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Data for the paper "Food Deserts or Food Oases? Predicting Grocery Store Locations in Hamilton, Ontario"

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zehuiyin/GroceryStoreHamiltonData

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GroceryStoreHamiltonData

This package is an activity completed by Zehui Yin for the course GEOG 712 Reproducible Research Workflow with GitHub and R, taught by Dr. Antonio Paez in Fall 2024.

It contains the data for the paper titled “Food Deserts or Food Oases? Predicting Grocery Store Locations in Hamilton, Ontario,” which is the final project for the course and is also hosted on GitHub.

Installation

You can install the development version of GroceryStoreHamiltonData from GitHub with:

if(!require(remotes)){
    install.packages("remotes")
    library(remotes)
}
remotes::install_github("zehuiyin/GroceryStoreHamiltonData")

Example

This is a basic example which shows you how to solve a common problem:

library(GroceryStoreHamiltonData)

Load and plot the grocery_CT vector data. This dataset includes the geometry of all the census tracts in Hamilton and contains a variable that shows the count of grocery stores in each census tract.

data("grocery_DA")
hist(grocery_DA$Freq,
     main = "Grocery Store Count of Census Dissemination Area in Hamilton",
     xlab = "Grocery Store Count")

Alternatively, we can use the prepare_data() function to obtain a cleaned dataset, which I utilized in the paper “Food Deserts or Food Oases? Predicting Grocery Store Locations in Hamilton, Ontario.”

grocery_DA <- prepare_data()
summary(grocery_DA[,c("Freq", "PCT_single_detached")])
#>       Freq         PCT_single_detached          geometry  
#>  Min.   :0.00000   Min.   :  0.00      MULTIPOLYGON :891  
#>  1st Qu.:0.00000   1st Qu.: 37.86      epsg:26917   :  0  
#>  Median :0.00000   Median : 72.44      +proj=utm ...:  0  
#>  Mean   :0.09877   Mean   : 63.79                         
#>  3rd Qu.:0.00000   3rd Qu.: 93.94                         
#>  Max.   :4.00000   Max.   :104.17                         
#>                    NA's   :4

How to cite

Yin, Z. (2024). GroceryStoreHamiltonData: Data for the paper “Food Deserts or Food Oases? Predicting Grocery Store Locations in Hamilton, Ontario”. https://github.com/zehuiyin/GroceryStoreHamiltonData

@Manual{GroceryStoreHamiltonData,
  title = {GroceryStoreHamiltonData: Data for the paper "Food Deserts or Food Oases? Predicting Grocery Store Locations in Hamilton, Ontario"},
  author = {Zehui Yin},
  year = {2024},
  note = {R package version 1.1},
  url = {https://github.com/zehuiyin/GroceryStoreHamiltonData}
}

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Data for the paper "Food Deserts or Food Oases? Predicting Grocery Store Locations in Hamilton, Ontario"

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