Showing 126 results for Author: Budhu L. Bhaduri
Mar, 2026
Conference Paper
While climate models have evolved over time to produce high fidelity and high resolution climate forecasts, visualization and analysis of the output of the model simulations has been limited, typically constrained to single dimensional charts for visualization and basic aggregate statistics for analytics. Same is true for the large troves of observational data available fr…
Jan, 2026
Journal
Gridded population datasets represent high-resolution distributions of human occupancy, enabling informed decision-making across a broad range of fields. These data products are valuable for assessing environmental risk, urban development, disaster preparedness and resource allocation—areas where accurate population estimates directly enhance policy effectiveness and optim…
Dec, 2025
Journal
Unwarned population distributions accounting for routine human activities are needed to address many global human security challenges, including disasters, conflict, and infrastructure demand. LandScan High Definition (LSHD) supports this need through gridded ambient population estimates that measure average human presence between daytime and nighttime at a high spatial re…
Sep, 2025
Journal
The advent of generative AI exemplified by large language models (LLMs) opens new ways to represent and compute geographic information and transcends the process of geographic knowledge production, driving geographic information systems (GIS) towards autonomous GIS. Leveraging LLMs as the decision core, autonomous GIS can independently generate and execute geoprocessing wo…
Mar, 2024
Journal
In this Data Descriptor, we present county-level electricity outage estimates at 15-minute intervals from 2014 to 2022. By 2022 92% of customers in the 50 US States, Washington DC, and Puerto Rico are represented. These data have been produced by the Environment for Analysis of Geo-Located Energy Information (EAGLE-ITM), a geographic information system and data visualizati…
Jan, 2024
Journal
The Annual Meeting of the American Association of Geographers (AAG) in 2023 marked a five-year milestone since the first Geospatial Artificial Intelligence (GeoAI) Symposium was held at AAG in 2018. In the past five years, progress has been made while open questions remain. In this context, we organized an AAG panel and invited five panellists to discuss the advances and l…
Dec, 2023
Journal
In the opening months of the pandemic, the need for situational awareness was urgent. Forecasting models such as the Susceptible-Infectious-Recovered (SIR) model were hampered by limited testing data and key information on mobility, contact tracing, and local policy variations would not be consistently available for months. New case counts from sources like John Hopkins Un…
Nov, 2023
ORNL Report
Thermoelectric power plants, fueled mostly by coal, natural gas, and nuclear energy, account for ~89% of generating capacity in the United States (EIA, 2015a). However, insufficient water availability and water quality due to extreme weather events (droughts, heat waves), combined with peak electricity demands during summer months and competing water management objectives,…
Nov, 2023
Journal
Estimation of the built-up areas is fundamental to studying urbanization and the concomitant impacts on our rapidly changing planet. Local-scale mapping of the built-up areas elucidates spatially distinct patterns of urban densification as well as peri-urban growth, where the most socially vulnerable population traditionally resides, and helps to ensure sustainable and equ…
Nov, 2023
Journal
For many researchers, government agencies, and emergency responders, access to the geospatial data of US electric power infrastructure is invaluable for analysis, planning, and disaster recovery. Historically, however, access to high quality geospatial energy data has been limited to few agencies because of commercial licenses restrictions, and those resources which are wi…