From 329dd86bfd3979c01ffb9693930258e7415438e1 Mon Sep 17 00:00:00 2001 From: Erica Fischer Date: Fri, 24 Feb 2023 16:05:45 -0800 Subject: [PATCH] Add `--cluster-maxzoom` option (#75) * Add `--cluster-maxzoom` option * Add tests, update changelog * Update manpage * Update tests --------- Co-authored-by: Aurele Nitoref --- CHANGELOG.md | 3 + Makefile | 2 +- README.md | 2 + main.cpp | 25 +- main.hpp | 1 + man/tippecanoe.1 | 8 +- .../out/-z3_-K20_-r1_-yNAME_-k2.json | 1258 +++++++++++++++++ .../out/-zg_-K20_-r1_-yNAME_-kg.json | 1258 +++++++++++++++++ tile.cpp | 2 +- 9 files changed, 2552 insertions(+), 7 deletions(-) create mode 100644 tests/ne_110m_populated_places/out/-z3_-K20_-r1_-yNAME_-k2.json create mode 100644 tests/ne_110m_populated_places/out/-zg_-K20_-r1_-yNAME_-kg.json diff --git a/CHANGELOG.md b/CHANGELOG.md index b88c9497..7a898bf6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,4 +1,7 @@ +* Add --cluster-maxzoom option to limit zoom levels that receive clustering * Add `point_count_abbreviated` attribute to clustered features, for consistency with supercluster +* Makefile changes to support FreeBSD +* Add -r option to tile-join to provide a file containing a list of input files ## 2.23.0 diff --git a/Makefile b/Makefile index afa587db..712b5116 100644 --- a/Makefile +++ b/Makefile @@ -15,7 +15,7 @@ RELEASE_FLAGS := -O3 -DNDEBUG DEBUG_FLAGS := -O0 -DDEBUG -fno-inline-functions -fno-omit-frame-pointer -OS := $(shell uname -o) +OS := $(shell uname -s) ifeq ($(OS),FreeBSD) ADVSHELL = /usr/local/bin/bash else diff --git a/README.md b/README.md index c309752c..8359738b 100644 --- a/README.md +++ b/README.md @@ -456,6 +456,8 @@ the same layer, enclose them in an `all` expression so they will all be evaluate * `-al` or `--drop-lines`: Let "dot" dropping at lower zooms apply to lines too * `-ap` or `--drop-polygons`: Let "dot" dropping at lower zooms apply to polygons too * `-K` _distance_ or `--cluster-distance=`_distance_: Cluster points (as with `--cluster-densest-as-needed`, but without the experimental discovery process) that are approximately within _distance_ of each other. The units are tile coordinates within a nominally 256-pixel tile, so the maximum value of 255 allows only one feature per tile. Values around 10 are probably appropriate for typical marker sizes. See `--cluster-densest-as-needed` below for behavior. + * `-k` _zoom_ or `--cluster-maxzoom=`_zoom_: Max zoom on which to cluster points if clustering is enabled. + * `-kg` or `--cluster-maxzoom=g`: Set `--cluster-maxzoom=` to `maxzoom - 1` so that all features are visible at the maximum zoom level. ### Dropping a fraction of features to keep under tile size limits diff --git a/main.cpp b/main.cpp index 89b8933b..c1d2b367 100644 --- a/main.cpp +++ b/main.cpp @@ -82,6 +82,7 @@ size_t max_tile_size = 500000; size_t max_tile_features = 200000; int cluster_distance = 0; int tiny_polygon_size = 2; +int cluster_maxzoom = MAX_ZOOM; long justx = -1, justy = -1; std::string attribute_for_id = ""; size_t limit_tile_feature_count = 0; @@ -1163,7 +1164,7 @@ void choose_first_zoom(long long *file_bbox, std::vector &readers } } -std::pair read_input(std::vector &sources, char *fname, int maxzoom, int minzoom, int basezoom, double basezoom_marker_width, sqlite3 *outdb, const char *outdir, std::set *exclude, std::set *include, int exclude_all, json_object *filter, double droprate, int buffer, const char *tmpdir, double gamma, int read_parallel, int forcetable, const