Hello I received help on this topic a while ago and my map is almost there. The issue is that i cannot move the hospital number on the map. I've tried everything under the sun, but I just cannot get the number moved for the counties where the label does not quite go in the middle. Take Erie county for instance. I am able to reposition Erie, but cannot move the 1. I'm hopping i am making some sense here. I'm also hoping there is someone who can help me move this darn number. I have attached the code with the output. Thank you everyone. 1 The SAS System 11:29 Wednesday, May 24, 2017
1 ;*';*";*/;quit;run;
2 OPTIONS PAGENO=MIN;
3 %LET _CLIENTTASKLABEL='Program';
4 %LET _CLIENTPROJECTPATH='';
5 %LET _CLIENTPROJECTNAME='';
6 %LET _SASPROGRAMFILE=;
7
8 ODS _ALL_ CLOSE;
9 OPTIONS DEV=ACTIVEX;
10 GOPTIONS XPIXELS=0 YPIXELS=0;
11 FILENAME EGSR TEMP;
12 ODS tagsets.sasreport13(ID=EGSR) FILE=EGSR
13 STYLE=HtmlBlue
14 STYLESHEET=(URL="file:///C:/Program%20Files/SASHome/SASEnterpriseGuide/6.1/Styles/HtmlBlue.css")
15 NOGTITLE
16 NOGFOOTNOTE
17 GPATH=&sasworklocation
18 ENCODING=UTF8
19 options(rolap="on")
20 ;
NOTE: Writing TAGSETS.SASREPORT13(EGSR) Body file: EGSR
21
22 GOPTIONS ACCESSIBLE;
23 proc gproject data=maps.counties out=ohio;
24
25 /* State FIPS for Ohio */
26
27 where state=39;
28
29 id state county;
30
31 run;
NOTE: PARALLEL1 = 39.296591805.
NOTE: PARALLEL2 = 41.084789971.
NOTE: MERIDIAN = 82.669167298.
NOTE: There were 4247 observations read from the data set MAPS.COUNTIES.
WHERE state=39;
NOTE: The data set WORK.OHIO has 4247 observations and 6 variables.
NOTE: Compressing data set WORK.OHIO increased size by 150.00 percent.
Compressed is 5 pages; un-compressed would require 2 pages.
NOTE: PROCEDURE GPROJECT used (Total process time):
real time 0.05 seconds
cpu time 0.05 seconds
32
33 quit;
34 proc sort data=mapsgfk.us_counties out=centroids;
35 by state county segment;
36 run;
NOTE: There were 1379662 observations read from the data set MAPSGFK.US_COUNTIES.
NOTE: The data set WORK.CENTROIDS has 1379662 observations and 13 variables.
NOTE: Compressing data set WORK.CENTROIDS increased size by 1.48 percent.
Compressed is 2056 pages; un-compressed would require 2026 pages.
NOTE: PROCEDURE SORT used (Total process time):
real time 1.81 seconds
2 The SAS System 11:29 Wednesday, May 24, 2017
cpu time 1.84 seconds
37 data centroids_temp;
38 retain yi yj xi xj a cx cy x0 y0 0;
39 set centroids(keep=state county segment lat long rename=(lat=yj long=xj));
40 by state county segment;
41 if(first.segment) then do;
42 cx = 0;
43 cy = 0;
44 a = 0;
45 x0 = xj;
46 y0 = yj;
47 end;
48 else if(not first.segment) then do;
49 ta = (xi*yj - xj*yi);
50 cx + ((xi+xj)*ta);
51 cy + ((yi+yj)*ta);
52 a + ta;
53 end;
54 if(last.segment) then do;
55 ta = (xj*y0 - x0*yj);
56 cx + ((xj+x0)*ta);
57 cy + ((yj+y0)*ta);
58 a = ta + a * 0.5;
59 cx = cx / (6*a);
60 cy = cy / (6*a);
61 output;
62 end;
63 xi = xj;
64 yi = yj;
65 run;
NOTE: Division by zero detected at line 59 column 13.
