In the Summer of 2014, I began working with George Mcleod, the Lead GIS Engineer at Old Dominion University, as well as Chad Peevy, the Grounds Manager at Old Dominion University in Norfolk, Virginia. It was a wonderful experience in which I learned the importance and growing demand of geospatial services on the web. The following is a link to download a File Geodatabase, as well as an MXD file, that were both created to represent vital components of Old Dominion University’s irrigation system. Both items were used to build a web application that displayed these components cartographically. The MXD file contains empty feature classes, but contains the structure, order, and symbology of feature classes that were ultimately published as feature services into a web application that was made using ArcGIS Viewer for Flex, which I subsequently entered all data into. The File Geodatabase also contains the domains and subtypes that I created for the purposes of attribute editing when editing data inside of the application. I collected the locations of all components myself in coordination with Mr. Peevy, using pen and paper, and edited the web application to show the locations of different components of the irrigation system. Ultimately, with the help of Senior GIS Technician Christopher Contreras, I was able to deliver a product that is used to monitor and maintain the campus irrigation system at Old Dominion University.
The above maps were produced as part of a project that I did last year, in which I analyzed the location of UNHCR-registered Syrian refugee camps in Turkey, Jordan, and Iraq. The goal of my study was to assess the quality of these camps based on their location to vital resources such as roads and water. Finally, I performed a suitability analysis that found suitable areas for future camps in both Turkey and Jordan, countries that I at the time felt had the both the political stability and infrastructural capability to house more refugees. Below is a link to download a Microsoft Powerpoint slide, on which I constructed a poster of my work, which was presented at the 2014 UMW Geography Symposium.
The above map was created by reclassifying raster data, and using the raster calculator tool in ArcGIS to find suitable areas for tree thinning in Black Hills, North Dakota. The goal of this analysis was to find areas in which trees could be thinned, so as to not harm the snail population that inhabits the black hills of North Dakota.
Above is a map that I created for an analysis that I did last year, in which I looked at the location of Syrian refugee camps in the countries of Iraq, Jordan, and Turkey. I created this map to show the distribution of UNHCR-registered Syrian refugee camps in Iraq, in relation to ethno-religious boundaries that were defined within Iraq in 2003. Although the data that was used to create the map was somewhat out-dated when the map was created, it gave me an idea of the relative ethno-religious makeup of the region, and how the refugee camps were distributed based on these factors. The purple areas, labeled as mixed, are areas without a true majority of one group. These areas could be mixtures of Arab Sunnis and Arab Shiites, Arab Sunnis and Kurds, or Arab Shiites and Kurds.
This precipitation map was constructed using the Inverse Distance Weighted (IDW) interpolation technique within ArcGIS. The “Interpolation to Raster” tool used the locations and data of various climate stations in Wyoming and South Dakota (green triangular polygons), and interpolated data for surrounding areas based on these points.
The above maps of all McDonald’s and Burger King restaurants within the City of Richmond, Henrico County, and Chesterfield County, Virginia, were constructed using geocoding. Geocoding is a method that allows one to create a composite address locator within ArcGIS, which uses a centerline “edges” file (a roads polygon file that contains a set of addresses or an address range) to plot particular locations. An excel spreadsheet with the address of each point to be plotted is inserted into the locator, and candidates for the locations are displayed.