R has become a popular and powerful platform for working with geospatial data due to its well-developed ecosystem of packages to import, process, analyze and visualize spatial data, strong integration ...

This repository contains R tools and workflows for spatial analysis of cell-types using single-cell spatial transcriptomic Xenium data. To know more about Xenium technology, check out the Xenium ...

Abstract: Two-dimensional spatial light modulators (SLMs) modulate one of the properties of an optical wavefront (amplitude, phase, polarization) as a function of two spatial dimensions and time in ...

When Tim Cook used Apple's Vision Pro headset for the first time, he described it as an "aha moment"—a feeling I also experienced when I first used the device. If we are lucky, we get a few of those ...

Spatial autocorrelation is an important concept in a spatial analyst’s toolbox. It refers to the degree to which spatial events are correlated across an area (O'Sullivan & Unwin, 2014). In basic terms ...

This document contains a tutorial and training exercise for getting started using the VIC model across a spatial domain and making use of the ITaP Research Computing cluster system resources. It ...

Today’s release of iOS 18.1 beta 4 makes the iPhone 15 Pro and iPhone 15 Pro Max camera even better, with support for capturing spatial photos. Apple announced spatial photo capture for the iPhone 16 ...

I started with CNET reviewing laptops in 2009. Now I explore wearable tech, VR/AR, tablets, gaming and future/emerging trends in our changing world. Other obsessions include magic, immersive theater, ...

Forbes contributors publish independent expert analyses and insights. I write about psychology and education research and policy. Joni Lakin: Sometimes it's okay to recognize talent based on intuition ...