RPubs Assignment

Problem 1

Make the leaflet and tidyverse packages available. This implies that you have already installed them on your computer.

library(leaflet)
library(tidyverse)

## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.2 ──
## ✔ ggplot2 3.4.0      ✔ purrr   1.0.1 
## ✔ tibble  3.1.8      ✔ dplyr   1.0.10
## ✔ tidyr   1.3.0      ✔ stringr 1.5.0 
## ✔ readr   2.1.3      ✔ forcats 0.5.2 
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()

Problem 2

Use Leaflet to display your central location, probably the address where you live.

# Place your code here.
myLong = -122.819268
myLat = 47.0404364
leaflet() %>%
  addTiles() %>%
  addMarkers(myLong,myLat,popup = "My House")

Problem 3

Use Leaflet with the default tiles to display the locations in your myLocs file.

# Place your code here.
myLocs = read_csv("myLocs.csv")

## Rows: 4 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (1): ID
## dbl (2): lat, lon
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

myMap = myLocs %>%
  leaflet() %>%
  addTiles() %>%
  addMarkers(popup = ~ID)

## Assuming "lon" and "lat" are longitude and latitude, respectively

myMap

Problem 4

Do that again with a different provider.

# Place your code here.
myMap = myLocs %>%
  leaflet() %>%
  addProviderTiles("Stamen") %>%
  addMarkers(popup = ~ID)

## Assuming "lon" and "lat" are longitude and latitude, respectively

myMap

Problem 5

Do that again with another provider.

# Place your code here.
myMap = myLocs %>%
  leaflet() %>%
  addProviderTiles("Esri.NatGeoWorldMap") %>%
  addMarkers(popup = ~ID)

## Assuming "lon" and "lat" are longitude and latitude, respectively

myMap

Problem 6

Which provider looks best to you? No code, just write.

To me, I prefer the Esri Map because I prefer to have color on my map compare to the black and white using Stamen.