For this exercise, I sat around contemplating an idea I
could accomplish with my limited GIS skills. I began by thinking of a nuclear
fallout map I saw a few years ago. I’m from a relatively strange family, and
both my biological brothers, as well as both of my brother-in-laws are
preppers. They all have stockpiles of food and weapons, and for the quite a bit
about SHTF, and TEOTWAWKI (I’ll let you figure those acronyms out yourself). We are all in geographically different areas,
but within Eastern Washington and Northern Idaho, that way, we have several
potential areas for long term survival if the need arises. Okay, enough
background, on to the actual project. I wanted to map the areas in the PNW that
we safe areas for any number of calamities. I wanted to add several datasets,
but unfortunately, the online version limited me to 1000 data points per file,
which wouldn’t work. So I zoomed into
Spokane, figuring I would do a similar idea, but just based on the safest place
to live in Spokane, as that stuff gets important when you are a dad and berated
by your brothers for not being prepared enough.
I started by looking at the obvious stuff, I checked areas
that could potentially flood (this seemed to be more important while I was
living in FL), and checked areas for potential earthquakes. Northern Idaho had
a slightly higher rating than the greater Spokane area, but all areas of
Spokane seemed similar. I then added a
layer for wildfires, mostly because it was cool, but again helped me narrow
down some areas of Spokane as potentially unsafe due to wildfire (mostly border
areas). I then added a layer about
hazardous waste sites. No one wants to live near hazardous waste, and it could
be sites for potential terrorist activities (I’m sounding like my brothers at
this point). The sites narrowed down my
search even further, the valley was out, and so was the eastside of North
Spokane.
I then checked alcoholic beverage spending. I have no idea
if this correlates in any meaningful way, but I was under the assumption that drunken
people may commit more crimes, I didn’t put too much stock in this layer, but
was somewhat curious. I then really wanted to add crime data, but again, 1000
point maximum, so I actually used the City of Spokane GIS site to get a map,
and again it seemed as based on this and other criteria NW Spokane seemed to be
the safest area. (I used a super
scientific algorithm to determine this).
I then wanted to look at a few other criteria, mainly financial. Mainly
the unemployment rate, under the premise that areas with less unemployment will
have less crime (this seemed relatively true). I then looked at average
household income under the same premise, as well as disposable income. Interestingly enough, the area I live in
seems to meet or exceed in all the criteria I looked at, so I am going to show
this to my brothers and let them know how intuitive I am.
I enjoyed this exercise, as I got a feel how easy it could
be to produce maps with layers and criteria with real world implications. I’m
excited to get more proficient with GIS so I can produce relatively usable maps
with my particular interests. That and I might need to decide where to put a
bunker one day.