NOTE: Division by zero detected at line 60 column 13.
yi=40.623819 yj=40.623819 xi=-73.424268 xj=-73.424268 a=0 cx=. cy=. x0=-73.424268 y0=40.623819 STATE=36 COUNTY=59 SEGMENT=170
FIRST.STATE=0 LAST.STATE=0 FIRST.COUNTY=0 LAST.COUNTY=1 FIRST.SEGMENT=0 LAST.SEGMENT=1 ta=0 _ERROR_=1 _N_=961421
NOTE: Division by zero detected at line 59 column 13.
NOTE: Division by zero detected at line 60 column 13.
yi=36.227656 yj=36.227656 xi=-75.79265 xj=-75.79265 a=0 cx=. cy=. x0=-75.79265 y0=36.227656 STATE=37 COUNTY=53 SEGMENT=112
FIRST.STATE=0 LAST.STATE=0 FIRST.COUNTY=0 LAST.COUNTY=1 FIRST.SEGMENT=0 LAST.SEGMENT=1 ta=0 _ERROR_=1 _N_=995393
NOTE: Missing values were generated as a result of performing an operation on missing values.
Each place is given by: (Number of times) at (Line):(Column).
76 at 49:13 76 at 50:14 76 at 51:14
NOTE: Mathematical operations could not be performed at the following places. The results of the operations have been set to
missing values.
Each place is given by: (Number of times) at (Line):(Column).
2 at 59:13 2 at 60:13
NOTE: There were 1379662 observations read from the data set WORK.CENTROIDS.
NOTE: The data set WORK.CENTROIDS_TEMP has 27310 observations and 13 variables.
NOTE: Compressing data set WORK.CENTROIDS_TEMP increased size by 14.63 percent.
Compressed is 47 pages; un-compressed would require 41 pages.
NOTE: DATA statement used (Total process time):
real time 0.54 seconds
cpu time 0.52 seconds
66 proc sql;
3 The SAS System 11:29 Wednesday, May 24, 2017
67 create table centroid_weight as
68 select
69 state, county, sum(a) as sum
70 from centroids_temp
71 group by state, county;
NOTE: Compression was disabled for data set WORK.CENTROID_WEIGHT because compression overhead would increase the size of the data
set.
NOTE: Table WORK.CENTROID_WEIGHT created, with 3143 rows and 3 columns.
72 quit;
NOTE: PROCEDURE SQL used (Total process time):
real time 0.05 seconds
cpu time 0.04 seconds
73 proc sql;
74 create table centroids as
75 select a.state, a.county,
76 sum(cx*(a / sum)) as lat,
77 sum(cy*(a / sum)) as long
78 from centroids_temp a
79 inner join centroid_weight b
80 on (a.state = b.state and a.county = b.county)
81 group by a.state, a.county;
NOTE: Compressing data set WORK.CENTROIDS increased size by 100.00 percent.
Compressed is 4 pages; un-compressed would require 2 pages.
NOTE: Table WORK.CENTROIDS created, with 3143 rows and 4 columns.
82 quit;
NOTE: PROCEDURE SQL used (Total process time):
real time 0.08 seconds
cpu time 0.09 seconds
83 proc sql;
84 drop table centroids_temp;
NOTE: Table WORK.CENTROIDS_TEMP has been dropped.
85 drop table centroid_weight;
NOTE: Table WORK.CENTROID_WEIGHT has been dropped.
86 quit;
NOTE: PROCEDURE SQL used (Total process time):
real time 0.00 seconds
cpu time 0.00 seconds
87 PROC SQL;
88 CREATE TABLE WORK.FILTER_FOR_CENTROIDS AS
89 SELECT t1.STATE,
90 t1.COUNTY,
91 t1.lat,
92 t1.long
93 FROM WORK.CENTROIDS t1
94 WHERE t1.STATE = 39;
NOTE: Compressing data set WORK.FILTER_FOR_CENTROIDS increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: Table WORK.FILTER_FOR_CENTROIDS created, with 88 rows and 4 columns.
