The authors find that contemporary GIS research increasingly integrates spatial statistics, modeling, and simulation to move ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to ...

Forbes contributors publish independent expert analyses and insights. Cindy Elliott is director of business industry at Esri. FEDEX IS ONE OF THOSE COMPANIES that epitomizes the modern idea of ...

Location data is critical to nearly all state and local government work — whether it’s responding to a public safety call, supporting community planning and development, or maintaining critical ...

Faculty in the Statistical Learning and Data Science Hub advance statistical and machine learning methods tailored to the unique challenges of biomedical and epidemiologic data, including ...

Jeongwon is a Ph.D. student in the Department of Geography at the University at Buffalo. She has a background in GIS engineering, specializing in working with spatial big data and spatial data ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...