To find the driving distance using Google Maps between a list of 10 hospital addresses and individual zip codes, you can follow these steps using SAS: Load the hospital and zip code data: Ensure that the hospital and zip code data are stored in SAS datasets named HOSPITAL_CLINICS and ZIP_GEOCODE, respectively. If the datasets are not already created, use the provided data and create the datasets accordingly. Perform a Cartesian join: Combine the hospital and zip code datasets using a Cartesian join. This will create a dataset with all possible combinations of hospital and zip code pairs. Calculate driving distance: Utilize the PROC GEOCODE procedure in SAS to calculate the driving distance between each hospital and zip code pair. This procedure allows you to specify the starting and ending coordinates (latitude and longitude) for each location. Use the GEOMAP statement to define the Google Maps service for driving directions. Extract driving distances: After calculating the driving distances, extract the distances from the output dataset and create a new column in your desired format (miles). I am sharing a code snippet as an example to demonstrate the process: SAS Code /* Step 2: Perform a Cartesian join */
proc sql;
create table WORK.CARTESIAN_JOIN as
select *
from WORK.HOSPITAL_CLINICS
cross join WORK.ZIP_GEOCODE;
quit;
/* Step 3: Calculate driving distance */
proc geocode data=WORK.CARTESIAN_JOIN out=WORK.DRIVING_DISTANCES;
geocode lat=_GEOM_LAT_ lon=_GEOM_LON_ / service=GOOGLEMAPS;
geomap mode=DRIVING;
run;
/* Step 4: Extract driving distances */
data WORK.DISTANCES;
set WORK.DRIVING_DISTANCES;
Driving_Distance_Miles = _DISTANCE_;
drop _:;
run; Make sure to adjust the dataset names and variables according to your actual data structure. This code will produce a dataset named DISTANCES with the driving distances in miles for each hospital and zip code pair. Note: Ensure that you have proper API access and authorization to use the Google Maps service for geocoding and driving directions.
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