Insu Hong

West Virginia University, Arizona State University

Papers

Total Citations

H-Index

About

Insu Hong is a geospatial scientist whose research lies at the intersection of GIS, spatial optimization, and human mobility. His work fundamentally addresses how to navigate and plan routes through complex, obstacle-filled environments—a challenge with profound implications for infrastructure alignment, autonomous robotics, and accessibility for the visually impaired. Hong’s most influential contribution is his 2015 paper, “Assessing Raster GIS Approximation for Euclidean Shortest Path Routing,” which has garnered 17 citations. This work critically evaluates the accuracy of raster-based GIS methods for calculating true Euclidean shortest paths, a foundational problem in spatial computing. By exposing the limitations of common approximations, Hong provided a rigorous framework for improving pathfinding algorithms in continuous space, directly impacting fields from transportation engineering to virtual environment design. His earlier 2013 study, “Efficient wayfinding in complex environments,” with 6 citations, further established his focus on overcoming real-world navigational barriers. Through his research, Hong bridges the gap between theoretical spatial analysis and practical, life-changing applications, ensuring that movement through our world—whether by a shipping vessel or a person with a guide dog—is as efficient and obstacle-free as possible.