As cyber operations continue to support regional conflicts, threat groups are targeting a wider range of information, including geospatial mapping and global positioning systems (GPS) data that can be ...

Introducing a new book to be published in late April 2026, "First Steps in Geospatial Data Science with Python". We are releasing a portion of the book ahead of its publication. The desire to "just ...

Welcome to the official repository for Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools. This repository contains all the code examples featured in the book, ...

Deep learning model inferencing in ArcGIS is implemented on top of the Python raster function framework. This repository serves to provide guidance on deep learning Python raster functions in ArcGIS, ...

Across mapping, engineering, disaster response, and natural resource work, geospatial thinking underpins the tools we use every day. If your career now calls for sharper GIS skills—or you want a fast, ...

Post Occupancy Evaluations (POE) provided a systematic methodology for determining the performance gap between expected and actual performance. Monitoring quality of the indoor environment is ...

Climate change and global warming results in natural hazards, including flash floods. Flash floods can create blue spots; areas where transport networks (roads, tunnels, bridges, passageways) and ...

Wind hazards often result in significant damage to the built environment cascading into impacts on the socio-economic systems within a community. The increasing frequency and intensity of hurricane ...