tippecanoe

Builds vector tilesets from large (or small) collections of GeoJSON, FlatGeobuf, or CSV features, like these.

This is the official home of Tippecanoe, developed and actively maintained by Erica Fischer at Felt.

For a self-hosted, API driven version of Tippecanoe, contact a technical sales engineer at sales@felt.com. Felt produces highly performant, automatically projected versions of your data, and utilizes a rendering engine, built on top of MapLibre GL JS, to style vector and raster data.

Version 2.0.0 is equivalent to 1.36.0 in the original repository. Thank you Mapbox for the many years of early support.

Intent

The goal of Tippecanoe is to enable making a scale-independent view of your data, so that at any level from the entire world to a single building, you can see the density and texture of the data rather than a simplification from dropping supposedly unimportant features or clustering or aggregating them.

If you give it all of OpenStreetMap and zoom out, it should give you back something that looks like “All Streets” rather than something that looks like an Interstate road atlas.

If you give it all the building footprints in Los Angeles and zoom out far enough that most individual buildings are no longer discernable, you should still be able to see the extent and variety of development in every neighborhood, not just the largest downtown buildings.

If you give it a collection of years of tweet locations, you should be able to see the shape and relative popularity of every point of interest and every significant travel corridor.

Installation

The easiest way to install tippecanoe on OSX is with Homebrew:

$ brew install tippecanoe

On Ubuntu it will usually be easiest to build from the source repository:

$ git clone https://github.com/felt/tippecanoe.git
$ cd tippecanoe
$ make -j
$ make install

See Development below for how to upgrade your C++ compiler or install prerequisite packages if you get compiler errors.

Usage

$ tippecanoe -o file.mbtiles [options] [file.json file.json.gz file.fgb ...]

If no files are specified, it reads GeoJSON from the standard input. If multiple files are specified, each is placed in its own layer.

The GeoJSON features need not be wrapped in a FeatureCollection. You can concatenate multiple GeoJSON features or files together, and it will parse out the features and ignore whatever other objects it encounters.

Try this first

If you aren’t sure what options to use, try this:

$ tippecanoe -zg -o out.mbtiles --drop-densest-as-needed in.geojson

The -zg option will make Tippecanoe choose a maximum zoom level that should be high enough to reflect the precision of the original data. (If it turns out still not to be as detailed as you want, use -z manually with a higher number.)

If the tiles come out too big, the --drop-densest-as-needed option will make Tippecanoe try dropping what should be the least visible features at each zoom level. (If it drops too many features, use -x to leave out some feature attributes that you didn’t really need.)

Examples

Create a tileset of TIGER roads for Alameda County, to zoom level 13, with a custom layer name and description:

$ tippecanoe -o alameda.mbtiles -l alameda -n "Alameda County from TIGER" -z13 tl_2014_06001_roads.json

Create a tileset of all TIGER roads, at only zoom level 12, but with higher detail than normal, with a custom layer name and description, and leaving out the LINEARID and RTTYP attributes:

$ cat tiger/tl_2014_*_roads.json | tippecanoe -o tiger.mbtiles -l roads -n "All TIGER roads, one zoom" -z12 -Z12 -d14 -x LINEARID -x RTTYP

Cookbook

Linear features (world railroads), visible at all zoom levels

curl -L -O https://www.naturalearthdata.com/http//www.naturalearthdata.com/download/10m/cultural/ne_10m_railroads.zip
unzip ne_10m_railroads.zip
ogr2ogr -f GeoJSON ne_10m_railroads.geojson ne_10m_railroads.shp

tippecanoe -zg -o ne_10m_railroads.mbtiles --drop-densest-as-needed --extend-zooms-if-still-dropping ne_10m_railroads.geojson

• -zg: Automatically choose a maxzoom that should be sufficient to clearly distinguish the features and the detail within each feature
• --drop-densest-as-needed: If the tiles are too big at low zoom levels, drop the least-visible features to allow tiles to be created with those features that remain
• --extend-zooms-if-still-dropping: If even the tiles at high zoom levels are too big, keep adding zoom levels until one is reached that can represent all the features

Discontinuous polygon features (buildings of Rhode Island), visible at all zoom levels

curl -L -O https://usbuildingdata.blob.core.windows.net/usbuildings-v1-1/RhodeIsland.zip
unzip RhodeIsland.zip

tippecanoe -zg -o RhodeIsland.mbtiles --drop-densest-as-needed --extend-zooms-if-still-dropping RhodeIsland.geojson

