Navigating geospatial industry trends & drive-time catchment areas
Welcome to Spatial Perspectives! Your monthly bite-sized newsletter for all things Spatial Data Science.
Geospatial Industry Trends
The surge in location-based data and the widespread adoption of cloud-native technologies have significantly transformed the geospatial industry; with a focus on data-centric decision-making and modern skill sets. Developers pursue scalable cloud-based tools and vast geospatial datasets, while a wider user base conducts advanced analysis, incorporating technologies like Large Language Models for seamless data integration.
This evolving industry creates new opportunities for growth and innovation. Privacy laws impact mobility data accuracy, prompting organizations to explore alternative spatial data for monetization. As well as this, climate risks and global economic changes drive sectors like agriculture, insurance, telco, and ESG to enhance geospatial capabilities for competitiveness.
If you're interested in exploring shifts in data, practices, tools, and technology, check out our Geospatial Industry Trends report in collaboration with Snowflake . Co-authored by Eda Johnson , Principal Data Cloud Architect at Snowflake , and Matt Forrest , Field CTO at CARTO , this report provides valuable insights to navigate the evolving landscape and serves as a guide on the latest data strategies and geospatial tools for you to stay ahead in the industry.
Download the FREE Geospatial Industry Trends report!
Careers in spatial: Back to basics
Every edition we ask one of our Spatial Data Science Experts for their top tip on carving out your career as a Spatial Data Scientist. This month, Giulia Carella , Senior Data Scientist at CARTO , shares some advice for those aspiring for a career in Data Science.
“While it's easy to be swept by new methods and tools, a deep understanding of the mathematical fundamentals (probability theory and linear algebra especially!) goes a long way for laying a solid foundation and advancing your expertise in data science.”
Want some more tips and tricks from Giulia? Take a look at her latest blogpost on how to create a spatial priority score to improve network access!
Map of the month: Analyzing multiple drive-time catchment areas
Drive-time catchment areas are crucial for assessing the extent of service coverage and infrastructure reach within a location.
领英推荐
This map defines catchment regions, visually representing boundaries and allowing stakeholders to determine the scope of service areas. It also exhibits dynamic drive-time parameters, empowering users to customize the drive-time value. This customization results in a tailored analysis that aligns with specific operational requirements or investigative scenarios. Consequently, users can benefit from tailored analysis, operational efficiency, scenario planning, and strategic decision support.
Explore the full map here and visit our CARTO Academy for an in-depth tutorial on dynamically analyzing multiple drive-time catchment areas.
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Coffee break content
Order up! Here are some of the latest #Geospatial reads to jump-start your day:
On the road!
Looking to expand your skills and meet more #Geospatial professionals? Here are some great upcoming events you can find our team & wider community at:
The countdown to the Spatial Data Science Conference 2024 London has begun! Join geospatial experts from across the globe on May 16th (with technical workshops on the 15th) to discuss the latest spatial trends and innovative use cases across multiple industries.
Act fast - early bird tickets are only available until March 28th!
Over to you!
Do you have an epic data visualization you'd like to feature in our newsletter? Or a fantastic career tip for aspiring Spatial Data Scientists? Drop us a DM or submit an entry to appear in a future edition of Spatial Perspectives!
Geospatial Data Science Director @ JPMC | Author, Applied Geospatial Data Science with Python | Patented Inventor
9 个月Thanks?CARTO?for calling out my book Applied Geospatial Data Science with Python in this months?#SpatialPerspectives?newsletter. Anyone looking to purchase a copy can find it on Amazon or on Packt's website. https://www.amazon.com/Applied-Geospatial-Data-Science-Python-ebook/dp/B0BJ7GPXMG