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How to Perform GIS Computations on Non-GIS Databases

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Manage episode 423929687 series 3474159
Kandungan disediakan oleh HackerNoon. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh HackerNoon atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.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

469 episod

Artwork
iconKongsi
 
Manage episode 423929687 series 3474159
Kandungan disediakan oleh HackerNoon. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh HackerNoon atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.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

469 episod

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