BookmarkSubscribeRSS Feed
CathyB
Calcite | Level 5

Using the excellent instructions recommended in Proc GMap County and State Boundaries" responses, I created a map with heavy state boundaries and lighter county boundaries.

 

Then, I used the instructions found in this document https://www.lexjansen.com/nesug/nesug03/bt/bt005.pdf to create a colored chrono map with select counties in various colors.  

 

However, the results are a mish mash of dark and lighter lines. The appropriate counties are correctly colored.

 

proc gmap map=AdaMap data=AdaMap anno=State_outline;
id state county;
choro segment / levels=1
nolegend
coutline=grayaa;    *Light grey county lines;
run;

 

* Create st/co fips var in Map dataset and data dataset for matching;
data AdaData;
set AdaData;
FIPS=cats(W_StFIPS,"_",W_CoFIPS);
put FIPS=;
run;

 

data AdaMap;
set adamap;
FIPS=cats(State,"_",County);
put FIPS=;
run;


/* Preparing for the chrono map */

proc format;
value Workers_fmt
0-25 = '1 to 25'
26-50 = '26 to 50'
51-100 = '51 to 100'
101-200 = '100 to 200'
201-500 = '201 to 500'
501-1000 = '501-1,000'
1000-500000 = 'Over 1,000'
;
run;

 

* fill patterns for the map areas;
pattern1 v=s c=pab;
pattern2 v=s c=grpb;
pattern3 v=s c=mogb;
pattern4 v=s c=mopb;
pattern5 v=s c=grb;
pattern6 v=s c=papb;


* create instructions for legend location and appearance;
legend1
origin=(5,10) pct 
mode=share 
across=1 
label=none
value=(j=r) 
shape=bar(3,4) pct;  

 

proc gmap
data=AdaData 
map=AdaMap (where=(density lt 6)) 
all;
id FIPS; 
choro workers / discrete
legend=legand1; 
format workers workers_fmt.;
note ' Ada Map Data set' 
j=l ' Ada County Outbound Commuters';
run;
quit;

 

 

Here is my code. (Previous code creates the state/county map, and the following creates the colored chrono map.)

 

 Where am I going wrong?  Is there an order of procs I'm overlooking that will annotate the state outlines on top of the colored choro map?

......

proc gmap map=AdaMap data=AdaMap anno=State_outline;
id state county;
choro segment / levels=1
nolegend
coutline=grayaa;    *Light grey county lines;
run;

 

* Create st/co fips var in Map dataset and data dataset for matching;
data AdaData;
set AdaData;
FIPS=cats(W_StFIPS,"_",W_CoFIPS);
put FIPS=;
run;

 

data AdaMap;
set adamap;
FIPS=cats(State,"_",County);
put FIPS=;
run;


/* Preparing for the chrono map */

proc format;
value Workers_fmt
0-25 = '1 to 25'
26-50 = '26 to 50'
51-100 = '51 to 100'
101-200 = '100 to 200'
201-500 = '201 to 500'
501-1000 = '501-1,000'
1000-500000 = 'Over 1,000'
;
run;

 

* fill patterns for the map areas;
pattern1 v=s c=pab;
pattern2 v=s c=grpb;
pattern3 v=s c=mogb;
pattern4 v=s c=mopb;
pattern5 v=s c=grb;
pattern6 v=s c=papb;


* create instructions for legend location and appearance;
legend1
origin=(5,10) pct 
mode=share 
across=1 
label=none
value=(j=r) 
shape=bar(3,4) pct;  

 

proc gmap
data=AdaData 
map=AdaMap (where=(density lt 6)) 
all;
id FIPS; 
choro workers / discrete
legend=legand1; 
format workers workers_fmt.;
note ' Ada Map Data set' 
j=l ' Ada County Outbound Commuters';
run;
quit;

 

My ultimate goal will be to superimpose directional arrows from the source county to the commuted-to counties.  If anyone has done something similar, I would like to know how it was done.

 

Thanks to all.

 

Cathy

 

 

1 REPLY 1

SAS Innovate 2025: Call for Content

Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!

Submit your idea!

How to Concatenate Values

Learn how use the CAT functions in SAS to join values from multiple variables into a single value.

Find more tutorials on the SAS Users YouTube channel.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 1 reply
  • 561 views
  • 0 likes
  • 2 in conversation