char *attribution, bool uses_gamma, long long *file_bbox, const char *prefilter, const char *postfilter, const char *description, bool guess_maxzoom, std::map const *attribute_types, const char *pgm, std::map const *attribute_accum, std::map const &attribute_descriptions, std::string const &commandline, int minimum_maxzoom) { +std::pair read_input(std::vector &sources, char *fname, int maxzoom, int minzoom, int basezoom, double basezoom_marker_width, sqlite3 *outdb, const char *outdir, std::set *exclude, std::set *include, int exclude_all, json_object *filter, double droprate, int buffer, const char *tmpdir, double gamma, int read_parallel, int forcetable, const char *attribution, bool uses_gamma, long long *file_bbox, const char *prefilter, const char *postfilter, const char *description, bool guess_maxzoom, bool guess_cluster_maxzoom, std::map const *attribute_types, const char *pgm, std::map const *attribute_accum, std::map const &attribute_descriptions, std::string const &commandline, int minimum_maxzoom) { int ret = EXIT_SUCCESS; std::vector readers; @@ -2102,7 +2103,7 @@ std::pair read_input(std::vector &sources, char *fname, i } bool changed = false; - while (maxzoom < 32 - full_detail && maxzoom < 33 - low_detail && cluster_distance > 0) { + while (maxzoom < 32 - full_detail && maxzoom < 33 - low_detail && maxzoom < cluster_maxzoom && cluster_distance > 0) { unsigned long long zoom_mingap = ((1LL << (32 - maxzoom)) / 256 * cluster_distance) * ((1LL << (32 - maxzoom)) / 256 * cluster_distance); if (avg > zoom_mingap) { break; @@ -2112,7 +2113,7 @@ std::pair read_input(std::vector &sources, char *fname, i changed = true; } if (changed) { - printf("Choosing a maxzoom of -z%d to keep most features distinct with cluster distance %d\n", maxzoom, cluster_distance); + printf("Choosing a maxzoom of -z%d to keep most features distinct with cluster distance %d and cluster maxzoom %d\n", maxzoom, cluster_distance, cluster_maxzoom); } if (droprate == -3) { @@ -2203,6 +2204,11 @@ std::pair read_input(std::vector &sources, char *fname, i } } + if (cluster_maxzoom >= maxzoom && guess_cluster_maxzoom) { + cluster_maxzoom = maxzoom - 1; + fprintf(stderr, "Choosing a cluster maxzoom of -k%d to make all features visible at maximum zoom %d\n", cluster_maxzoom, maxzoom); + } + if (basezoom < 0 || droprate < 0) { struct tile { unsigned x; @@ -2692,6 +2698,7 @@ int main(int argc, char **argv) { const char *postfilter = NULL; bool guess_maxzoom = false; int minimum_maxzoom = 0; + bool guess_cluster_maxzoom = false; std::set exclude, include; std::map attribute_types; @@ -2770,6 +2777,7 @@ int main(int argc, char **argv) { {"drop-lines", no_argument, &additional[A_LINE_DROP], 1}, {"drop-polygons", no_argument, &additional[A_POLYGON_DROP], 1}, {"cluster-distance", required_argument, 0, 'K'}, + {"cluster-maxzoom", required_argument, 0, 'k'}, {"Dropping or merging a fraction of features to keep under tile size limits", 0, 0, 0}, {"drop-densest-as-needed", no_argument, &additional[A_DROP_DENSEST_AS_NEEDED], 1}, @@ -3073,6 +3081,15 @@ int main(int argc, char **argv) { } break; + case 'k': + if (strcmp(optarg, "g") == 0) { + cluster_maxzoom = MAX_ZOOM - 1; + guess_cluster_maxzoom = true; + } else { + cluster_maxzoom = atoi_require(optarg, "Cluster maxzoom"); + } + break; + case 'd': full_detail = atoi_require(optarg, "Full detail"); if (full_detail > 30) { @@ -3484,7 +3501,7 @@ int main(int argc, char **argv) { auto input_ret = read_input(sources, name ? name : out_mbtiles ? out_mbtiles : out_dir, - maxzoom, minzoom, basezoom, basezoom_marker_width, outdb, out_dir, &exclude, &include, exclude_all, filter, droprate, buffer, tmpdir, gamma, read_parallel, forcetable, attribution, gamma != 0, file_bbox, prefilter, postfilter, description, guess_maxzoom, &attribute_types, argv[0], &attribute_accum, attribute_descriptions, commandline, minimum_maxzoom); + maxzoom, minzoom, basezoom, basezoom_marker_width, outdb, out_dir, &exclude, &include, exclude_all, filter, droprate, buffer, tmpdir, gamma, read_parallel, forcetable, attribution, gamma != 0, file_bbox, prefilter, postfilter, description, guess_maxzoom, guess_cluster_maxzoom, &attribute_types, argv[0], &attribute_accum, attribute_descriptions, commandline, minimum_maxzoom); ret = std::get<0>(input_ret); diff --git a/main.hpp b/main.hpp index 933957f2..d7cd2aa5 100644 --- a/main.hpp +++ b/main.hpp @@ -53,6 +53,7 @@ extern size_t memsize; extern size_t max_tile_size; extern size_t max_tile_features; extern int cluster_distance; +extern int cluster_maxzoom; extern std::string attribute_for_id; extern int tiny_polygon_size; extern size_t limit_tile_feature_count; diff --git a/man/tippecanoe.1 b/man/tippecanoe.1 index 8910fcbc..265c82c8 100644 --- a/man/tippecanoe.1 +++ b/man/tippecanoe.1 @@ -395,7 +395,7 @@ Parallel processing will also be automatic if the input file is in FlatGeobuf fo .IP \(bu 2 \fB\fC\-zg\fR or \fB\fC\-\-maximum\-zoom=g\fR: Guess what is probably a reasonable maxzoom based on the spacing of features. .IP \(bu 2 -\fB\fC\-\-smallest\-maximum\-zoom\-guess=\fR\fIzoom\fP: Guess what is probably a reasonable maxzoom based on the spacing of features, but using the specified \fIzoom\fP if a lower maxzoom is guessed. +\fB\fC\-\-smallest\-maximum\-zoom\-guess=\fR\fIzoom\fP: Guess what is probably a reasonable maxzoom based on the spacing of features, but using the specified \fIzoom\fP if a lower maxzoom is guessed. If \fB\fC\-Bg\fR is also set, the base zoom will be set to the guessed maxzoom, with all the points carried forward into additional zooms through the one specified. .IP \(bu 2 \fB\fC\-Z\fR \fIzoom\fP or \fB\fC\-\-minimum\-zoom=\fR\fIzoom\fP: Minzoom: the lowest zoom level for which tiles are generated (default 0) .IP \(bu 2 @@ -573,6 +573,10 @@ preference to retaining points in sparse areas and dropping points in dense area \fB\fC\-ap\fR or \fB\fC\-\-drop\-polygons\fR: Let "dot" dropping at lower zooms apply to polygons too .IP \(bu 2 \fB\fC\-K\fR \fIdistance\fP or \fB\fC\-\-cluster\-distance=\fR\fIdistance\fP: Cluster points (as with \fB\fC\-\-cluster\-densest\-as\-needed\fR, but without the experimental discovery process) that are approximately within \fIdistance\fP of each other. The units are tile coordinates within a nominally 256\-pixel tile, so the maximum value of 255 allows only one feature per tile. Values around 10 are probably appropriate for typical marker sizes. See \fB\fC\-\-cluster\-densest\-as\-needed\fR below for behavior. +.IP \(bu 2 +\fB\fC\-k\fR \fIzoom\fP or \fB\fC\-\-cluster\-maxzoom=\fR\fIzoom\fP: Max zoom on which to cluster points if clustering is enabled. +.IP \(bu 2 +\fB\fC\-kg\fR or \fB\fC\-\-cluster\-maxzoom=g\fR: Set \fB\fC\-\-cluster\-maxzoom=\fR to \fB\fCmaxzoom \- 1\fR so that all features are visible at the maximum zoom level. .RE .SS Dropping a fraction of features to keep under tile size limits .RS @@ -952,6 +956,8 @@ The options are: \fB\fC\-e\fR \fIdirectory\fP or \fB\fC\-\-output\-to\-directory=\fR\fIdirectory\fP: Write the new tiles to the specified directory instead of to an mbtiles file. .IP \(bu 2 \fB\fC\-f\fR or \fB\fC\-\-force\fR: Remove \fIout.mbtiles\fP if it already exists. +.IP \(bu 2 +\fB\fC\-r\fR or \fB\fC\-\-read\-from\fR: list of input mbtiles to read from. .RE .SS Tileset description and attribution .RS diff --git a/tests/ne_110m_populated_places/out/-z3_-K20_-r1_-yNAME_-k2.json b/tests/ne_110m_populated_places/out/-z3_-K20_-r1_-yNAME_-k2.json new file mode 100644 index 00000000..caa7713e --- /dev/null +++ b/tests/ne_110m_populated_places/out/-z3_-K20_-r1_-yNAME_-k2.json @@ -0,0 +1,1258 @@ +{ "type": "FeatureCollection", "properties": { +"bounds": "-175.220564,-41.299973,179.216647,64.150023", +"center": "22.500000,53.746579,3", +"description": "tests/ne_110m_populated_places/out/-z3_-K20_-r1_-yNAME_-k2.json.check.mbtiles", +"format": "pbf", +"generator_options": "./tippecanoe -q -a@ -f -o tests/ne_110m_populated_places/out/-z3_-K20_-r1_-yNAME_-k2.json.check.mbtiles -z3 -K20 -r1 -yNAME -k2 tests/ne_110m_populated_places/in.json", +"json": "{\"vector_layers\":[{\"id\":\"in\",\"description\":\"\",\"minzoom\":0,\"maxzoom\":3,\"fields\":{\"NAME\":\"String\",\"clustered\":\"Boolean\",\"point_count\":\"Number\",\"point_count_abbreviated\":\"String\",\"sqrt_point_count\":\"Number\"}}],\"tilestats\":{\"layerCount\":1,\"layers\":[{\"layer\":\"in\",\"count\":243,\"geometry\":\"Point\",\"attributeCount\":5,\"attributes\":[{\"attribute\":\"NAME\",\"count\":243,\"type\":\"string\",\"values\":[\"Abidjan\",\"Abu Dhabi\",\"Abuja\",\"Accra\",\"Addis Ababa\",\"Algiers\",\"Amman\",\"Amsterdam\",\"Andorra\",\"Ankara\",\"Antananarivo\",\"Apia\",\"Ashgabat\",\"Asmara\",\"Astana\",\"Asuncion\",\"Athens\",\"Atlanta\",\"Auckland\",\"Baghdad\",\"Baguio City\",\"Baku\",\"Bamako\",\"Bandar Seri Begawan\",\"Bangalore\",\"Bangkok\",\"Bangui\",\"Banjul\",\"Basseterre\",\"Beijing\",\"Beirut\",\"Belgrade\",\"Belmopan\",\"Berlin\",\"Bern\",\"Bir Lehlou\",\"Bishkek\",\"Bissau\",\"Bloemfontein\",\"Bogota\",\"Brasilia\",\"Bratislava\",\"Brazzaville\",\"Bridgetown\",\"Brussels\",\"Bucharest\",\"Budapest\",\"Buenos Aires\",\"Bujumbura\",\"Cairo\",\"Canberra\",\"Cape Town\",\"Caracas\",\"Casablanca\",\"Castries\",\"Chengdu\",\"Chicago\",\"Chisinau\",\"Colombo\",\"Conakry\",\"Cotonou\",\"Dakar\",\"Damascus\",\"Dar es Salaam\",\"Denver\",\"Dhaka\",\"Dili\",\"Djibouti\",\"Dodoma\",\"Doha\",\"Dubai\",\"Dublin\",\"Dushanbe\",\"Freetown\",\"Funafuti\",\"Gaborone\",\"Geneva\",\"Georgetown\",\"Guatemala\",\"Hanoi\",\"Harare\",\"Hargeysa\",\"Havana\",\"Helsinki\",\"Hong Kong\",\"Honiara\",\"Houston\",\"Islamabad\",\"Istanbul\",\"Jakarta\",\"Jerusalem\",\"Johannesburg\",\"Juba\",\"Kabul\",\"Kampala\",\"Kathmandu\",\"Khartoum\",\"Kiev\",\"Kigali\",\"Kingston\"]},{\"attribute\":\"clustered\",\"count\":1,\"type\":\"boolean\",\"values\":[true]},{\"attribute\":\"point_count\",\"count\":15,\"type\":\"number\",\"values\":[10,11,12,13,14,15,19,2,29,3,4,5,6,8,9],\"min\":2,\"max\":29},{\"attribute\":\"point_count_abbreviated\",\"count\":15,\"type\":\"string\",\"values\":[\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"19\",\"2\",\"29\",\"3\",\"4\",\"5\",\"6\",\"8\",\"9\"]},{\"attribute\":\"sqrt_point_count\",\"count\":15,\"type\":\"number\",\"values\":[1.410000,1.730000,2.000000,2.240000,2.450000,2.830000,3.000000,3.160000,3.320000,3.460000,3.610000,3.740000,3.870000,4.360000,5.390000],\"min\":1.41,\"max\":5.39}]}]}}", +"maxzoom": "3", +"minzoom": "0", +"name": "tests/ne_110m_populated_places/out/-z3_-K20_-r1_-yNAME_-k2.json.check.mbtiles", +"strategies": "[{\"coalesced_as_needed\":207},{\"coalesced_as_needed\":174},{\"coalesced_as_needed\":108},{}]", +"type": "overlay", +"version": "2" +}, "features": [ +{ "type": "FeatureCollection", "properties": { "zoom": 0, "x": 0, "y": 0 }, "features": [ +{ "type": "FeatureCollection", "properties": { "layer": "in", "version": 2, "extent": 4096 }, "features": [ +{ "type": "Feature", "properties": { "NAME": "Vancouver" }, "geometry": { "type": "Point", "coordinates": [ -123.134766, 49.267805 ] } } +, +{ "type": "Feature", "properties": { "NAME": "San Francisco", "clustered": true, "point_count": 2, "sqrt_point_count": 1.41, "point_count_abbreviated": "2" }, "geometry": { "type": "Point", "coordinates": [ -120.322266, 35.889050 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Denver", "clustered": true, "point_count": 4, "sqrt_point_count": 2, "point_count_abbreviated": "4" }, "geometry": { "type": "Point", "coordinates": [ -99.931641, 28.921631 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Guatemala" }, "geometry": { "type": "Point", "coordinates": [ -90.527344, 14.604847 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Chicago", "clustered": true, "point_count": 3, "sqrt_point_count": 1.73, "point_count_abbreviated": "3" }, "geometry": { "type": "Point", "coordinates": [ -80.947266, 43.644026 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Atlanta", "clustered": true, "point_count": 15, "sqrt_point_count": 3.87, "point_count_abbreviated": "15" }, "geometry": { "type": "Point", "coordinates": [ -80.595703, 21.616579 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Bogota", "clustered": true, "point_count": 10, "sqrt_point_count": 3.16, "point_count_abbreviated": "10" }, "geometry": { "type": "Point", "coordinates": [ -63.193359, 12.811801 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Georgetown", "clustered": true, "point_count": 2, "sqrt_point_count": 1.41, "point_count_abbreviated": "2" }, "geometry": { "type": "Point", "coordinates": [ -56.689453, 6.315299 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Reykjavík", "clustered": true, "point_count": 2, "sqrt_point_count": 1.41, "point_count_abbreviated": "2" }, "geometry": { "type": "Point", "coordinates": [ -14.062500, 59.175928 ] } } +, +{ "type": "Feature", "properties": { "NAME": "London" }, "geometry": { "type": "Point", "coordinates": [ -0.087891, 51.508742 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Praia", "clustered": true, "point_count": 11, "sqrt_point_count": 3.32, "point_count_abbreviated": "11" }, "geometry": { "type": "Point", "coordinates": [ -12.656250, 25.244696 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Conakry", "clustered": true, "point_count": 10, "sqrt_point_count": 3.16, "point_count_abbreviated": "10" }, "geometry": { "type": "Point", "coordinates": [ -23.554688, 6.140555 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Quito", "clustered": true, "point_count": 5, "sqrt_point_count": 2.24, "point_count_abbreviated": "5" }, "geometry": { "type": "Point", "coordinates": [ -73.212891, -19.559790 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Sucre", "clustered": true, "point_count": 6, "sqrt_point_count": 2.45, "point_count_abbreviated": "6" }, "geometry": { "type": "Point", "coordinates": [ -55.371094, -25.720735 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Rio