The Geoinformation and Big Data Research (GIBD) Laboratory at Penn State, in collaboration with several research groups from different institutions, is organizing a series of sessions at the AAG 2026 Annual Meeting in San Francisco. These sessions span a wide range of...
Since the first release of our open-source GIS Copilot for QGIS last November, we have received significant interest, feedback, and suggestions from the geospatial community. Thank you to everyone who engaged with the earlier post and tested the tool...
Author: M. Naser Lessani Regression analysis is one of the most widely used and well-established methods for examining the effect of one variable on another. Broadly, regression models can be categorized into two types: global and local models. The key difference...
Huan Ning, Zhenlong Li | April 13, 2025 In a recent vision paper, GIScience in the Era of Artificial Intelligence: A Research Agenda Towards Autonomous GIS, we proposed three scales of autonomous GIS agents: local, centralized, and infrastructure. Some GIS agents have...
If you are attending AAG this year, we cordially invite you to join our 13 in-person sessions focused on geospatial big data, spatial computing, autonomous GIS, human mobility, disaster management, and public health! GeoAI and Deep Learning Symposium: Generative AI in...
