Thursday, December 14, 2017

Project 4 - Open Source - Report Week

This week wraps up our project on Food Deserts and open source software and our final project for this course. 

I really enjoyed learning how to use QGIS, Mapbox and Leaflet. Although, as mighty as I tried, I could not get my Pop-up marker to appear correctly in my webmap. I tried adding in other plug-ins I found through Leaflet, but they would not work either, so I stuck with the pop-up. 

Here are links to my PowerPoint and webmap:



Friday, December 1, 2017

Project 4: Open Source - Analyze Week 2

Just a we did in Week 1 of this project, we created a Food Desert map but, this time, of the area of our choosing. I chose North Port, FL which is the city just south of me in Sarasota County.

My data mainly came from the Sarasota County GIS website where most of their GIS data is available to the public for download. I first downloaded their 2010 census tracts for all of Sarasota County. I then downloaded the City of North Port shapefile from this website as well. I clipped the county layer to the city layer to just include census tracts within the City of North Port. This was done in QGIS.  From there I created a new Grocery Store point shapefile in ArcMap. I started an editing session and created the point features of the locations of the grocery stores over a street map basemap. I believe I was very accurate in locating these stores as there are very few of them and all are on major roadways. I then added the Grocery Store file to QGIS and with the newly clipped North Port layer, I added the polygon centroids using the Vector>Geometry Tools>Polygon Centroids in QGIS. Next, I used Near Tool in ArcMap with the Centroid layer as my Input Feature and the Grocery Stores as my Near feature. I applied a Search Radius of 1 mile. This resulted in a .dbf file that I converted to a .csv file. I then added the .csv file to QGIS and joined it with my Study area layer. The resulting layer showed which areas were Food Deserts (NEAR_DIST field = -1) and Non-Food Deserts (NEAR_DIST field =/> 1) of the City of North Port.

The data shows that most of the population of North Port lives in a Food Desert. This data does not surprise me at all. North Port is the 8th largest city in the State of Florida in land area but has a much smaller population than the big cities of Jacksonville, Tampa, and Orlando. It has, historically, been a residential community with little industry and retail options (only one grocery store for many years). Within the last few years, North Port’s population has been increasing due to its abundance of affordable housing compared to the rest of Sarasota County. Retail and grocery stores have increased in the “hub” areas of North Port along its main roads of Tamiami Trail, Sumter Road, and Salford Road but not in the outlying areas. I do think we will see more and more added as the population continues to grow.

As with last week, we created Tilesets in MapBox. To create a Tileset, select New Tileset under the Tileset option on the Home page then upload your zipped layer file. Once the layer file has been uploaded and processed, you can add and edit the Tileset to any map you want to create in MapBox or you can use the "Develop with this Style" URL for this tileset to add to a Leaflet code and share as a web map.

Here is my web map of North Port Food Deserts.

Wednesday, November 29, 2017

GIS Internship - GIS Portfolio

Please find the link below to view my GIS Portfolio. My portfolio presents a compilation of who I am, my goals and experiences, examples of my work and how to contact me. Also included are my resume, a list of my skills and awards received. I created a digital portfolio using 

My GIS Portfolio

Sunday, November 26, 2017

Project 4: Open Sourced - Analyze Week 1

This part of our final project had us exploring MapBox and Leaflet to create and share a modified version of our Food Desert map in Escambia County. We modified code from Leaflet and saved in our I:Drive to share as an open source webmap.

Click here for a link to my webmap.

Thursday, November 16, 2017

Project 4: Open Sourced - Prepare Week

This week begins our final project, using open sourced mapping applications to examine the Food Desert situations in Escambia County and an area of our choosing.

For Prepare Week, we began working in the open source software, QGIS. In QGIS we were to first create a map similar to our "Own Your Map" project, showing Escambia County, the location of UWF, major roads and rivers and an inset showing the study area.  It took some getting used to in this mapping software but once I got started it became easier to navigate. We needed to use the Clipping Tool in QGIS to clip the roads and rivers to the Escambia County boundary. This process seemed easier than clipping in ArcMap. Adding multiple data frames and composing the map were did not seem as user-friendly to me as ArcMap. Here is my final map for Part A:

The second map we needed to create took a bit more work. This part had us creating  food desert and non-food deserts (food oasis) maps in Escambia County. First we clipped the census tracts layer to the county boundary. Then we defined our study area by selecting the census tracts we wanted to include and then exporting the selection. We then added centroids the census tracts polygons using the Geometry Tools in QGIS. The Grocery Store layer was now added and examined to see the locations in respect to the centroids. We then added the Near.csv file and joined it with our StudyArea layer.  From here we were able to calculate which areas were Food Deserts (Near_DIST = -1) and which were Non-Food Deserts (Near_DIST > -1). It was determined that 60% of the population live in Food Desert areas.

Wednesday, November 15, 2017


For GIS Day, I participated in two events. 

In the morning, I gave a presentation for my son's 4th/5th grade combined class on GIS. We discussed what GIS stands for and what it involves. We then explored a GIS activity provided on the ESRI website all about National Parks. In this activity we explored map layers, how information is presented in the map and defined in the map legend, and the information provided in the attributes tables. The kids had fun with this activity, all happy to share the National Parks they have visited and find on the map to show others.

In the afternoon, I attended a GIS Day event held by the City of North Port with presentations by Sarasota County Planning Department, Sarasota County GIS Department, Sarasota County Property Appraiser, City of North Port Planning, City of North Port GIS, City of North Port Public Works and City of North Port Parks and Recreation. This was an open house event held at the brand-new Shannon Staub public library. Two of the maps I created for the county as part of my internship were on display.

Friday, November 10, 2017

Module 10: Supervised Image Classification

          For the this week's lab, I took the provided image of Germantown, Maryland and performed supervised classification to classify the land uses into 8 final classes. I used the Grow Properties method to create a signature of the following land types: Urban/Residential, Grasses, Deciduous Forest, Mixed Forest, Fallow Field, Agriculture, Water, and Roads.  The signature was evaluated for spectral confusion and the signature color was set at R-4, G-5, B-3. The image was then classified using Maximum Likelihood Classification. I then merged the classes into the 8 unique final classes. The area for each class was calculated in acres.