95 QUIT;
4 The SAS System 11:29 Wednesday, May 24, 2017
NOTE: PROCEDURE SQL used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
96
97 proc format library=work;
98 value ohiohos_
99 1 = '1'
100 2 = '2'
101 3 - 5 = '3 - 5'
102 6 - 7 = '6 - 7'
103 7 - 21 = '7 or more'
104 ;
NOTE: Format OHIOHOS_ is already on the library WORK.FORMATS.
NOTE: Format OHIOHOS_ has been output.
105 run;
NOTE: PROCEDURE FORMAT used (Total process time):
real time 0.01 seconds
cpu time 0.00 seconds
106 data work.numofhos0;
107 input county ohiohos @@;
108 HospText = put(ohiohos,ohiohos_.);
109 datalines;
NOTE: SAS went to a new line when INPUT statement reached past the end of a line.
NOTE: The data set WORK.NUMOFHOS0 has 88 observations and 3 variables.
NOTE: Compressing data set WORK.NUMOFHOS0 increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.00 seconds
132 ;
133 run;
134
135 proc sql;
136 create table work.ohnames as
137 select distinct county, countynm label='County Name'
138 from sashelp.zipcode
139 where state=39;
NOTE: Compressing data set WORK.OHNAMES increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: Table WORK.OHNAMES created, with 88 rows and 2 columns.
140 quit;
NOTE: PROCEDURE SQL used (Total process time):
real time 0.03 seconds
cpu time 0.02 seconds
141 %annomac;
*** ANNOTATE macros are now available ***
5 The SAS System 11:29 Wednesday, May 24, 2017
For further information on ANNOTATE macros, enter,
%HELPANO(macroname), (for specific macros)
%HELPANO(ALL), (for information on all macros)
or %HELPANO (for a list of macro names)
142 %maplabel(work.ohio,work.ohnames,work.nameanno,countynm, county,font='Albany AMT/''boldt',
143 color=black,size=1.5);
NOTE: There were 1 observations read from the data set WORK.OHIO.
NOTE: DATA statement used (Total process time):
real time 0.00 seconds
cpu time 0.00 seconds
NOTE: There were 4247 observations read from the data set WORK.OHIO.
NOTE: The data set WORK.DATA109 has 4247 observations and 6 variables.
NOTE: Compressing data set WORK.DATA109 increased size by 150.00 percent.
Compressed is 5 pages; un-compressed would require 2 pages.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
NOTE: There were 4247 observations read from the data set WORK.DATA109.
NOTE: The data set WORK.NAMEANNO has 88 observations and 8 variables.
NOTE: Compressing data set WORK.NAMEANNO increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: PROCEDURE SUMMARY used (Total process time):
real time 0.01 seconds
cpu time 0.02 seconds
NOTE: There were 88 observations read from the data set WORK.NAMEANNO.
NOTE: The data set WORK.NAMEANNO has 88 observations and 4 variables.
NOTE: Compressing data set WORK.NAMEANNO increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.00 seconds
NOTE: Compression was disabled for data set WORK.DATA109 because compression overhead would increase the size of the data set.
NOTE: There were 88 observations read from the data set WORK.NAMEANNO.
NOTE: There were 4247 observations read from the data set WORK.DATA109.
NOTE: The data set WORK.DATA109 has 184 observations and 3 variables.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
NOTE: There were 184 observations read from the data set WORK.DATA109.
NOTE: The data set WORK.DATA109 has 184 observations and 3 variables.
6 The SAS System 11:29 Wednesday, May 24, 2017
NOTE: PROCEDURE SORT used (Total process time):
real time 0.01 seconds
cpu time 0.00 seconds
NOTE: Compression was disabled for data set WORK.NAMEANNO because compression overhead would increase the size of the data set.
NOTE: There were 184 observations read from the data set WORK.DATA109.
