The Use of Geographic
Information Systems (GIS) in IR
AIRPO
Alex Bay, New York
June 13th, 2003
Dan Jardine, Research Analyst
Binghamton University (SUNY)
What Is GIS ?
•
•
•
•
Geographic Information Systems
Making Maps!!
Adds Spatial or Visual Component to Data
Effective Method of Portraying Data
– Visual Communication Tool
– “Have you ever really seen your data?”
• Uncovers Spatial Patterns/Relationships
• Key Requirement: A Locational Identifier in Data
(e.g. Address, ZIP Code, etc.)
Areas in IR Where GIS Can Be
Applied
•
•
•
•
•
Enrollment Management
Marketing/Public Relations
Student Affairs
Alumni Donations
Facilities Planning/Management
Examples of IR-Related Data
That Can Be Mapped
• Student Data Files
• Survey Data (e.g. CIRP)
• Admissions Data – (Inquiries, Applications,
Admits & Enrollees)
• High School Data (e.g. EPS)
• Alumni Data
• Facilities Data
• Demographic Data (e.g. U.S. Census Data)
IR Questions GIS Can Help to
Address
•
•
•
•
•
•
Where do our (best) students come from?
Where can we find more students like them?
Where should we focus our recruiting resources?
Do attitudes/expectations differ by region?
Where is the most/least utilized space on campus?
Where should we focus our Alumni donations
campaign?
• Great Planning Tool!!
Selected Cities Within a 300-Mile Radius of Binghamton University
3
les
Mi
0
0
2
les
Mi
0
0
VT
1 00
s
Mile
Rochester
NH
Syracuse
Buffalo
NY
MA
BU
CT
Boston
W orcester
Providence
Cleveland
Bridgeport
Akron
PA
RI
Newark
Pittsburgh
NJ
OH
Philadelphia
MD
Baltimore
W ashington
VA
DE
Locations of Targeted High Schools
(Based on # of Students w/1200+ SAT, Considering Out-of-State Colleges, etc.)
New York
Massachusetts
Connecticut
Rhode Island
Pennsylvania
Ohio
0
50
100
miles
New Jersey
Maryland
Legend
Delaware
NJ-10 Bergen Co.
MD-2 Montgomery Metro
CT-5 Hartford&Tolland Co.
NJ-6 Somerset & Mercer Co.
Virginia
PA-4 Montgomery Co.
PA-10 Southern PA (East)
PA-12 Allegheny Co.
OH-6 Northeast Ohio
(Note: High School Locatios are Based on the "Centroid" of the ZIP Code in which the School Resides
NAME
Clinton
Franklin
Essex
Jefferson
Lew is
Hamilton
Herkimer
Washington
Warren
Osw ego
Oneida
Cayuga
Saratoga
Orleans
Niagara
Monroe
Wayne
Fulton
Onondaga
Madison
Genesee
Erie
Montgomery
Ontario
Seneca
Livingston
Rensselaer
Schenectady
Otsego
Wyoming
Schoharie
Albany
Cortland
Yates
Chenango
Tompkins
Steuben
Chautauqua
Schuyler
Cattaraugus
Allegany
Delaw are
Columbia
INQUIRE99EK APPLY99EK ADMIT99EK
83
34
29
83
15
9
39
36
49
136
231
64
231
28
119
732
64
25
716
105
36
716
34
71
39
56
111
182
89
28
55
368
81
11
131
198
134
69
25
51
39
101
51
35
13
17
31
6
2
11
14
17
51
94
26
120
8
39
336
29
11
347
43
9
337
13
28
19
23
55
101
42
13
19
211
27
2
43
94
34
32
7
29
5
47
21
18
6
8
14
3
1
9
9
8
26
55
18
50
2
14
152
13
6
169
22
3
127
6
15
9
12
33
37
22
6
8
88
15
0
18
35
21
11
3
14
3
22
16
ENROLL99EK APP_Rate ACCEPT_Rate ENROLL_Rate Total_Stud_F99
5
0
1
4
1
1
3
5
2
8
10
5
17
1
3
33
2
0
35
7
1
22
1
1
3
5
9
9
7
2
2
20
5
0
4
12
6
2
0
5
2
11
6
42
38
59
37
40
22
28
39
35
38
41
41
52
29
33
46
45
44
48
41
25
47
38
39
49
41
50
55
47
46
35
57
33
18
33
47
25
46
28
57
13
47
41
51
46
47
45
50
50
82
64
47
51
59
69
42
25
36
45
45
55
49
51
33
38
46
54
