensive Programming. https://CRAN.R-project.org/package=attempt.

Firke, Sam. 2020. Janitor: Simple Tools for Examining and Cleaning Dirty Data. https://CRAN.R-project.org/package=janitor.

Guyader, Vincent, Colin Fay, Sébastien Rochette, and Cervan Girard. 2020. Golem: A Framework for Robust Shiny Applications. https://CRAN.R-project.org/package=golem.

Hester, Jim. 2020. Glue: Interpreted String Literals. https://CRAN.R-project.org/package=glue.

Hester, Jim, and Hadley Wickham. 2020. Fs: Cross-Platform File System Operations Based on ’Libuv’. https://CRAN.R-project.org/package=fs.

Karambelkar, Bhaskar, and Barret Schloerke. 2018. Leaflet.extras: Extra Functionality for ’Leaflet’ Package. https://CRAN.R-project.org/package=leaflet.extras.

“Regional Parks - Minnesota Geospatial Commons.” 2018. https://gisdata.mn.gov/dataset/us-mn-state-metc-plan-parks-regional.

“Regional Trails - Minnesota Geospatial Commons.” 2018. https://gisdata.mn.gov/dataset/us-mn-state-metc-trans-regional-trails-exst-plan.

Roten, Liz. 2020. CouncilR: Functions and Templates for the Metropolitan Council. https://github.com/Metropolitan-Council/councilR.

RStudio, and Inc. 2019. Htmltools: Tools for Html. https://CRAN.R-project.org/package=htmltools.

Walker, Kyle. 2020. Tigris: Load Census Tiger/Line Shapefiles. https://CRAN.R-project.org/package=tigris.

Wickham, Hadley. 2011. “Testthat: Get Started with Testing.” The R Journal 3: 5–10. https://journal.r-project.org/archive/2011-1/RJournal_2011-1_Wickham.pdf.

Wickham, Hadley, and Jennifer Bryan. 2019. Readxl: Read Excel Files. https://CRAN.R-project.org/package=readxl.

Wickham, Hadley, Romain François, Lionel Henry, and Kirill Müller. 2020. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.

Wickham, Hadley, Jim Hester, and Winston Chang. 2020. Pkgload: Simulate Package Installation and Attach. https://CRAN.R-project.org/package=pkgload.

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Metropolitan-Council/regionalparks.acs documentation built on Feb. 20, 2022, 2:10 p.m.