Learning is indeed a lifelong voyage of discovery, and I hope that we're all
inspired to continue learning and growing, challenging our brains, sharing
what we know, teaching The Science of Where. And perhaps no program exemplifies
this more than the National 4-H GIS GPS leadership team. We're applying The
Science of Where results directly in community action, and we have three
outstanding young scientists all the way from Tennessee to show us the way.
So please welcome Austin, Amanda and Elizabeth.
Thank you Dawn. Thank You Dawn. 4-H is a service learning organization
represented nationally. Nothing better explains 4-H their own pledge. We would
like to share it with you today: I pledge my head to clearer thinking, my heart to
greater loyalty, my hands larger service and my health to better living. For my
club, my community, my country and my world. We're members of the
National 4-H GIS GPS leadership team. Last year, our team was made up of 10
different youths from four states across the country. California, North Carolina,
New York, and of course Tennessee. Each year, our team attends the Esri User
Conference and last year sitting around a table in the expo, our idea for a
yearly project was born. But it wasn't anything fancy, we were just hanging out
and brainstorming, and we asked ourselves: what are we passionate about? The group
consensus was health. We chose to take on a national health project because of the
significance it could have with America and 4-H. So one of the first steps in our
process was interviewing local and national health professionals, and one of
these interviews actually led us to discovering the data we'd be using in
our map, from countyhealthratings.org. So once we found that data from
countyhealthrankings.org, it was really just a lot of numbers and we knew that we
wanted to have obesity to be our main health factor and have four other health
factors related to obesity. The four factors we decided upon were diabetes, food
insecurity, children of poverty, and lack of exercise access. We began making the
first draft of our poster map, but then our geo mentor showed us many more ways that
we could visualize the data in ArcGIS Pro and use it on a whole, another level.
So instead of hearing us talk about it, we're going to show you all.
So what you see currently on the map is the spreadsheet data join to counties,
with all of our health variables inside a layer. We are
currently showing obesity rates, with red showing high obesity rates and green
showing lower obesity rates. Now one of the tools that I really love in ArcGIS
Pro was some of the cool analysis tools. So I'm going to show you the hotspot
analysis tool. So we're going to go to analysis and we're going to go to tools,
we're going to search for hotspot. Now we're going to utilize the optimized
hotspot analysis tool. Our input features is going to be our data layer, adult
obesity and we're going to analyze this by obesity, then we're going to run this
tool. So what this tool is going to show us is areas of hotspots or high obesity
rates, or areas of cold spots or lower obesity rates. And this is really cool to
visualize the data so we can start to see trends and patterns like down here
in the southeast, where you've got high obesity rates as a hotspot, or in the
west, cold spots of low obesity rates. Now a way to add on top of this layer is
to add the outliers, so we're going to again go to analysis and tools, we're
going to search for outlier. Now we're going to utilize the optimized outlier
analysis tool. Again we're going to utilize adult obesity as our layer, we're
going to analyze by obesity and we're going to run. Now what this tool is going
to show us is inside the hotspots, areas of outliers. So in a hot spot of high
obesity you'll find counties that's got low obesity rates, or in a cold spot
areas that have high obesity rates, with counties surrounding with low obesity rates.
And here you see the blue dots showing the low obesity rates in the southeast
with counties surrounding it, with high obesity rates. Now to see these two
layers together, we're going to utilize the swipe tool. So we're going to go to
appearance and we're going to go to swipe. Now this tool will let us drag
across the data and see the hotspots with the outliers behind it and come
inside of the hotspots. So before I get started I'm going to clean up Austin's
mess here, and one of the things that I really liked in ArcGIS Pro
was all the charts that you can do. So you guys, like the health factor
I'm going to use adult obesity - right click and go to create chart. And here
you have bar chart, line chart, scatter plots, histograms, and box plots and I'm
going to use scatter plots. Over the x-axis number I'm going to choose
diabetes and for the y-axis obesity, and there's our scatter plot. Now I wanted to
do the scatter plot so it could show the relationships
between obesity and the four health factors, and the scatter plot right here
shows the relationship between diabetes and obesity. Now the colors on the chart
match the counties on the map, so if you're looking at this and say well I
want to see what my county or state ranks, then we can do something called a
definition query. So you're going to go to data, hit definition query, and add a clause. Select
State and then I'm going to type in Tennessee because that's where I'm from,
and select add. And then you're going to press ok. So I'm going to zoom into Tennessee
and if I select this red dot right here which is high and obesity, it's going to
show me where that county is in Tennessee, and if I select this green dot
which is low in obesity, it's going to do the same thing. So to get out of the
definition query, we're going to go back to data, definition query, and we're going
to click the right at X and select ok. Then I'm going to clear everything off for Elizabeth.