47
52
60
37
52
46
42
42
56
0
42
37
62
34
43
48
60
47
76
28
0
13
29
33
100
33
56
25
31
18
28
34
50
21
22
15
0
21
32
33
17
17
7
33
42
27
24
32
33
25
23
33
0
22
34
29
18
0
36
67
50
38
20
3
5
22
2
3
11
16
11
41
57
29
60
9
24
166
7
6
226
32
6
133
6
19
13
11
36
51
60
10
17
133
41
3
171
132
40
17
7
15
11
63
17
Number of Students
by "Permanent" County
Clinton
20
St. Lawrence Franklin
Fall 1999 Semester
3
13
Essex
Jefferson
22
5
Lewis
2
Hamilton Warren
11
Herkimer 3
Washington
41
Orleans
Niagara
Oneida 11
Wayne
9
24
Fulton Saratoga 16
Monroe
57
7
6
Genesee 166
60
Onondaga
6
Ontario Cayuga 226 Madison Montgomery
6Schenectady
32
51
Livingston 19 Seneca29
Erie
Rensselaer
Yates 13
Albany 36
11
133 Wyoming
10
Otsego
Cortland
Schoharie
3
133
Tompkins 41Chenango 60
17
Schuyler
Oswego
132
7
7
171
Chautauqua
CattaraugusAllegany Steuben
TiogaBroome
17
15
11
40 Chemung
87
207
2,209
Delaware
(Fall 1999)
500 to 2,470 (6)
250 to 500 (4)
100 to 250 (9)
50 to 100 (9)
25 to
50 (6)
0 to
25 (28)
17
63
Sullivan
Number of Students
Greene
12 Columbia
Ulster
97 Dutchess
153
74
Putnam
Orange
67 Westchester
203
Rockland
Bronx
332
New York
(Manhattan)
359
527
Nassau
1,330
456
Queens
Richmond Kings 1,276
(Staten Island) 764
320
Suffolk
711
Number of Students
by ZIP Code
Fall 1999 Semester
Number of Students
(Fall 1999)
500 to 2,470 (6)
250 to 500 (4)
100 to 250 (9)
50 to 100 (9)
25 to
50 (6)
0 to
25 (28)
0
50
miles
100
Average SAT Scores by County
1,172
Freshmen, 1998
0
1,110
1,170
1,217
0
0
1,190
1,253
1,230
1,258
1,130
1,222
1,180
Monroe
1,230
Ontario
1,197
Onondaga 1,225
1,210 Seneca
1,330
Chautauqua
0
1,280
1,134
0
1,165
Rensselaer
Albany
1,245
1,064
1,260
Steuben
Washington
Saratoga
Schenectady
1,323
0
1,237
1,080
Oneida
1,249
1,200
1,340
Erie
1,095
0
1,181
1,140
1,217
1,189
1,184
1,177
1,228
Broome
1,265
Average SAT Score
1,300 to 1,350 (3)
1,250 to 1,300 (9)
1,200 to 1,250 (22)
1,150 to 1,200 (12)
1,000 to 1,150 (9)
0 to
0 (7)
Ulster 1,233
1,251
Sullivan
1,223
1,211
1,258
1,226
Rockland 1,148
1,087
1,204
1,226
1,234
1,154 1,201
Percent of CIRP Respondents
Indicating BU as "First Choice College"
By ZIP Code, 1998
Percent BU First Choice
75 to 100 (231)
50 to 75 (145)
33 to 50
(38)
1 to 33
(11)
0
(1173)
0
50
miles
100
Number of Persons Aged 15-19
By ZIP Code
New York State
Number of 15-19 Yr Olds
1,000to 9,140
500 to 1,000
250 to 500
100 to 250
0 to 100
(377)
(189)
(238)
(306)
(488)
0
50
miles
100
Number of Students
by ZIP Code
Fall 1999 Semester
With Population of 15-19 Year Olds Overlay
Number of Students
By ZIP Code
26 to 551
11 to 25
6 to 10
3 to 5
1 to 2
0
(87)
(204)
(128)
(212)
(327)
(640)
0
50
miles
100
Median Household Income
By ZIP Code, 1999
New York State
Median Income
45,000to 120,000 (268)
35,000to 45,000 (282)
30,000to 35,000 (289)
25,000to 30,000 (389)
5,000to 25,000 (349)
0
50
miles
100
Getting Started With GIS
• New York State has Contract with ESRI, makers
of ARCView software
• MapInfo can be purchased from SPSS for around
$250
• Both come loaded with base maps – U.S.,
Counties, ZIP Codes
• Many Websites offer FREE base maps and data –
U.S. Census Bureau
• Forthcoming New Directions Volume on GIS in
IR this Fall – Many Examples!
• http://buoir.binghamton.edu