NOTE: The data set WORK.NAMEANNO has 88 observations and 3 variables.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
NOTE: There were 88 observations read from the data set WORK.OHNAMES.
NOTE: The data set WORK.DATA110 has 88 observations and 2 variables.
NOTE: Compressing data set WORK.DATA110 increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
NOTE: There were 88 observations read from the data set WORK.DATA110.
NOTE: The data set WORK.DATA110 has 88 observations and 2 variables.
NOTE: Compressing data set WORK.DATA110 increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: PROCEDURE SORT used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
NOTE: Numeric values have been converted to character values at the places given by: (Line):(Column).
143:148
WARNING: Multiple lengths were specified for the BY variable COUNTY by input data sets. This might cause unexpected results.
NOTE: There were 88 observations read from the data set WORK.NAMEANNO.
NOTE: There were 88 observations read from the data set WORK.DATA110.
NOTE: The data set WORK.NAMEANNO has 88 observations and 14 variables.
NOTE: Compressing data set WORK.NAMEANNO increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.00 seconds
NOTE: There were 88 observations read from the data set WORK.NAMEANNO.
NOTE: 0 observations with duplicate key values were deleted.
NOTE: The data set WORK.NAMEANNO has 88 observations and 14 variables.
NOTE: Compressing data set WORK.NAMEANNO increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: PROCEDURE SORT used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
7 The SAS System 11:29 Wednesday, May 24, 2017
144 %maplabel(work.ohio,work.numofhos0,work.Hospanno,ohiohos, county,font='Albany AMT/''boldt',
145 color=black,size=1.7);
NOTE: There were 1 observations read from the data set WORK.OHIO.
NOTE: DATA statement used (Total process time):
real time 0.00 seconds
cpu time 0.00 seconds
NOTE: There were 4247 observations read from the data set WORK.OHIO.
NOTE: The data set WORK.DATA111 has 4247 observations and 6 variables.
NOTE: Compressing data set WORK.DATA111 increased size by 150.00 percent.
Compressed is 5 pages; un-compressed would require 2 pages.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
NOTE: There were 4247 observations read from the data set WORK.DATA111.
NOTE: The data set WORK.HOSPANNO has 88 observations and 8 variables.
NOTE: Compressing data set WORK.HOSPANNO increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: PROCEDURE SUMMARY used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
NOTE: There were 88 observations read from the data set WORK.HOSPANNO.
NOTE: The data set WORK.HOSPANNO has 88 observations and 4 variables.
NOTE: Compressing data set WORK.HOSPANNO increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
NOTE: Compression was disabled for data set WORK.DATA111 because compression overhead would increase the size of the data set.
NOTE: There were 88 observations read from the data set WORK.HOSPANNO.
NOTE: There were 4247 observations read from the data set WORK.DATA111.
NOTE: The data set WORK.DATA111 has 184 observations and 3 variables.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
NOTE: There were 184 observations read from the data set WORK.DATA111.
NOTE: The data set WORK.DATA111 has 184 observations and 3 variables.
NOTE: PROCEDURE SORT used (Total process time):
real time 0.00 seconds
cpu time 0.01 seconds
8 The SAS System 11:29 Wednesday, May 24, 2017
NOTE: Compression was disabled for data set WORK.HOSPANNO because compression overhead would increase the size of the data set.
NOTE: There were 184 observations read from the data set WORK.DATA111.
NOTE: The data set WORK.HOSPANNO has 88 observations and 3 variables.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.01 seconds
NOTE: There were 88 observations read from the data set WORK.NUMOFHOS0.
NOTE: The data set WORK.DATA112 has 88 observations and 3 variables.
NOTE: Compressing data set WORK.DATA112 increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: DATA statement used (Total process time):
real time 0.00 seconds
cpu time 0.01 seconds
NOTE: There were 88 observations read from the data set WORK.DATA112.
NOTE: The data set WORK.DATA112 has 88 observations and 3 variables.
