This library is a high-level wrapper around gdal3.js to provide a simple interface for converting geospatial data to and from GeoJSON format. It is notably used in the Magrit Web-application to handle ...

Heavy rainfall is expected to bring widespread impacts to Southern California starting Tuesday night, with the potential for ...

Don't lead your cousins astray over the holidays by taking them to an overhyped, overpriced and overcrowded pop-up bar. We ...

The Bay Area is the runaway leader in artificial intelligence. But data centers, the physical architecture needed for AI computing, are a different story - and energy shortfalls are a key reason.

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

Abstract: This study focuses on optimizing GeoJSON data processing techniques in the Python environment to improve the performance of the On-board Computer Unit system (OBC) function used in precision ...

Most of what we understand about eviction trends in a given city or county comes from local court records. Often the best way to access these records is through a data request. This resource includes ...

In today’s data-driven world, data entry skills are more valuable than ever. Most data entry roles require a high school diploma or GED, making them accessible to a wide range of job seekers. Whether ...