Artificial intelligence is rapidly transforming many sectors of the economy, and engineering is not immune. AI applied to the environmental engineering space, especially with geospatial analysis and ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

ABSTRACT: This study conducted a geospatial analysis of food deserts through low-income and low-access census tracts across Southwest Florida (SWFL), focusing on the intersection of food accessibility ...

1 Department of Ecology and Environmental Studies, The Water School, Florida Gulf Coast University, Fort Myers, FL, USA. 2 Department of Cooperative Extension, University of Maine, Orono, ME, USA. 3 ...

Background: Achieving spatial equity in healthcare and older adult care services is critical for ensuring fair and effective service access among aging populations. In rapidly urbanizing cities like ...

Mobile stroke units (MSUs) provide faster stroke treatment with improved outcomes, but are expensive, and their urban and rural deployment differs. Geospatial analysis may be useful for planning ...

geospatial_florence_project/ ├── data/ │ ├── florence_2018_data.py # Data download script │ ├── florence_2018.json # Hurricane Florence track data (raw JSON) │ ├── florence_2018.geojson # Hurricane ...

Abstract: Search Engine Optimization (SEO) is crucial to improve the visibility and search ranking of websites. The most well-known and prominent analysis of SEO auditing includes On-Page, Off-Page, ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...