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Unlocking Hidden Opportunities: The Power of Multi-Solution Spatial Aggregation
TS-067434 — The Need Spatial aggregation is crucial in numerous industries where data from low-level spatial units, such as census blocks, must be grouped into larger, meaningful regions. Traditional approaches often struggle with the computational complexity of these tasks and tend to focus on finding a singl…
  • College: College of Arts & Sciences
  • Inventors: Xiao, Ningchuan
  • Licensing Officer: Dahlman, Jason "Jay"

Semi-automatic extraction of georeferenced building data from historic Sanborn Fire Atlas maps
TS-064831 — The Need: Urban historians, city planners, and preservationists require efficient tools to extract building-level information from historic Sanborn Fire Insurance maps, essential for understanding urban development over time. However, manual extraction is time-consuming and impractical due to the sh…
  • College: College of Arts & Sciences
  • Inventors: Miller, Harvey; Li, Jialin; Lin, Yue; Logan, Gerika; Porr, Adam; Xiao, Ningchuan
  • Licensing Officer: Dahlman, Jason "Jay"

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