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How to Perform GIS Computations on Non-GIS Databases

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Manage episode 423929687 series 3474159
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-perform-gis-computations-on-non-gis-databases.
If your backend storage doesn't natively support spatial queries, this article is tailored for you.
Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #programming-tutorial, #geospatial, #k-nearest-neighbor, #gis-computations, #non-gis-databases, #google-maps, #hackernoon-top-story, #geo-indexing, and more.
This story was written by: @joellopes. Learn more about this writer by checking @joellopes's about page, and for more stories, please visit hackernoon.com.
If your backend storage doesn't natively support spatial queries, this article is tailored for you. You can always build another microservice to handle spatial data, but this option often involves the overhead of maintaining an additional application. Another approach is to use geo-indexing libraries like S2 and H3. S2 divides the sphere into cells, each with a unique 64-bit identifier. Higher levels correspond to finer resolutions and smaller cell areas.

  continue reading

262 episodes

Artwork
iconShare
 
Manage episode 423929687 series 3474159
Content provided by HackerNoon. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by HackerNoon or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This story was originally published on HackerNoon at: https://hackernoon.com/how-to-perform-gis-computations-on-non-gis-databases.
If your backend storage doesn't natively support spatial queries, this article is tailored for you.
Check more stories related to programming at: https://hackernoon.com/c/programming. You can also check exclusive content about #programming-tutorial, #geospatial, #k-nearest-neighbor, #gis-computations, #non-gis-databases, #google-maps, #hackernoon-top-story, #geo-indexing, and more.
This story was written by: @joellopes. Learn more about this writer by checking @joellopes's about page, and for more stories, please visit hackernoon.com.
If your backend storage doesn't natively support spatial queries, this article is tailored for you. You can always build another microservice to handle spatial data, but this option often involves the overhead of maintaining an additional application. Another approach is to use geo-indexing libraries like S2 and H3. S2 divides the sphere into cells, each with a unique 64-bit identifier. Higher levels correspond to finer resolutions and smaller cell areas.

  continue reading

262 episodes

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