Remember When?
A “Harlow Report” From April 3, 2023
Digital Twins Help Infrastructure Become Smarter
A digital twin for major infrastructure is only as good as the data that informs it
Jamaica station in Queens is one of New York City’s most vital transit hubs, a stop for most Long Island Railroad routes with connections to several subway lines and the AirTrain to John F. Kennedy International Airport. …
Architects and engineers have always taken a long view when designing critical infrastructure, such as Jamaica station, mindful that their creations will need to remain robust well into the future.
Read full story at ENR…
Now back to 2024
Swift Navigation and Telit Cinterion Partner to Enable Precise Positioning in Ultra-Low Power Applications
The integration of Swift’s Skylark Precise Positioning Service and Telit Cinterion’s GNSS modules will unlock location-based mobile apps that improve safety and efficiency for workers and consumers around the world.
With the introduction of their joint solution, Telit Cinterion and Swift are tackling this challenge head on. Together with Telit Cinterion’s suite of best-in-class GNSS receivers, Swift’s Skylark® Precise Positioning Service offers uniform precision across entire countries while minimizing power consumption, processing loads, and data transmissions, all at an unbeatable price-to-performance ratio. In even the most challenging environments, such as dense urban areas and canyons, the joint solution dramatically improves location accuracy within seconds.
Read full story at Swift Navigation…
Why Is GIS Such an Important Part of the Asset Lifecycle?
Integrating spatial data into asset management systems helps organizations to gain better insights into the geographic context of their assets.
GIS (Geographic Information System) plays a crucial role in asset lifecycle management for a variety of reasons. GIS allows organizations to manage the spatial data associated with assets. Integrating spatial data into asset management systems helps organizations to gain better insights into the geographic context of their assets. GIS also enables real-time tracking and monitoring of assets across their lifecycle. This includes visualizing asset locations, status, and performance metrics. This supports more efficient asset management, maintenance scheduling, and resource allocation.
For all of these reasons and many more, one of the most important aspects of GIS supporting the Asset Lifecycle is simply better decision making.
Read full story at infotech…
Bentley Systems Announces CEO Transition Plan
COO Nicholas Cumins To Be Promoted To CEO July 1, 2024, As Greg Bentley Will Transition To Executive Chair
Bentley Systems, Incorporated … announced that effective July 1, 2024, Greg Bentley will transition from Bentley Systems’ CEO to Executive Chair of its Board of Directors. Nicholas Cumins, currently COO, will then be promoted to CEO, and be proposed to join the Board of Directors.
Nicholas Cumins, CEO Designate has served as Bentley Systems’ COO since January 2022. He joined Bentley Systems as Chief Product Officer in September 2020 prior to the company’s IPO.
Read full story at Bentley…
Intelligent Optimization of Highway Alignments: A Novel Approach Integrating Geographic Information System and Genetic Algorithms
by Botan M. Ahmad AL-Hadad, Wrya H. Nadir.
Glpa Ali M. Jukil
A problem oriented GIS model was integrated with a Genetic Algorithm Model into a single one to address the development of an optimum highway alignment solution in real time.
This paper presents a novel and intelligent approach for highway alignment optimization, focusing on the development of the alignment using station points within a reduced domain. The approach involves utilizing a pre-generated Least Cost Path from a Geographic Information System (GIS) model, serving two purposes: first, determining the reduced search domain, and second, using it as input for genetic algorithms (GAs) until a near-optimal alignment is achieved. This approach simplifies the design process, reduces costs, and yields alignments that better harmonize with various relevant factors.
Read full story at ScienceDirect…
Python or R for Spatial Data: Navigating the Best Fit
In this article, we'll explore the strengths and weaknesses of Python and R for spatial data analysis to help you make an informed decision.
Spatial data analysis has become increasingly important in various fields, including urban planning, environmental science, agriculture, and epidemiology. With the rise of geographic information systems (GIS) and spatial analytics, professionals often find themselves choosing between two popular programming languages for spatial data analysis: Python and R. Both Python and R offer powerful tools and libraries for working with spatial data, but which one is the best fit for your needs?
Read full story at Analytics Insight…
