This lab consisted of preforming spatial analysis to find the easiest route
for access to a new proposed school in the town of Stowe, Vermont. The town of Stowe,
Vermont has had an increase of population due to many families with children moving in
due to all the recreational activities it offers. The great influx of children is causing
overpopulation in the current schools and therefore a new school is being proposed.
Our first step is to find the best location for this new school. We must first gather our
data and open arc-catalog to use the spatial analyst tool functions. Once we have
displayed our data we can begin to manipulate the data to do a suitable analysis in the
model-builder feature under the spatial analyst tools.
Model builder allows us to display our data in an organized manner and later
calculate and run functions such as distances, etc. Model builder also allows us to
import and change information from raster to vector data-sets so we can make better
use of them in arc-map. We will locate the most suitable place for the new school based
on our land-use, elevation, recreational sites, schools, slope, and relative distances.
Since we do not have all these data-sets, we will have to use model builder to derive
some such as the slope and distances between points. After deriving this information we
will be able to give them a value from 1 to 10 according to their influence on the best
new location. After doing so, we will end up with a map displaying the suitable locations
for the new school. After carefully viewing the most suitable locations and selecting the
one spot that is best, we will then have to find the best access route to get to the new
school.
In order to find the most accessible way to the new school we must preform a
cost distance analysis using the cost distance tool. To preform the cost distance
analysis I will use the cost and source data-sets. I will assign values to the land types
according to its accessibility, for instance water will be 10 while barren land will be 2
because it is easier to build a road through there. When completed, we will end up with
a raster data-set of the least costly route which you will then have to convert to a poly
line feature.
Once all these steps are complete I can proceed to making my final map. In my
final map I have added the location of the new school site, along with the new route. We
can see the types of land the new route traverses along with the nearby roads. We can
see that this new route uses the shortest distance through the roads to save people
time and it will also save money because no new extensive road work will have to be
done. Spatial analysis in terms of suitability analysis and cost analysis is very useful
when planning out new locations for both public and private places. It also allows us to
find the most efficient and accessible way to get from one point to another. Although
spatial analysis has many advantages, it can also cause some problems because it
cannot cover environmental things such as land depths, or account for what may
happen if that area is changed. For instance, if a gas company was looking for a place
to add a gas station they may find a good location but it may have an underground
water system which can be ruined if the gas station was placed there. Another example
is if a mall was looking for a place and the best suitable place was in a section of the
forest because of space, but if the forest is changed it can bring problems to the animals
and ecosystem. We must also consider how up to date the data is that we are using to
create the analysis because things do change over time. Despite these factors,
suitability analysis seems to be good for planning and development.
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