Week 7 Assignment

Explanation of the template

Update the title with your information. Make sure to include identification information so that we know it is your submission.

Also update the author name and date accordingly.

Check out the Source Code from the top-right corner </>Code menu.

In the following R code chunk, load_packages is the code chunk name. include=FALSE suggests that the code chunk will run, but the code itself and its outputs will not be included in the rendered HTML. echo=TRUE in the following code chunk suggests that the code and results from running the code will be included in the rendered HTML.

Code

library(sf) 

Linking to GEOS 3.11.2, GDAL 3.8.2, PROJ 9.3.1; sf_use_s2() is TRUE

Code

library(ggplot2) 
library(readr)
library(mapview)

R Spatial Lab Assignment # 1

Don’t use a single chunk for the entire assignment. Break it into multiple chunks.

task 1:

Read CSC file on the drive.

Code

NYS_Health_Facility <- read_csv("Lab 7/NYS_Health_Facility.csv")

Rows: 3990 Columns: 36
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (28): Facility Name, Short Description, Description, Facility Open Date,...
dbl  (8): Facility ID, Facility Phone Number, Facility Fax Number, Facility ...

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.

Get the Lat/Long columns

Code

colnames(NYS_Health_Facility) 

 [1] "Facility ID"                  "Facility Name"               
 [3] "Short Description"            "Description"                 
 [5] "Facility Open Date"           "Facility Address 1"          
 [7] "Facility Address 2"           "Facility City"               
 [9] "Facility State"               "Facility Zip Code"           
[11] "Facility Phone Number"        "Facility Fax Number"         
[13] "Facility Website"             "Facility County Code"        
[15] "Facility County"              "Regional Office ID"          
[17] "Regional Office"              "Main Site Name"              
[19] "Main Site Facility ID"        "Operating Certificate Number"
[21] "Operator Name"                "Operator Address 1"          
[23] "Operator Address 2"           "Operator City"               
[25] "Operator State"               "Operator Zip Code"           
[27] "Cooperator Name"              "Cooperator Address"          
[29] "Cooperator Address 2"         "Cooperator City"             
[31] "Cooperator State"             "Cooperator Zip Code"         
[33] "Ownership Type"               "Facility Latitude"           
[35] "Facility Longitude"           "Facility Location"           

Code

Lat<-as.numeric(NYS_Health_Facility$`Facility Latitude`)
Long<-as.numeric(NYS_Health_Facility$`Facility Longitude`)

Make a sf object

Code

df_clean<-NYS_Health_Facility[!is.na(Lat) & !is.na(Long) & `Lat` > 10, ] 
nys_health_sf<- st_as_sf(df_clean, coords = c("Facility Longitude", "Facility Latitude"), crs = 4326) 
mapview(nys_health_sf,legend = TRUE)

task 2:

Quarto markdown is different from R markdown in terms of chunk options. See chunk options at Quarto website.

Code

print("This is the new code chunk options available in Quarto Markdown")

[1] "This is the new code chunk options available in Quarto Markdown"