NOTE: Compressing data set WORK.DATA112 increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: PROCEDURE SORT used (Total process time):
real time 0.02 seconds
cpu time 0.01 seconds
NOTE: Numeric values have been converted to character values at the places given by: (Line):(Column).
145:148 145:1 145:1
WARNING: Multiple lengths were specified for the BY variable COUNTY by input data sets. This might cause unexpected results.
NOTE: There were 88 observations read from the data set WORK.HOSPANNO.
NOTE: There were 88 observations read from the data set WORK.DATA112.
NOTE: The data set WORK.HOSPANNO has 88 observations and 14 variables.
NOTE: Compressing data set WORK.HOSPANNO increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: DATA statement used (Total process time):
real time 0.01 seconds
cpu time 0.00 seconds
NOTE: There were 88 observations read from the data set WORK.HOSPANNO.
NOTE: 0 observations with duplicate key values were deleted.
NOTE: The data set WORK.HOSPANNO has 88 observations and 14 variables.
NOTE: Compressing data set WORK.HOSPANNO increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: PROCEDURE SORT used (Total process time):
real time 0.01 seconds
cpu time 0.00 seconds
146
147 data work.combinedanno ;
148
149 set
9 The SAS System 11:29 Wednesday, May 24, 2017
150 work.nameanno (in=Name)
151 work.Hospanno (in=Hosp)
152 ;
153 if Name then position = '2';
154
155 Else if Hosp then position = '5';
156 if county=43 then position = '9';
157 if county=143 then position = 'E';
158
159 /* this is where you could put if statements to adjust
160 the x and or y coordinates to display name or value
161 */
162
163 run;
NOTE: There were 88 observations read from the data set WORK.NAMEANNO.
NOTE: There were 88 observations read from the data set WORK.HOSPANNO.
NOTE: The data set WORK.COMBINEDANNO has 176 observations and 15 variables.
NOTE: Compressing data set WORK.COMBINEDANNO increased size by 100.00 percent.
Compressed is 2 pages; un-compressed would require 1 pages.
NOTE: DATA statement used (Total process time):
real time 0.02 seconds
cpu time 0.01 seconds
164 title1 "Map of Ohio Hospitals By County";
165
166 /* Generate a county map of Ohio with county labels */
167
168 pattern1 v=s color=azure;
169 pattern2 v=s c=cyan;
170 pattern3 v=s color=ligr;
171 pattern4 v=s color=bisque;
172 pattern5 v=s c=bibg;
173 pattern6 v=s color=lime;
174
175
176 proc gmap data=work.numofhos0 map=work.ohio;
177 id county;
178 choro ohiohos / anno=work.combinedanno
179 discrete
180 coutline=black;
181 format ohiohos ohiohos_.;
182 label ohiohos= "Number of Hospitals";
183 run;
184 quit;
NOTE: There were 176 observations read from the data set WORK.COMBINEDANNO.
