Featured Student GIS Projects
The following web mapping applications were developed as part of the Special Topics in GIS course in Spring '14.
Northwest Florida Barrier Island Elevation by Peter Tereszkiewicz & Zackary Leady
Northwest Florida Barrier Island Elevation Model & Property Parcel Assessment
The web GIS map was created by modeling a TIN layer from LIDAR data provided by NOAA digital coast for the Northwest Florida Barrier Island including 500 meters off the coastline. This was done by transferring the LIDAR data into a LAS dataset and then converting the LAS into a TIN layer via tools in ArcMap. It is important to note that the LAS dataset was modified to only include ground signals so that buildings and trees would not skew the elevation profile depicted. The parcel data was retrieved from the counties (two different tables joined to acquire owner names, addresses, and Parcel ID) and then clipped to only include the parcels within the TIN layer. All of these layers were then added to the ArcGIS server. The flexviewer was configured with the standard widgets including a modified mapswitcher, legend, and search widget to provide functionality. The search widget can search by Street Address or Parcel ID for each of the three counties. In addition, and elevation profile widget was included to graphically demonstrate the change in elevation profile that the TIN layer visually displays over the ground of the barrier island. Also, popup windows were configured to display owner name, street address, city, and parcel ID. In order to make the map more streamlined for loading times an invisible feature layer is used for the popups and search functionality while a faster loading dynamic layer is visually displayed. The importance of this map is to allow for easy visual and graphical display of the barrier islands elevation profile in relation to parcels. This will allow the user to search for a parcel or parcels and then determine the elevation profile over the selected areas.
Pensacola Parks Tree Guide by Casey Semmons
Pensacola Parks Tree Guide
To create this webmap, I collected the locations of over 2000 individual trees in Pensacola’s waterfront city parks using a GPS, along with their species, diameter at breast height, condition, and applicable notes. The raw data collection itself was my practicum project with the city, and will eventually be used to help allocate a large tree fund, as well as for maintenance purposes, and get an idea of how these trees and individual parks may be contributing to filtering the air and water based on these attributes.
The aim of this webmap is to deliver this data in a way that lends itself to those objectives. The trees are symbolized by species, with the option to switch to layers that symbolize them by DBH or condition as well, making it easy to get a general idea of different aspects of the data at a glance. The data is displayed over an imagery basemap to help visualize where the trees are. Every tree opens a pop-up window that displays its species, condition, DBH and comments. An attribute table widget has been included as well, and when a tree of interest is selected, the attribute table will move to it to display more information, such as a unique FID and coordinates, making singling out trees for maintenance easy. The parks themselves are also symbolized on the map, and clickingthem yields popup charts of their species makeup, as well as information on their acreage, total tree count, and most abundant species. A legend was added to keep the large number of symbols straight, a bookmark tool can quickly move to any of the eight parks, and a coordinate display can work in tandem with the listed coordinates in the attribute table to make locating problem trees or trees of interest easy.
The map would serve primarily for planning and visualization for the city to allocate its tree fund, so while it’s clean and doesn’t contain complicated geoprocessing tools, it also caters to users who have some proficiency in GIS, and will be able to make good use of information like coordinates, and are familiar with reading or importing an attribute table. It has enough information to be useful to a GIS department while being easy enough to understand for planning committees and city officials with no experience in GIS.
Pensacola Tourism Map by Alexia Grier and Deidra Krolikowski
The idea of our map came from researching tourism maps of Pensacola Beach. All of the maps provided on the internet already were slow to load, difficult to navigate, and provided little information. Therefore, our map corrected these issues by providing a map full of attractions, lodging, restaurants and various activities to help tourists find things to do in our area.
The majority of our data was found on the Florida Geographic Data Library (FGDL) website. In addition, original data was created by GPS locating and downloading the data for our personal use. We strategically looked for data near the airport, downtown, and Pensacola Beach; these areas were chosen because they receive the most tourist attention. The attribute tables of the FGDL data were significantly narrowed and edited to accommodate the information we wanted. We GPS located all the picnic areas and life guard stands on the beach. We corrected the data in Pathfinder and ArcMap. We also researched restaurants and shopping centers for the area. We gathered data for both restaurants and shopping centers into an excel file. The excel file was imported into ArcMap and geocoded. We then created our services and published them to ArcGIS Online. The config file was edited to add our layers and widgets.
Our final map includes: attractions, lodging, restaurants, shopping, ecotourism, trails, beach life guard stands, beach picnic areas, parks, Gulf Islands National Seashore, public pools, civic centers, cultural centers, historical sites, historic cemeteries, and an aerial photograph. Each layer has additional information that helps describe what can be found at that location. For example, the restaurant layer includes: the name, address, price, and website for each restaurant. In addition, the beach picnic areas includes: the location of the park (which beach), the shelter (cover or no cover), and if there is a grill or not (yes or no). Pictures were added to the attractions features. We included various widgets that help the functionality of our map. There is a layers, legend, search, bookmark, navigation, coordinate, and splash widget. Lastly, we enhanced the visual aspects of our map by adding a personalized splash and ‘About the Map’ messages, sun icon to the top left corner, and changing the colors of the map and text.
