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Add --coalesce-fraction-as-needed and --coalesce-densest-as-needed
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@@ -247,6 +247,10 @@ compensate for the larger marker, or \fB\fC\-Bf\fR\fInumber\fP to allow at most
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.IP \(bu 2
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\fB\fC\-aN\fR or \fB\fC\-\-coalesce\-smallest\-as\-needed\fR: Dynamically combine the smallest features (physically smallest: the shortest lines or the smallest polygons) from each zoom level into other nearby features to keep large tiles under the 500K size limit. This option will not work for point features, and will probably not help very much with LineStrings. It is mostly intended for polygons, to maintain the full original area covered by polygons while still reducing the feature count somehow. The attributes of the small polygons are \fInot\fP preserved into the combined features, only their geometry.
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.IP \(bu 2
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\fB\fC\-aD\fR or \fB\fC\-\-coalesce\-densest\-as\-needed\fR: Dynamically combine the densest features from each zoom level into other nearby features to keep large tiles under the 500K size limit. (Again, mostly useful for polygons.)
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.IP \(bu 2
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\fB\fC\-aS\fR or \fB\fC\-\-coalesce\-fraction\-as\-needed\fR: Dynamically combine a fraction of features from each zoom level into other nearby features to keep large tiles under the 500K size limit. (Again, mostly useful for polygons.)
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.IP \(bu 2
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\fB\fC\-pd\fR or \fB\fC\-\-force\-feature\-limit\fR: Dynamically drop some fraction of features from large tiles to keep them under the 500K size limit. It will probably look ugly at the tile boundaries. (This is like \fB\fC\-ad\fR but applies to each tile individually, not to the entire zoom level.) You probably don't want to use this.
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.IP \(bu 2
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\fB\fC\-aC\fR or \fB\fC\-\-cluster\-densest\-as\-needed\fR: If a tile is too large, try to reduce its size by increasing the minimum spacing between features, and leaving one placeholder feature from each group. The remaining feature will be given a \fB\fC"cluster": true\fR attribute to indicate that it represents a cluster and a \fB\fC"point_count"\fR attribute to indicate the number of features that were clustered into it.
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