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05-24-2017 01:27 PM

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;
```

Accepted Solutions

Solution

05-25-2017
09:48 AM

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Posted in reply to 10134458

05-24-2017 02:18 PM

Most of the code you posted is not needed. The key bit will be in this data step:

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;

You will need to examine the coordinate from you map of the counties or hospitals that you do not like.

Then look them up in the above data set. You then conditional change either the x, the y or both coordinates.

Suppose County x label has a coordinate of x= -0.027 and y= -0.035 (which since the center of the map is usually (0,0) ) and I want to move that label a little bit to the left (negative) and up (positive) I would add something like:

If County = xxx then do;

x= -0.033; ( or use x = x -0.006

y= -0.03; (or use y = y + 0.005

end;

Then rerun the data step making that annotate and retry the map. It may take a little while to get a feel for how much to change things.

Note that the POSITION indicator is in relation to an (x,y) map point.

If you have a number of adjustments then Select /when may make the code easier to follow:

Select (County);

when (xxx) do; x= x - 0.006; y= y+ 0.005; end;

when (yyy) do; x= x + 0.01 ; y= y- 0.01; end;

/* repeat for each county that needs a tweek*/

otherwise; /* do nothing for the ones with no change desired*/

end;

Note I have a county label data set that I have manually set this way for pretty much every county as almost none of ours are rectangular. I have that set in a permanent library and bring it out when I need to match a data value for display.

And for school districts as well as multi-county adminstrative regions.

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Solution

05-25-2017
09:48 AM

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Posted in reply to 10134458

05-24-2017 02:18 PM

Most of the code you posted is not needed. The key bit will be in this data step:

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;

You will need to examine the coordinate from you map of the counties or hospitals that you do not like.

Then look them up in the above data set. You then conditional change either the x, the y or both coordinates.

Suppose County x label has a coordinate of x= -0.027 and y= -0.035 (which since the center of the map is usually (0,0) ) and I want to move that label a little bit to the left (negative) and up (positive) I would add something like:

If County = xxx then do;

x= -0.033; ( or use x = x -0.006

y= -0.03; (or use y = y + 0.005

end;

Then rerun the data step making that annotate and retry the map. It may take a little while to get a feel for how much to change things.

Note that the POSITION indicator is in relation to an (x,y) map point.

If you have a number of adjustments then Select /when may make the code easier to follow:

Select (County);

when (xxx) do; x= x - 0.006; y= y+ 0.005; end;

when (yyy) do; x= x + 0.01 ; y= y- 0.01; end;

/* repeat for each county that needs a tweek*/

otherwise; /* do nothing for the ones with no change desired*/

end;

Note I have a county label data set that I have manually set this way for pretty much every county as almost none of ours are rectangular. I have that set in a permanent library and bring it out when I need to match a data value for display.

And for school districts as well as multi-county adminstrative regions.

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Posted in reply to ballardw

05-25-2017 09:49 AM

Thank you so much for your assistance. It worked perfectly. I appreciate this so much.