Dinosaur Fossils Around the World by Jeremy Price and Sunny Cyril
Locations of Dinosaur Fossils found around the world
This project illustrates dinosaur fossils found around the world on an interactive map. Once the legend is enabled, the user is allowed to add multiple dinosaurs to the map specifying locations throughout the world. You can then click on the countries highlighted and a widget containing information about the dinosaur will appear. This information includes the period in which the dinosaur lived, species name, diet, height, length, weight, fossil location, state name, a link to a video of what the dinosaur looked like, as well as 3 pictures. The pictures include what the dinosaur looks like, a chart to the dinosaur’s relative height to humans, and a picture of the fossil of the dinosaur.
Alcohol for All! by Daniel Carroll, Amy Thurson, Sarah Coven and Garett Griffin
Alcohol for All!
As the independently-made alcohol industry grows larger every year, throwing new microbreweries, wineries, and distilleries on the map, people are becoming more interested in touring these places and discovering the alcohol treasures. With this being such a scorching topic among new to experienced alcoholics alike, we decided to fulfill everyone’s desires and create an easy to use, interactive map to help guide you with your drinking pleasures around these United States. So sit back, relax and plan your next pub crawl with our Alcohol for All web map.
As you plan to wet your whistle on your intoxicating trip, there are many features in this map that can help you figure it all out. The features of our map include location density layers, bookmarks to tag your favorite spots, as well as an informational tab that pops up on command when clicking a certain location of your choice. Each symbol on the map is an icon to help you differentiate what kind of alcohol your heart desires. To help you get started, we included a few regions to the bookmarks that are very popular in the US. We hope you find our map helpful in all of your drinking endeavors! Even though this is a highly fun activity, we please ask that everyone drink responsibly on all of their adventures that they find while using this map. CHEERS!
Fishing Related Information by Jake Gallman
Fishing Related Information Map
For my final project, I wanted to create a map that would be useful to other people. That’s why I chose fishing related information for Escambia and Santa Rosa counties. Being a boater and fisherman myself, I know that almost all boaters and fisherman are familiar with having to read maps, if not then they should be. For this reason I kept the map right on point. I displayed all of the information about the infrastructure for fishing in the Pensacola area, along with other additional, helpful information. One further feature is the ability of fisherman to interact with this map through the AddAFish layer. This layer allows other fisherman to provide information as to the location, species, etc. of fish that they have caught. The point is only created if they provide all of the needed information and previous points cannot be deleted.
This map was built mainly through the use of ESRI’s Application Builder. As we had not previously worked with this program, I thought it would benefit myself if I worked with it while I was able to obtain assistance through my professor. All of the layers were created in an Excel .csv file, then, using the “create a feature class” tool in arc catalog, were transformed into shapefiles. They were all created using WGS 1984 and were uploaded to the arcgis online server. They were then added to Application builder and were worked with to create the map provided. Some work was needed in the config text file itself, mainly the title and placement of widgets on the screen. The information for the layers was found online through Google, Yelp, PensacolaFishingForum, and fishingdestinguide.com. All information was either public or I asked and received permission for the use of the data.
Isla Nublar: The Island of Jurassic Park by Jeremy Mullins
Description of Isla Nublar: The Island of Jurassic Park
Provided here is the map of Isla Nublar, the island of Jurassic Park. With the closest landmass being Cocos Island, approximately 65 miles away, Isla Nublar is surely remote, making it a perfect place to grow and maintain the dinosaurs located here. Philanthropist John Hammond acquired the land from the Costa Rican government around the late 1980s and immediately began work on construction of the paleontological zoo he had always dreamed of creating, amassing great scientific minds and building labs with the most up-to-date computer hardware and software in order to help his idea take shape.
This map illustrates the basics of the island. Here, most points and lines on this map can be clicked on for dinosaur names, URLs, and building types, among other features. Choosing the “More…” button in the top right hand corner will allow you to choose a couple of features, such as Paddocks, where each paddock is selectable and more info about maintenance schedules. At the top is a measuring tool as well as a link to the upcoming film “Jurassic World”. Have fun and explore John Hammond’s Jurassic Park.
UWF waste disposal by Garrett Kral
UWF waste disposal
This project documents the University of West Florida’s current pattern of trash disposal. Detailing several forms of alternative waste and energy techniques used on campus.Viewing the project through ArcMap one can identify the campuses strengths and weaknesses by accessing two main tools. Thiessen polygon, which creates polygons from point input features. Each polygon contains only a single point input feature and can be turned on for the trashbins, recycleb and alternate layers, respectively. The second tool crucial to highlighting the usage pattern on campus is kernel point density. This tool calculates a magnitude per unit area from point features that falls within a neighborhood around each cell.
The data collection for this study is extremely thorough. The only points not collected for trash and recycle bins are on the athletic fields which were closed to public access. I hope this study can be used in the campuses master plan to detail future mitigation techniques with on campus waste disposal.