The tidycensus package is really neat. There is an example in the vignettes that tracks flows of people by county that I wanted to recreate for Marion County Oregon. It is the vignette on other datasets.

Code

library(tidycensus)
library(tidyverse)
library(tigris)
options(tigris_use_cache = TRUE)
marion_flows <- get_flows(
  geography = "county",
  state = "OR",
  county = "Marion",
  year = 2018,
  geometry = TRUE
  )

I want to directly as I can borrow this.

Code

top_move_in <- marion_flows %>% 
  filter(!is.na(GEOID2), variable == "MOVEDIN") %>% 
  slice_max(n = 25, order_by = estimate) %>% 
  mutate(
    width = log(estimate),
    tooltip = paste0(
      scales::comma(estimate * 5, 1),
      " people moved from ", str_remove(FULL2_NAME, "Metro Area"),
      " to ", str_remove(FULL1_NAME, "Metro Area"), " between 2014 and 2018"
      )
    )

Code

library(htmlwidgets)
# md <- 
top_move_in %>% 
  mapdeck(pitch = 45) %>% 
  add_arc(
    origin = "centroid1",
    destination = "centroid2",
    stroke_width = "width",
    auto_highlight = TRUE,
    highlight_colour = "#8c43facc",
    tooltip = "tooltip"
  )

Code

#frameWidget(md)

References

Code

knitr::write_bib(names(sessionInfo()$otherPkgs), file="bibliography.bib")

References

Cooley, David. 2020. Mapdeck: Interactive Maps Using Mapbox GL JS and Deck.gl. https://symbolixau.github.io/mapdeck/articles/mapdeck.html.

Müller, Kirill, and Hadley Wickham. 2022. Tibble: Simple Data Frames. https://CRAN.R-project.org/package=tibble.

Vaidyanathan, Ramnath, Yihui Xie, JJ Allaire, Joe Cheng, Carson Sievert, and Kenton Russell. 2023. Htmlwidgets: HTML Widgets for r. https://github.com/ramnathv/htmlwidgets.

Walker, Kyle. 2023. Tigris: Load Census TIGER/Line Shapefiles. https://github.com/walkerke/tigris.

Walker, Kyle, and Matt Herman. 2023. Tidycensus: Load US Census Boundary and Attribute Data as Tidyverse and Sf-Ready Data Frames. https://walker-data.com/tidycensus/.

Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org.

———. 2022a. Stringr: Simple, Consistent Wrappers for Common String Operations. https://CRAN.R-project.org/package=stringr.

———. 2022b. Tidyverse: Easily Install and Load the Tidyverse. https://CRAN.R-project.org/package=tidyverse.

———. 2023. Forcats: Tools for Working with Categorical Variables (Factors). https://CRAN.R-project.org/package=forcats.

Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.

Wickham, Hadley, Winston Chang, Lionel Henry, Thomas Lin Pedersen, Kohske Takahashi, Claus Wilke, Kara Woo, Hiroaki Yutani, and Dewey Dunnington. 2023. Ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics. https://CRAN.R-project.org/package=ggplot2.

Wickham, Hadley, Romain François, Lionel Henry, Kirill Müller, and Davis Vaughan. 2023. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.

Wickham, Hadley, and Lionel Henry. 2023. Purrr: Functional Programming Tools. https://CRAN.R-project.org/package=purrr.

Wickham, Hadley, Jim Hester, and Jennifer Bryan. 2023. Readr: Read Rectangular Text Data. https://CRAN.R-project.org/package=readr.

Wickham, Hadley, Davis Vaughan, and Maximilian Girlich. 2023. Tidyr: Tidy Messy Data. https://CRAN.R-project.org/package=tidyr.