I ma becoming mad with this, I have a very dense point layer, where some points share exact same geometry. These points are nto being shown, sometimes build just fien otehr just break. Is there anything I cna do to try to keep all the features at least at zoom 16? thanks in advance
I have run:
tippecanoe --minimum-zoom=13 --maximum-zoom=16 --drop-densest-as-needed --read-parallel --force -l my_source_layer -o ./my_tileset.mbtiles ./my_data.json
this is the output. Not breaks in the tiles, nothing weird. jsut dropping poitns as usual. But in the places where should be few points in the same location(exactly same coordinates) Are not appearing hte records when uploaded to mapbox
21421807 features, 1771044464 bytes of geometry, 4 bytes of separate metadata, 7016918733 bytes of string pool
tile 13/4091/2723 size is 705432 with detail 12, >500000
Going to try keeping the sparsest 63.79% of the features to make it fit
tile 13/4091/2724 size is 766206 with detail 12, >500000
Going to try keeping the sparsest 58.73% of the features to make it fit
tile 13/4092/2724 size is 891261 with detail 12, >500000
Going to try keeping the sparsest 50.49% of the features to make it fit
tile 13/4093/2723 size is 826722 with detail 12, >500000
Going to try keeping the sparsest 54.43% of the features to make it fit
tile 13/4092/2723 size is 978354 with detail 12, >500000
Going to try keeping the sparsest 46.00% of the features to make it fit
tile 14/8184/5449 size is 631829 with detail 12, >500000
Going to try keeping the sparsest 71.22% of the features to make it fit
tile 14/8185/5448 size is 629623 with detail 12, >500000
Going to try keeping the sparsest 71.47% of the features to make it fit
tile 14/8184/5448 size is 519901 with detail 12, >500000
Going to try keeping the sparsest 86.55% of the features to make it fit
tile 14/8186/5447 size is 807438 with detail 12, >500000
Going to try keeping the sparsest 55.73% of the features to make it fit
tile 14/8183/5449 size is 541216 with detail 12, >500000
Going to try keeping the sparsest 83.15% of the features to make it fit
tile 14/8183/5448 size is 509938 with detail 12, >500000
Going to try keeping the sparsest 88.25% of the features to make it fit
tile 14/8182/5448 size is 514004 with detail 12, >500000
Going to try keeping the sparsest 87.55% of the features to make it fit
tile 14/8183/5447 size is 555712 with detail 12, >500000
Going to try keeping the sparsest 80.98% of the features to make it fit
tile 14/8184/5447 size is 512745 with detail 12, >500000
Going to try keeping the sparsest 87.76% of the features to make it fit
tile 14/8185/5447 size is 1290523 with detail 12, >500000
Going to try keeping the sparsest 34.87% of the features to make it fit
tile 15/16372/10895 size is 891304 with detail 12, >500000
Going to try keeping the sparsest 50.49% of the features to make it fit
tile 15/16371/10894 size is 579153 with detail 12, >500000
Going to try keeping the sparsest 77.70% of the features to make it fit
tile 15/16370/10895 size is 745733 with detail 12, >500000
Going to try keeping the sparsest 60.34% of the features to make it fit
tile 15/16371/10895 size is 1062501 with detail 12, >500000
Going to try keeping the sparsest 42.35% of the features to make it fit
tile 15/16370/10894 size is 621073 with detail 12, >500000
Going to try keeping the sparsest 72.46% of the features to make it fit
tile 15/16369/10897 size is 646649 with detail 12, >500000
Going to try keeping the sparsest 69.59% of the features to make it fit
tile 16/32863/21860 size is 557219 with detail 12, >500000
Going to try keeping the sparsest 80.76% of the features to make it fit
tile 16/32744/21791 size is 566176 with detail 12, >500000
Going to try keeping the sparsest 79.48% of the features to make it fit
tile 16/32742/21790 size is 602669 with detail 12, >500000
Going to try keeping the sparsest 74.67% of the features to make it fit
tile 16/32743/21791 size is 562731 with detail 12, >500000
Going to try keeping the sparsest 79.97% of the features to make it fit
tile 16/32743/21790 size is 604762 with detail 12, >500000
Going to try keeping the sparsest 74.41% of the features to make it fit
tile 16/32742/21791 size is 573437 with detail 12, >500000
Going to try keeping the sparsest 78.47% of the features to make it fit
Image with the tileset build with just 4 records for one example where should be some overlaps>
