Trying to say Thanks for sharing h3, it was news to me.
If you spot how many bits a hexagon takes, please let me know! 😁
Ah I see! Makes sense, haha.
I'm still nerdy about binary-geohashes so I was quite intrigued to compare them to h3.
If space distortion can be neglected;
H3 seems way more computationally expensive but I wonder how it compares in space efficiency
#m=image%2Fjpeg&dim=769x884&blurhash=%7B4R%7B*%7C%7EqV%5B%25MIUofxu.8IUxuRjt7WBfRoffiM%7BWBofWBj%5BayfRofWBWBj%5Bayj%5Baya%7CofRjRja%7BfQj%5BfRayayWBWBofWBj%5BayfQofRjRkj%5BayoffQayfRfRR%25j%40f7j%5BjufQayM%7BWBj%5BWBj%5BayfQj%5D&x=bc43b93ec00237f58a6ce61b7e7a110006ebaacd422c44068a61ec41e406f22f
https://www.ibm.com/docs/en/streams/4.3.0?topic=334-geohashes
Trying to say Thanks for sharing h3, it was news to me.
If you spot how many bits a hexagon takes, please let me know! 😁
No replies yet.