Sebastian Nash

An Introduction to:

Geographic Information Science

Project Portfolio

Over the course of the Autumn semester 2018. Various unguided assignments challenged me to develop visually stimulating representations. Using data either provided or gathered from credible sources. I’ve developed a multitude of skills. Which I demonstrate through the labs featured bellow.

  • "LOD" 3D schematic feature map

    featuring the greater campus area at The Ohio State University

    Level of Detail 3D Map

    • Using publicly available LiDar data. I create a virtual-to-scale environment inside ArcGIS desktop. This practice is commonly referred as “Level of Detail” (LOD). LOD maps allow the observer to easily recognize real world environments. The model is displayed over a satellite image provided by ESRI is shown as the base layer. Bringing depth to bodies of water and road paths. Roads, pedestrians walk-ways, land/turn markings, and other various real world markings are colored by United States standard(data provided by OSU). Combining numerical, and spatial data. To make the model as accurate as possible. Trees, and other small vegetation are displayed unique to their genus.

      This video showcases the final results.
  • Temporal models

    Drought conditions in the United States between 2010 - 2018 &

    United States Growth Over a Period of 100+ Years

    Animated Temporal Model

    • The technique of combining static numerical data with “moving” images. Allows the viewer to see large temporal changes in a small period of time.  

      The data I used to create this animation was provided by National Oceanic and Atmospheric Administration (NOAA). This data represents the severity of drought conditions in the United States between 2010 - 2018.

    To convert to the numerical data into visual representations. I use ArcMap to generate the image for that specific year. Proceeded by exporting the result(s). Then finally use an open-source tool to combine the images into one.

  • Temporal models Continued

    Tracking Hurricane Helene

    visualizations of temporal data

    • Hurricane Helene, and the path from birth to death.

      Helene starts out as a small tropical depression in the southern Atlantic Ocean north east of South America. Helene is featured by circles that outline the path of the hurricane. Hurricanes tracts and representing various data throughout the life span. Allows for detailed analysis. Giving researching better understanding of the developmental processes of weather phenomenon.

    I believe that it’s important to gather more raster type or LiDAR based data of hurricanes. Having this type of information would give scientist and researchers the ability to create hurricanes in an 3D environment. Leading to even more insight of the life cycle of Hurricanes, and other hazardous weather.

    Using Hurricanes tracts and representing various data throughout the life span. Allows for detailed analysis. Giving researching better understanding of the developmental processes of weather phenomenon. I believe that it’s important to gather more raster type or LiDAR based data of hurricanes. Having this type of information would give scientist and researchers the ability to create hurricanes in an 3D environment. Leading to even more insight of the life cycle of Hurricanes, and other hazardous weather.

  • Spending Per Zip Code for Columbus Ohio

    With National Crime Rating

    Spatial Analysis

    • Simple data sets such as building height. Pave the way for spatial analysts. To present this data how we would visualize it in the real world.

  • Prisim Maps

    Creating 3D Views with QGIS2ThreeJS.

    Spatial Analysis Continued

    • The ability to view large-scale areas. Across a large temporal timeframe. Is the key to effectively and efficiently solve almost any problem regarding space and time.

Featured Project

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Animated Data
Animated Data