Geospatial AI use cases, sharpening spatial skills & participatory mapping
Spatial Index of Footfall Data

Geospatial AI use cases, sharpening spatial skills & participatory mapping

Welcome to Spatial Perspectives! Your monthly bite-sized newsletter for all things Spatial Data Science.

AI for Geospatial

Three main use cases of AI: Co-pilots (Data cleaning, discovery, query, assisting), AI is the new UI (Ask what you want and let the system do), Optimized models with data catalogs to easily find data
Three main use cases of AI, predictions by Javier de la Torre

Everyone is talking about AI. The geospatial world is no different - but what role will AI play in spatial analytics?

In his recent keynote at the #Spatial Data Science Conference, Javier de la Torre predicts three main use cases of AI:

  1. Co-pilots: the adoption of “co-piloting” AI in products, which will assist with data cleaning, discovery processes, and query assistance, aiming to enhance productivity and performance.
  2. AI as the new UI: Could prompts or conversations replace traditional dashboards? AI can serve as the new user interface, creating a more interactive and engaging experience for users.
  3. Model & data catalog optimization: AI could be embedded in data models to enhance their understanding of valuable spatial data, as well as enhance search-ability in data catalogs.

Want to learn more? Watch the keynote here.?

????? Queering the map

It’s Pride month! We’re excited to mark it by sharing “Queering the Map” for this month’s map of the month.?

A pink base map of Quebec, Canada with a pinned location and a speech bubble "I'm no longer alone."
Queering the Map

Queering the Map allows individuals to share their personal stories and experiences related to queerness and LGBTQ+ identities on a map. Each marker represents a unique story, ranging from personal reflections, memories, or moments.

This is an amazing example of the power of participatory mapping. By tying experiences to places, Queering the Map fosters a sense of connection and solidarity among individuals.

Explore and contribute here!

Careers in Spatial: advice from the experts

Every edition we ask one of our experts for their top tip on carving out your career as a Spatial Data Scientist. Argyrios Kyrgiazos , Data Scientist, shares some advice for those starting out in Data Science.

Argyrios Kyrgiazos, a Data Scientist
Argyrios Kyrgiazos, Data Scientist
“Spatial Data Science is a vast and rapidly evolving field, so maintaining a curious and adaptable mindset is key to your success. It is a multidisciplinary field with numerous applications that is emphasized in the exploration of spatial patterns. Stay curious, explore new techniques, and challenge yourself with diverse projects and keep experimenting. Sharpen your skills by taking online courses, attending workshops, or pursuing advanced degrees in fields like geography, remote sensing, or data science.”

If you’d like to hear more from the experts, join us at a Spatial Data Science Bootcamp, designed to equip #DataScientists & Analysts with the geospatial skills and knowledge to apply in their day-to-day work. Take a look at what’s in store here!

A blue base map of the world with locations pinned in London, New York, Madrid, Paris, Toronto, Washington DC & San Francisco. "#SDSC23, Spatial Data Science Bootcamps" is displayed to the left
Spatial Data Science Bootcamps 2023

Coffee break content

Order up! Here are some of the latest #Geospatial reads to jump-start your day:

On the road!

Find out about upcoming events and webinars for the geo-community here!

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 to feature in a future edition of Spatial Perspectives!

KRISHNAN N NARAYANAN

Sales Associate at American Airlines

1 年

Thanks for sharing

回复
CHESTER SWANSON SR.

Next Trend Realty LLC./wwwHar.com/Chester-Swanson/agent_cbswan

1 年

Thanks for sharing.

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