Locating Potential
Housing Areas in
Advanced GIS
Dr. Jay Lee
Julia Rausch
Fall 2002
Abstract:
Introduction:
When
choosing an area to live, several different factors are considered.
There
are many other things that make
Although
Since

Ohio County Map. Geauga is located
in the upper northeast corner.

Data Acquisition and Data Quality:
All
of the data is from the U.S. Census, Summary Files 1 and 3. This data can be accessed through the
American Fact Finder on the Census website.
The data obtained from Summary File 1 is 100% coverage, while the data
from Summary File 3 is approximately 1/6 coverage. These households received the long form,
which asks more in-depth questions about various items, including housing. The Census presumes that these households are
representative of others in the area.
All of the data was examined at the block group level, the smallest
areas available for most of the data, while still maintaining confidentiality
of the respondents. Since the data was
for the year 2000, it is out of date; however, considering that its source is
very accurate, slightly older data is still valuable.
Data Input:
The
initial boundaries for the block groups were obtained by converting U.S. Census
Tiger Files for 2000 using the tiger to coverage wizard in ArcToolbox. During the conversion process, the projection
was changed to UTM Zone 17, NAD 83. The
map was then opened in ArcView and the rest of the mapping took place in that
program. The polygons were then merged
into block groups by merging the attribute table data. For all of the individual maps, the data was
first obtained from the Census and then placed into an Excel spreadsheet by
block group. Then value ranges were
created for each characteristic. After
each block group was placed in a range, the groups corresponding to a range
were selected in the county’s attribute table.
A shapefile was then created from those selected fields.
Methodology:
Three scenarios were created to cover various life stages of persons searching for housing.
Scenario 1:
A
young college graduate is searching for relatively inexpensive rental housing
that is located in a community near other single persons. Their income is modest, $50000 a year.



The best area for this person to
search for housing would be in the southern part of
Scenario 2:
A
family of four is looking for a house to buy that will accommodate their
family. They would like to be in an area
that is not too populated and has other families around. They have a dual income of $73000 a year.


This family would be well suited to
this area. It is located in the
northwestern section of
Scenario 3:
An
older couple is looking for a small home for their retirement years. They would like to be in an area with other
families and a sparse population, but one where the houses are smaller. Their yearly income is $37000.



According to their criteria, this
couple would be unable to find suitable housing within
Results:
Housing
characteristics are a good way of selecting potential locations to move
to. By choosing different preferences,
one can decide which factors are most important to them and narrow down any
areas which they would not find appealing.
The single graduate and the dual-income family have housing options
within
Further Research:
Additional
housing preferences could be put into place, such as the proximity to a
library, hospital, or shopping center.
Also, land for sale and potential future land for sale, such as farm
fields, could be included to serve the interests of more people. The entire process could also be automated,
entering preferences and having a computation of which areas meet those
preferences.
Work
Referenced