de Janeiro" }, "geometry": { "type": "Point", "coordinates": [ -43.242188, -22.917923 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Oslo", "clustered": true, "point_count": 29, "sqrt_point_count": 5.39, "point_count_abbreviated": "29" }, "geometry": { "type": "Point", "coordinates": [ 12.568359, 48.166085 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Skopje", "clustered": true, "point_count": 12, "sqrt_point_count": 3.46, "point_count_abbreviated": "12" }, "geometry": { "type": "Point", "coordinates": [ 26.982422, 51.179343 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Tbilisi", "clustered": true, "point_count": 14, "sqrt_point_count": 3.74, "point_count_abbreviated": "14" }, "geometry": { "type": "Point", "coordinates": [ 9.316406, 17.644022 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Ndjamena", "clustered": true, "point_count": 14, "sqrt_point_count": 3.74, "point_count_abbreviated": "14" }, "geometry": { "type": "Point", "coordinates": [ 30.937500, 29.152161 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Khartoum", "clustered": true, "point_count": 8, "sqrt_point_count": 2.83, "point_count_abbreviated": "8" }, "geometry": { "type": "Point", "coordinates": [ 38.232422, 10.228437 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Astana", "clustered": true, "point_count": 13, "sqrt_point_count": 3.61, "point_count_abbreviated": "13" }, "geometry": { "type": "Point", "coordinates": [ 59.150391, 34.957995 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Muscat", "clustered": true, "point_count": 5, "sqrt_point_count": 2.24, "point_count_abbreviated": "5" }, "geometry": { "type": "Point", "coordinates": [ 63.017578, 27.137368 ] } } +, +{ "type": "Feature", "properties": { "NAME": "New Delhi", "clustered": true, "point_count": 9, "sqrt_point_count": 3, "point_count_abbreviated": "9" }, "geometry": { "type": "Point", "coordinates": [ 80.507812, 17.560247 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Ulaanbaatar" }, "geometry": { "type": "Point", "coordinates": [ 106.962891, 47.931066 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Dhaka", "clustered": true, "point_count": 11, "sqrt_point_count": 3.32, "point_count_abbreviated": "11" }, "geometry": { "type": "Point", "coordinates": [ 100.722656, 14.944785 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Beijing", "clustered": true, "point_count": 9, "sqrt_point_count": 3, "point_count_abbreviated": "9" }, "geometry": { "type": "Point", "coordinates": [ 120.322266, 26.194877 ] } } +, +{ "type": "Feature", 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"Point", "coordinates": [ 158.148193, 6.915521 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Majuro" }, "geometry": { "type": "Point", "coordinates": [ 171.375732, 7.100893 ] } } +, +{ "type": "Feature", "properties": { "NAME": "Tarawa" }, "geometry": { "type": "Point", "coordinates": [ 173.012695, 1.340210 ] } } +] } +] } +] } diff --git a/tile.cpp b/tile.cpp index c77e0739..8d824f51 100644 --- a/tile.cpp +++ b/tile.cpp @@ -2088,7 +2088,7 @@ long long write_tile(decompressor *geoms, std::atomic *geompos_in, ch // representative of the other features in the tile. const size_t MAX_INDICES = 100000; - if (additional[A_CLUSTER_DENSEST_AS_NEEDED] || cluster_distance != 0) { + if (z <= cluster_maxzoom && (additional[A_CLUSTER_DENSEST_AS_NEEDED] || cluster_distance != 0)) { if (indices.size() < MAX_INDICES) { indices.push_back(sf.index); }