* Reduce maxzooms being guessed a little:
* Use 1.5 standard deviations, not 2, as the minimum distinguishable
* Give overlapping polygons and linestrings more distinct indices
* Add another drop rate guessing options, from the same metrics -zg uses
* Guard against using -rp without -zg
* Add an option to retain extra coordinate precision at maxzoom
* Make sure not to shift away the extra detail from coordinates
* Add an option to convert double-precision attributes to single
* Sort attribute values in tiles to make them compress a little better
* Slightly improve polygon simplification
By choosing a point that would be retained after simplification
to be the start/end point that always gets retained
* I regret making all of these tests involve polygons
* Add an option to specify the size of tiny polygons
* Fix accidental requiring of argument for --single-precision
* Guard against duplicate points when generating "sizes" for them
* Restore the intended behavior that tiny polygons don't get simplified
* Make the extra detail settable rather than always maximizing it
* Revert "Improve maxzoom guessing for tightly-clustered point data sources (#4)"
This reverts commit fec5e8354c.
* Add an option to prevent choosing a base zoom higher than the maxzoom
* Keep the drop rate high enough when the basezoom gets constrained
* Revert "Revert "Improve maxzoom guessing for tightly-clustered point data sources (#4)""
This reverts commit db6bc27d9e.
* Add --order-by and --order-descending options
* Accept multiple --order-by and --order-descending-by sort keys
* Improve maxzoom guessing for tightly-clustered point data sources
* Go back to the old distance estimate, since it is less mysterious
* Update changelog and version
* Handle points too when dropping or coalescing the "smallest" features.
* Add statistics of tile size reduction strategies to tileset metadata
* Update changelog and version
* Update documentation
Now the count is always adjacent to whereever the key/value pair is
stored, and is not kept in the serial feature object other than as
the length of the vectors of keys and values.
This moves filtering from the serialization stage to the
tiling stage so that the zoom level can be known to the filter.
The side effect is to carry null attributes much further through
the pipeline than previously.
Erica Fischer