Generative Geospatial insights (GGi)

GGi?
Can GenAI assess the metadata and schema of data belonging to a Metropolitan Planning Organization (MPO) or other data agency and tell …
- What Mapping and Analysis is possible using the data?
and
- How the data can be used to do so?
Yes! - We could call this Generative Geospatial insights (GGi).

Why GGi is Emerging
With agencies such as the Census Bureau embracing AI for better “service opportunities”, the path to GGi is set to elevate public data agencies from information to insight providers. GnAI can be used to tell partners and the public - what is possible and how, with public data.

How to GGi
Copy the metadata or data schema of a public dataset into a Generative AI prompt such as ChatGPT or Claude and then ask - “What mapping and analysis can I perform with this data?”. Then followup with more specific questions per your interests and needs. Also, ask “How” would you use the data to perform some of the actions proposed.
For example
1. Go to - Census Data - ACS Demographic Characteristics DC Census Tract
2. View Full Details
3. Ctrl-C/Copy the Attributes Fields
“State Federal Information Processing Standards code
County Federal Information Processing Standards code
Census track code
GEO Identification
Tract Name
Area Land
Area Water
Latitude Centroid
Longitude Centroid
SEX AND AGE: Total population”

4. Open your GenAI application such as ChatGPT / Claude / Bard
5. Ctrl-V/Paste the text into the GenAI Prompt
6. Enter the following above the copied attributes
“Note the following Attributes and tell me what mapping and analysis is possible.”
7. Press enter or Execute the prompt in your GenAI application

You may get a response such as this:

Possible Mapping and Analysis:

  • Demographic Analysis: Understanding population characteristics like age and sex distribution within different regions.

  • Urban Planning: Assessing land use, planning for infrastructure and services based on population density and distribution.

  • Environmental Analysis: Studying the balance between land and water areas, understanding the impact of human population on natural resources.

  • Socioeconomic Studies: Analyzing how population characteristics correlate with geographic areas, which can inform policies on education, healthcare, and housing.

  • Disaster Management and Planning: Understanding where people live in relation to natural features and risks.

  • Market Research: Businesses can use this data to understand potential markets based on population density and characteristics.

The integration of these attributes into Geographic Information Systems (GIS) tools enables complex spatial analyses and the creation of detailed maps that can visually represent the data in a way that's easy to understand and interpret.

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