Thanks Amanda. So one of my favorite tools was
something called a grouping analysis. So we're going to give you, we're going to
zoom it back out first, and then we're going to do it like Austin and go to
analysis and hit tools, except at this time we're going to search for grouping,
and we're going to run a grouping analysis. The input feature I want to
use is adult obesity, because that's my main factor, and then we had to create a
unique ID field in order for the analysis to even run. You can have any
number of classes but for this purpose I'm using 3, and then we're going to
pick the four factors we want to analyze against obesity.
And then we're going to do no spatial constraints and we're going to run the analysis.
And what it's going to do is it's going to average the rates of the
four factors, compare them to obesity and divide them into classes, like so. So this
is pretty simple to understand, but just to make it easier we're going to do like
Amanda did and create a chart, except for I'm going to do a box plot and I'm going
to hide these ribbons so we have some more room. And add the four factors that
I did when I was doing the analysis. Then we're going to split this group by
the SS group which was the analysis we just did. And as you can see, it gives us
two options for box plots: this one is broken down by class, but I prefer to
look at the mean lines. So what this shows is the grey line shows the range
of values in our data set, and the gray box shows where 50% of the counties on
the map fall. The lines correlate with the groups on the map, where red is high
in obesity and the four factors. So after analyzing these factors and looking at
the various maps and plots, we noticed some strong correlations between these
four factors and obesity. But it also raised a lot of questions:
Why are certain areas of the map higher in obesity than others? Is it because of
these four factors, or is there another driving force behind the American
obesity epidemic? Honestly guys, at this rate we don't know yet, but as we move
forward with this project, we hope to analyze more factors and look for ways
to improve the health of our community. So now that we're all pros at ArcGIS Pro,
I'm going to flip it back over to the desktop for Austin.
So to share the rest of our work with the other four acres, we create a web app where you can
truly find out how healthy your county is. Thank you to National 4-H GIS
leadership team and to our geo mentors for all of your hard work and dedication.
Also, a special thank you to Esri for making ArcGIS online and Pro available
to all schools and clubs around the world.
And thanks to you all, for sharing this with the clubs and schools in your
community and truly making a difference in our world. Thank you.
Dawn do you have any questions for these people? I'm just so inspired by these
young people and I wish they were in my introductory GIS class when I was at
Oregon State. Anyway they're just wonderful.
So why are the red areas red?
That's what we're looking into! Yeah? More research!
Is it the food, or is it the distance to the Mississippi River?
We think it's our southern cooking!
Thats good. What other thoughts do you have Dawn?
It sounds as though you had a lot of fun with the Web app, making the Web app. Any plans for
continuing that? Well we hope to add more factors from the countyhealthrankings.org
website into this, and where people can you know, find more details about
their county just to raise awareness of how healthy the county is.
Well Dawn, what's going on in my brain is that picture that you had of that spatial, sparks going off,
and learning early what spatial thinking does. The power of The
Science of Where inside your brain, and I really think a lot of you guys.
You're just great. Ladies and gentlemen let's thank them one more time!
Thank you!
Yeah, well we want to invite two other people that are special out to the stage
for just a moment. Charlie Fitzpatrick, and a young woman
called Roxanne. Guys come out!
Now some of you know that Charlie Fitzpatrick was really the foundation, the founder of
this whole schools program around the U.S and now spreading all over the
world. He has thousands of schools, hundreds of thousands of kids, sort of in
his realm now. Isn't that amazing? He's pioneered this stuff forever.
And it's the realm of those guys too, it's the realm of those folks out there. Yeah.
But there's really, I think the most exciting thing is seeing what happens when
students get to see GIS in school and in clubs. What happens to them later?
And there's no better example, than Roxanne. Roxanne was on this stage, lets
see where were you? I think you were all right over there, four years
ago. She's from Roosevelt High School, anybody here? There they are!
She did exactly the same things that these students did. I'm not going to talk
anymore Roxanne, you talk. Yes, Jack mentioned I was here four years ago in
that podium, so now I'm a senior now in college. On my last year where I'm double
majoring in environmental science and urban studies and that's what I'm
currently doing now. I still do GIS, so right now I'm an intern at the Natural
Capital Project at the University of Minnesota, so I'm basically following
in your footsteps, Jack.
Did you hear that Tom Fisher? She's going to the University of Minnesota, Urban
Design and Environmental Science. This is great Roxanne.
Roxanne and I went to the White House together, we met President Obama.
Yeah, I got to meet President Barack Obama which is awesome. Yeah I don't know what to say,
she's a marvelous star but she's, I would just say a product of spatial learning
moving through her whole career, and affecting her thinking.
So, it's that I have high expectations for you kids.
Whatever - thank you guys. Thank you very much. Thank you all for coming out.
Thank you Charlie. Thanks Dawn.
Thanks Jack.