For my fourth lab, I followed a 5-part
tutorial given by ArcGIS. Through this single yet extensive lab, I was able to
utilize one set of data and manipulate it for three different purposes. Many basic and important techniques were taught throughout the tutorial. It took
me much longer than expected to complete, which Professor Sheng has repeatedly told
us. This reason is probably why he emphasizes, and writes in our lab
instructions, to save our work as we go along. Overall ArcGIS is a great tool
to help with data analysis. However, there are still certain drawbacks to using
this program.
User-friendly
is not word that I would readily use for this program. Following directions
would be very difficult if someone is using this program without any prior
experience. Having some previous exposure helped in managing the program. Even
then, getting through the tutorial was very time consuming. Also, the program
is very susceptible to accidents that may have you start from scratch. There
was one point during the lab that my map would not show up in the “Layout View”
or even when I tried to print preview. These mistakes are not easily undone
because the “Undo” button only goes so far back.
Once
mastery of this system has been accomplished, then the true potential of this
program can be revealed. ArcGIS is helpful for mass amounts of data. Data
portrayal can also be strategically manipulated in order to help others learn
about spatial relationships. Therefore, scientific data can be better
understood by those who are not well-versed, or simply do not have the time to
locate these associations. Policy makers and stakeholders are some examples of
people who need to understand these correlations quickly and thoroughly.
For
a beginning tutorial, this lab was a difficult one. It was able to cover many
useful features such as symbology, joining attribute tables, and basic
cartography techniques. ArcGIS also allows for one to customize maps and make
them aesthetically appealing to any audience. The tutorial also allowed us to apply
analytic techniques to large amounts of data. For example, we calculated the population
density of many areas with a simple equation and illustrated the differences
through a symbolic color ramp. ArcGIS has plenty of potential and like with
many other technologies, there are still obstacles the program still needs to
overcome. Still, these setbacks do not fully prevent the program from being a
valuable tool.
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