NOTE: PROCEDURE GMAP used (Total process time):
real time 0.09 seconds
cpu time 0.06 seconds
184 ! title;
185
186
187
10 The SAS System 11:29 Wednesday, May 24, 2017
188 GOPTIONS NOACCESSIBLE;
189 %LET _CLIENTTASKLABEL=;
190 %LET _CLIENTPROJECTPATH=;
191 %LET _CLIENTPROJECTNAME=;
192 %LET _SASPROGRAMFILE=;
193
194 ;*';*";*/;quit;run;
195 ODS _ALL_ CLOSE;
196
197
198 QUIT; RUN;
199 Thanks in advance proc gproject data=maps.counties out=ohio;
/* State FIPS for Ohio */
where state=39;
id state county;
run;
quit;
proc sort data=mapsgfk.us_counties out=centroids;
by state county segment;
run;
data centroids_temp;
retain yi yj xi xj a cx cy x0 y0 0;
set centroids(keep=state county segment lat long rename=(lat=yj long=xj));
by state county segment;
if(first.segment) then do;
cx = 0;
cy = 0;
a = 0;
x0 = xj;
y0 = yj;
end;
else if(not first.segment) then do;
ta = (xi*yj - xj*yi);
cx + ((xi+xj)*ta);
cy + ((yi+yj)*ta);
a + ta;
end;
if(last.segment) then do;
ta = (xj*y0 - x0*yj);
cx + ((xj+x0)*ta);
cy + ((yj+y0)*ta);
a = ta + a * 0.5;
cx = cx / (6*a);
cy = cy / (6*a);
output;
end;
xi = xj;
yi = yj;
run;
proc sql;
create table centroid_weight as
select
state, county, sum(a) as sum
from centroids_temp
group by state, county;
quit;
proc sql;
create table centroids as
select a.state, a.county,
sum(cx*(a / sum)) as lat,
sum(cy*(a / sum)) as long
from centroids_temp a
inner join centroid_weight b
on (a.state = b.state and a.county = b.county)
group by a.state, a.county;
quit;
proc sql;
drop table centroids_temp;
drop table centroid_weight;
quit;
PROC SQL;
CREATE TABLE WORK.FILTER_FOR_CENTROIDS AS
SELECT t1.STATE,
t1.COUNTY,
t1.lat,
t1.long
FROM WORK.CENTROIDS t1
WHERE t1.STATE = 39;
QUIT;
proc format library=work;
value ohiohos_
1 = '1'
2 = '2'
3 - 5 = '3 - 5'
6 - 7 = '6 - 7'
7 - 21 = '7 or more'
;
run;
data work.numofhos0;
input county ohiohos @@;
HospText = put(ohiohos,ohiohos_.);
datalines;
001 1 003 5 005 1 007 3
009 2 011 1 013 3 015 0
017 5 019 0 021 1 023 3
025 1 027 1 029 2 031 1
033 2 035 21 037 1 039 3
041 1 043 1 045 2 047 1
049 17 051 1 053 1 055 2
057 2 059 2 061 16 063 2
065 1 067 1 069 1 071 2
073 1 075 1 077 2 079 1
081 3 083 1 085 2 087 1
089 1 091 1 093 5 095 13
097 1 099 7 101 1 103 2
105 0 107 1 109 1 111 0
113 12 115 0 117 1 119 2
121 0 123 1 125 1 127 0
129 1 131 1 133 1 135 0
137 0 139 3 141 1 143 3
145 2 147 1 149 1 151 6
153 12 155 4 157 3 159 1
161 2 163 0 165 1 167 2
169 2 171 2 173 1 175 1
;
run;
proc sql;
create table work.ohnames as
select distinct county, countynm label='County Name'
from sashelp.zipcode
where state=39;
quit;
%annomac;
%maplabel(work.ohio,work.ohnames,work.nameanno,countynm, county,font='Albany AMT/''boldt',
color=black,size=1.5);
%maplabel(work.ohio,work.numofhos0,work.Hospanno,ohiohos, county,font='Albany AMT/''boldt',
color=black,size=1.7);
data work.combinedanno;
set
work.nameanno (in=Name)
work.Hospanno (in=Hosp) ;
if Name then position = '2';
Else if Hosp then position = '5';
if county=123 then position = 'F';
if county=43 then position = '9';
if county=143 then position = 'E';
/* this is where you could put if statements to adjust
the x and or y coordinates to display name or value
*/
run;
title1 "Map of Ohio Hospitals By County";
/* Generate a county map of Ohio with county labels */
pattern1 v=s color=azure;
pattern2 v=s c=cyan;
pattern3 v=s color=ligr;
pattern4 v=s color=bisque;
pattern5 v=s c=bibg;
pattern6 v=s color=lime;
proc gmap data=work.numofhos0 map=work.ohio;
id county;
choro ohiohos / anno=work.combinedanno
discrete
coutline=black;
format ohiohos ohiohos_.;
label ohiohos= "Number of Hospitals";
run;
quit;
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