Addressing Students in Population Distribution Modeling

Authors: Matthew Whitehead*, Oak Ridge National Laboratory, Eric Weber, Oak Ridge National Laboratory, Kelly Sims, Oak Ridge National Laboratory
Topics: Population Geography, Geographic Information Science and Systems, Land Use
Keywords: population modeling, students, GIS
Session Type: Paper
Day: 4/14/2018
Start / End Time: 2:00 PM / 3:40 PM
Room: Balcony M, Marriott, River Tower Elevators, 4th Floor
Presentation File: No File Uploaded


In order to create an accurate population distribution model, one must consider both obligated and unobligated populations. Obligated populations include those people ‘bound’ to specific locations; those in prisons, nursing homes, daycares, schools, etc.. Oak Ridge National Laboratory creates and maintains several spatial datasets to enhance the LandScan USA population model and support the emergency response and recovery community. Included in those datasets are point features for public and private K-12, colleges, and universities. For college and universities, polygon features of campus boundaries are also maintained. This presentation will focus on how student populations are addressed in the LandScan USA population model using these datasets along with other ancillary datasets including land use and parcel data. There will be a brief overview of distributing populations to both private and public K-12 schools. A more detailed methodology will be explained for distributing populations based on the colleges and universities datasets. This will included addressing the challenges associated with intersecting campuses and shared classroom space of colleges and universities. There will also be an overview of how student populations fit in the bigger picture of the LandScan USA population distribution model. Lastly, there will be a brief discussion of the future work that is ongoing to better represent student populations in LandScan USA.

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