I ma becoming mad with this, I have a very dense point layer, where some points share exact same geometry. These points are nto being shown, sometimes build just fien otehr just break. Is there anything I cna do to try to keep all the features at least at zoom 16? thanks in advance I have run: tippecanoe --minimum-zoom=13 --maximum-zoom=16 --drop-densest-as-needed --read-parallel --force -l my_source_layer -o ./my_tileset.mbtiles ./my_data.json this is the output. Not breaks in the tiles, nothing weird. jsut dropping poitns as usual. But in the places where should be few points in the same location(exactly same coordinates) Are not appearing hte records when uploaded to mapbox 21421807 features, 1771044464 bytes of geometry, 4 bytes of separate metadata, 7016918733 bytes of string pool tile 13/4091/2723 size is 705432 with detail 12, >500000 Going to try keeping the sparsest 63.79% of the features to make it fit tile 13/4091/2724 size is 766206 with detail 12, >500000 Going to try keeping the sparsest 58.73% of the features to make it fit tile 13/4092/2724 size is 891261 with detail 12, >500000 Going to try keeping the sparsest 50.49% of the features to make it fit tile 13/4093/2723 size is 826722 with detail 12, >500000 Going to try keeping the sparsest 54.43% of the features to make it fit tile 13/4092/2723 size is 978354 with detail 12, >500000 Going to try keeping the sparsest 46.00% of the features to make it fit tile 14/8184/5449 size is 631829 with detail 12, >500000 Going to try keeping the sparsest 71.22% of the features to make it fit tile 14/8185/5448 size is 629623 with detail 12, >500000 Going to try keeping the sparsest 71.47% of the features to make it fit tile 14/8184/5448 size is 519901 with detail 12, >500000 Going to try keeping the sparsest 86.55% of the features to make it fit tile 14/8186/5447 size is 807438 with detail 12, >500000 Going to try keeping the sparsest 55.73% of the features to make it fit tile 14/8183/5449 size is 541216 with detail 12, >500000 Going to try keeping the sparsest 83.15% of the features to make it fit tile 14/8183/5448 size is 509938 with detail 12, >500000 Going to try keeping the sparsest 88.25% of the features to make it fit tile 14/8182/5448 size is 514004 with detail 12, >500000 Going to try keeping the sparsest 87.55% of the features to make it fit tile 14/8183/5447 size is 555712 with detail 12, >500000 Going to try keeping the sparsest 80.98% of the features to make it fit tile 14/8184/5447 size is 512745 with detail 12, >500000 Going to try keeping the sparsest 87.76% of the features to make it fit tile 14/8185/5447 size is 1290523 with detail 12, >500000 Going to try keeping the sparsest 34.87% of the features to make it fit tile 15/16372/10895 size is 891304 with detail 12, >500000 Going to try keeping the sparsest 50.49% of the features to make it fit tile 15/16371/10894 size is 579153 with detail 12, >500000 Going to try keeping the sparsest 77.70% of the features to make it fit tile 15/16370/10895 size is 745733 with detail 12, >500000 Going to try keeping the sparsest 60.34% of the features to make it fit tile 15/16371/10895 size is 1062501 with detail 12, >500000 Going to try keeping the sparsest 42.35% of the features to make it fit tile 15/16370/10894 size is 621073 with detail 12, >500000 Going to try keeping the sparsest 72.46% of the features to make it fit tile 15/16369/10897 size is 646649 with detail 12, >500000 Going to try keeping the sparsest 69.59% of the features to make it fit tile 16/32863/21860 size is 557219 with detail 12, >500000 Going to try keeping the sparsest 80.76% of the features to make it fit tile 16/32744/21791 size is 566176 with detail 12, >500000 Going to try keeping the sparsest 79.48% of the features to make it fit tile 16/32742/21790 size is 602669 with detail 12, >500000 Going to try keeping the sparsest 74.67% of the features to make it fit tile 16/32743/21791 size is 562731 with detail 12, >500000 Going to try keeping the sparsest 79.97% of the features to make it fit tile 16/32743/21790 size is 604762 with detail 12, >500000 Going to try keeping the sparsest 74.41% of the features to make it fit tile 16/32742/21791 size is 573437 with detail 12, >500000 Going to try keeping the sparsest 78.47% of the features to make it fit
Image with the tileset build with just 4 records for one example where should be some overlaps>
exact same location for the whole dataset build