Lichens are poikilohydric organisms whose biochemistry is strongly shaped by environmental conditions, yet their metabolome-wide adaptations across habitats remain unexplored. Here, we established a ...

Nick’s Signal Spot is a new feature in which Nick Langan explores RF signals, propagation, new equipment and related endeavors. At Villanova University, I teach an undergraduate Computer Science ...

Microsoft’s research arm has long been fascinated with working with large amounts of data at scale. Projects like TerraServer explored how to search and display geospatial data, mixing mapping and ...

There is a plethora of Python packages for geospatial analysis, such as geopandas for vector data analysis and xarray for raster data analysis. As listed at pyviz.org, there are also many options for ...

This project implements a production-ready vessel ETA prediction system using machine learning, designed to run efficiently on edge devices (laptops, embedded systems). The system processes AIS ...

In this post, I will walk you through building a dashboard with a map step by step, using Dash-Plotly and Dash-Leaflet. Whether you are a beginner/intermediate data scientist or transitioning GIS ...

DeepSeek R1, the latest large language model to be creating a stir with its outstanding open source performance, is reshaping how you can approach complex tasks such as mapping and data visualization.

In today’s data-driven world, electric meter readings go beyond tracking consumption—they tell a story. From identifying usage patterns to uncovering inefficiencies, analyzing electric meter data can ...

The everyday extreme uncertainties become the new normal for our world. Critical infrastructures like electrical power grid and transportation systems are in dire need of adaptability to dynamic ...