geo mapping for data visualization - rapid insight · 2020. 3. 14. · college matriculation by nh...

GEO MAPPING FOR

DATA VISUALIZATION

Suzanne Wasileski, Ph.D.

Institutional Researcher

White Mountains Community College

https://www.nytimes.com/2018/05/24

/science/coyotes-americas-

spread.html

1900

By User:Jajhill (talk) - File:Map of USA with county outlines (black & white).png, CC

BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=37835627

By User:Jajhill (talk) - File:Map of USA with county outlines (black & white).png, CC

BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=37835627

GOALS FOR THIS PRESENTATION

How do we get the data that we

want into maps?

How can Veera help?

EASY

Sometimes the

features are

inherently

geographic,

someone else

has done the

work, and we

can simply

pick out what

we need…

MANUAL

ENTRY

When there

is not much

information,

it can be

entered by

hand…

By User:Jajhill (talk) - File:Map of USA with county outlines (black & white).png, CC

BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=37835627

NOT Easy, NOT Manual Entry (>3100 counties)

College Matriculation by NH School District, Class of 2012

dstid district schid school

% Enrolling

in Two Year

% Enrolling

in Four Year

185 Franklin 20660 Franklin High School 36.5% 14.9%

51 Berlin 20050 Berlin Senior High School 33.7% 28.6%

407 Northumberland 22900 Groveton High School 33.3% 20.5%

486 Shaker Regional 22145 Belmont High School 30.3% 32.0%

306 Lisbon Regional 23100 Lisbon Regional School (High) 30.3% 27.3%

453 Raymond 21390 Raymond High School 30.1% 33.7%

203

Gorham Randolph

Shelburne Cooperative 20750 Gorham High School 29.2% 37.5%

388 Newfound Area 20085 Newfound Regional High School 28.2% 20.0%

582 Winnisquam Regional 22950 Winnisquam Regional High School 27.9% 28.7%

285 Laconia 21255 Laconia High School 27.4% 24.4%

105 Colebrook 20185 Colebrook Academy 27.3% 54.6%

534 Timberlane Regional 22770 Timberlane Regional High School 27.2% 42.3%

476 Sanborn Regional 20620 Sanborn Regional High School 27.0% 35.0%

970 Prospect Mountain JMA 28215 Prospect Mountain High School 26.7% 34.5%

709

Great Bay eLearning

Charter School 28445

Great Bay eLearning Charter School

(H) 26.7% 16.7%

352 Merrimack Valley 22195 Merrimack Valley High School 25.6% 34.4%

359 Milton 22070 Nute High School 24.4% 31.7%

425 Pelham 21105 Pelham High School 23.8% 55.6%

0

50

100

150

200

250

300

350

400

450

500

550

600

Credits Billed for WMCC

Conway/North Conway by Semester

SW 2/27/2018

STILL…

… questions remain:

Is North Conway

“cannibalizing” students

from other sites?

NEED

SOME MAPS

WITH WMCC

DATA

ESRI’s ArcGIS

mapping software

Base maps provide a

foundation and set

parameters (including

the map projection)

By User:Jajhill (talk) - File:Map of USA with county outlines (black & white).png, CC

BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=37835627

Projections:

Lambert Conformal Conic

http://www.manifold.net/doc/radian/

lambert_conformal_conic_projection.htm

Mercator Projection

Mercator Projection

www.scoop.it/t/geography-education/p/560646271/2011/10/18/the-human-head-as-a-mercator-projection

BACK TO

MAP

BUILDING…

“Layers” add

the desired

information

to the base

map.

HOW DO

DATA GET

INTO MAPS?

Map layers of

general

interest can be

found on the

internet for

download.

Layers locate

themselves in

reference to

the base map.

HOW DO

DATA GET

INTO MAPS?

Commonly

used layers

can be

saved for

re-use.

BUT HOW DO MY DATA GET INTO MAPS?

ALMOST THERE…

Base map = foundation, projection

Layers:

align themselves with base map

are the graphic representation of

data in the “Attribute Table”

The layers

are

intricately

tied to the

base map,

so that they

locate

themselves.

Attribute tables look like spreadsheets, but:

They contain intricate geo-location information.

Institutional data (e.g., enrollment) do not have this information.

To go into a map, the institutional data must connect with an existing attribute table that has geo-location information.

The institutional data must be prepped before it is connected, or “joined."

Enter, Veera!

Data Preparation:

File Requirements (Excel)

Numerical variables must be represented as integer or real in the Excel file in order to be quantified in ArcGIS.

In this example, number of students per zip code, a frequency variable, is integer.

The “join” variable must be of the same variable type as in the attribute table.

I decided to tie to the New England zip code map.

Zip code is a text field in the attribute table (to deal with the leading 0 problem), so it must be text in my file.

Variable names must appear in the first row,

and they must not have spaces.

Building off Existing “Dashboard” Job

ZipTrim WMC_Campus_Test_3 Berlin Littleton North Conway Online

01012 ID_Count 1 1 1

01821 ID_Count 1

01969 ID_Count 2 1

03033 ID_Count 1

03034 ID_Count 1

03055 ID_Count 1

03060 ID_Count 1

03282 ID_Count 1 1

03285 ID_Count 1

03301 ID_Count 1 1 3

03304 ID_Count 1

03467 ID_Count 1

03561 ID_Count 13 45 3 31

03570 ID_Count 106 11 6 71

03574 ID_Count 2 11 7

03575 ID_Count 1

03576 ID_Count 11 5 2 12

03579 ID_Count 1

Veera Job’s Output Report

STEPS TO PREP FILE FOR ARCGIS

Convert frequency columns to integer

Get rid of any spaces in variable names

Delete unwanted variables

Save as Excel file

ZipTrim Berlin Littleton Conway Online

01012 1 1 1

01821 1

01969 2 1

03033 1

03034 1 1

03037 1

03055 1

03060 1

03076 1

03077 1

03079 1

03086 1

03087 1 2

03102 2

03106

Excel File ready for ArcGIS

Attribute Table in ArcGIS

Suzanne Wasileski

Institutional Research

White Mountains Community College

swasileski@ccsnh.edu

https://studentaid.ed.gov/sa/about/data-

center/student/application-

volume/fafsa-completion-high-school