• -zg: Automatically choose a maxzoom that should be sufficient to clearly distinguish the features and the detail within each feature
• --drop-densest-as-needed: If the tiles are too big at low or medium zoom levels, drop the least-visible features to allow tiles to be created with those features that remain
• --extend-zooms-if-still-dropping: If even the tiles at high zoom levels are too big, keep adding zoom levels until one is reached that can represent all the features

Continuous polygon features (states and provinces), visible at all zoom levels

curl -L -O https://www.naturalearthdata.com/http//www.naturalearthdata.com/download/10m/cultural/ne_10m_admin_1_states_provinces.zip
unzip -o ne_10m_admin_1_states_provinces.zip
ogr2ogr -f GeoJSON ne_10m_admin_1_states_provinces.geojson ne_10m_admin_1_states_provinces.shp

tippecanoe -zg -o ne_10m_admin_1_states_provinces.mbtiles --coalesce-densest-as-needed --extend-zooms-if-still-dropping ne_10m_admin_1_states_provinces.geojson

• -zg: Automatically choose a maxzoom that should be sufficient to clearly distinguish the features and the detail within each feature
• --coalesce-densest-as-needed: If the tiles are too big at low or medium zoom levels, merge as many features together as are necessary to allow tiles to be created with those features that are still distinguished
• --extend-zooms-if-still-dropping: If even the tiles at high zoom levels are too big, keep adding zoom levels until one is reached that can represent all the features

Large point dataset (GPS bus locations), for visualization at all zoom levels

curl -L -O ftp://avl-data.sfmta.com/avl_data/avl_raw/sfmtaAVLRawData01012013.csv
sed 's/PREDICTABLE.*/PREDICTABLE/' sfmtaAVLRawData01012013.csv > sfmta.csv
tippecanoe -zg -o sfmta.mbtiles --drop-densest-as-needed --extend-zooms-if-still-dropping sfmta.csv

(The sed line is to clean the corrupt CSV header, which contains the wrong number of fields.)

• -zg: Automatically choose a maxzoom that should be sufficient to clearly distinguish the features and the detail within each feature
• --drop-densest-as-needed: If the tiles are too big at low or medium zoom levels, drop the least-visible features to allow tiles to be created with those features that remain
• --extend-zooms-if-still-dropping: If even the tiles at high zoom levels are too big, keep adding zoom levels until one is reached that can represent all the features

Clustered points (world cities), summing the clustered population, visible at all zoom levels

curl -L -O https://www.naturalearthdata.com/http//www.naturalearthdata.com/download/10m/cultural/ne_10m_populated_places.zip
unzip -o ne_10m_populated_places.zip
ogr2ogr -f GeoJSON ne_10m_populated_places.geojson ne_10m_populated_places.shp

tippecanoe -zg -o ne_10m_populated_places.mbtiles -r1 --cluster-distance=10 --accumulate-attribute=POP_MAX:sum ne_10m_populated_places.geojson

• -zg: Automatically choose a maxzoom that should be sufficient to clearly distinguish the features and the detail within each feature
• -r1: Do not automatically drop a fraction of points at low zoom levels, since clustering will be used instead
• --cluster-distance=10: Cluster together features that are closer than about 10 pixels from each other
• --accumulate-attribute=POP_MAX:sum: Sum the POP_MAX (population) attribute in features that are clustered together. Other attributes will be arbitrarily taken from the first feature in the cluster.

Show countries at low zoom levels but states at higher zoom levels

curl -L -O https://www.naturalearthdata.com/http//www.naturalearthdata.com/download/10m/cultural/ne_10m_admin_0_countries.zip
unzip ne_10m_admin_0_countries.zip
ogr2ogr -f GeoJSON ne_10m_admin_0_countries.geojson ne_10m_admin_0_countries.shp

curl -L -O https://www.naturalearthdata.com/http//www.naturalearthdata.com/download/10m/cultural/ne_10m_admin_1_states_provinces.zip
unzip -o ne_10m_admin_1_states_provinces.zip
ogr2ogr -f GeoJSON ne_10m_admin_1_states_provinces.geojson ne_10m_admin_1_states_provinces.shp

tippecanoe -z3 -o countries-z3.mbtiles --coalesce-densest-as-needed ne_10m_admin_0_countries.geojson
tippecanoe -zg -Z4 -o states-Z4.mbtiles --coalesce-densest-as-needed --extend-zooms-if-still-dropping ne_10m_admin_1_states_provinces.geojson
tile-join -o states-countries.mbtiles countries-z3.mbtiles states-Z4.mbtiles

Countries:

• -z3: Only generate zoom levels 0 through 3
• --coalesce-densest-as-needed: If the tiles are too big at low or medium zoom levels, merge as many features together as are necessary to allow tiles to be created with those features that are still distinguished

States and Provinces:

• -Z4: Only generate zoom levels 4 and beyond
• -zg: Automatically choose a maxzoom that should be sufficient to clearly distinguish the features and the detail within each feature
• --coalesce-densest-as-needed: If the tiles are too big at low or medium zoom levels, merge as many features together as are necessary to allow tiles to be created with those features that are still distinguished
• --extend-zooms-if-still-dropping: If even the tiles at high zoom levels are too big, keep adding zoom levels until one is reached that can represent all the features

Represent multiple sources (Illinois and Indiana counties) as separate layers

curl -L -O https://www2.census.gov/geo/tiger/TIGER2010/COUNTY/2010/tl_2010_17_county10.zip
unzip tl_2010_17_county10.zip
ogr2ogr -f GeoJSON tl_2010_17_county10.geojson tl_2010_17_county10.shp

curl -L -O https://www2.census.gov/geo/tiger/TIGER2010/COUNTY/2010/tl_2010_18_county10.zip
unzip tl_2010_18_county10.zip
ogr2ogr -f GeoJSON tl_2010_18_county10.geojson tl_2010_18_county10.shp

tippecanoe -zg -o counties-separate.mbtiles --coalesce-densest-as-needed --extend-zooms-if-still-dropping tl_2010_17_county10.geojson tl_2010_18_county10.geojson

• -zg: Automatically choose a maxzoom that should be sufficient to clearly distinguish the features and the detail within each feature
• --coalesce-densest-as-needed: If the tiles are too big at low or medium zoom levels, merge as many features together as are necessary to allow tiles to be created with those features that are still distinguished
• --extend-zooms-if-still-dropping: If even the tiles at high zoom levels are too big, keep adding zoom levels until one is reached that can represent all the features

Merge multiple sources (Illinois and Indiana counties) into the same layer

curl -L -O https://www2.census.gov/geo/tiger/TIGER2010/COUNTY/2010/tl_2010_17_county10.zip
unzip tl_2010_17_county10.zip
ogr2ogr -f GeoJSON tl_2010_17_county10.geojson tl_2010_17_county10.shp

curl -L -O https://www2.census.gov/geo/tiger/TIGER2010/COUNTY/2010/tl_2010_18_county10.zip
unzip tl_2010_18_county10.zip
ogr2ogr -f GeoJSON tl_2010_18_county10.geojson tl_2010_18_county10.shp

tippecanoe -zg -o counties-merged.mbtiles -l counties --coalesce-densest-as-needed --extend-zooms-if-still-dropping tl_2010_17_county10.geojson tl_2010_18_county10.geojson

As above, but

• -l counties: Specify the layer name instead of letting it be derived from the source file names

Selectively remove and replace features (Census tracts) to update a tileset

# Retrieve and tile California 2000 Census tracts
curl -L -O https://www2.census.gov/geo/tiger/TIGER2010/TRACT/2000/tl_2010_06_tract00.zip
unzip tl_2010_06_tract00.zip
ogr2ogr -f GeoJSON tl_2010_06_tract00.shp.json tl_2010_06_tract00.shp
tippecanoe -z11 -o tracts.mbtiles -l tracts tl_2010_06_tract00.shp.json

# Create a copy of the tileset, minus Alameda County (FIPS code 001)
tile-join -j '{"*":["none",["==","COUNTYFP00","001"]]}' -f -o tracts-filtered.mbtiles tracts.mbtiles

# Retrieve and tile Alameda County Census tracts for 2010
curl -L -O https://www2.census.gov/geo/tiger/TIGER2010/TRACT/2010/tl_2010_06001_tract10.zip
unzip tl_2010_06001_tract10.zip
ogr2ogr -f GeoJSON tl_2010_06001_tract10.shp.json tl_2010_06001_tract10.shp
tippecanoe -z11 -o tracts-added.mbtiles -l tracts tl_2010_06001_tract10.shp.json

# Merge the filtered tileset and the tileset of new tracts into a final tileset
tile-join -o tracts-final.mbtiles tracts-filtered.mbtiles tracts-added.mbtiles

The -z11 option explicitly specifies the maxzoom, to make sure both the old and new tilesets have the same zoom range.

The -j option to tile-join specifies a filter, so that only the desired features will be copied to the new tileset. This filter excludes (using none) any features whose FIPS code (COUNTYFP00) is the code for Alameda County (001).

Options

There are a lot of options. A lot of the time you won’t want to use any of them other than -o output.mbtiles to name the output file, and probably -f to delete the file that already exists with that name.

If you aren’t sure what the right maxzoom is for your data, -zg will guess one for you based on the density of features.

Tippecanoe will normally drop a fraction of point features at zooms below the maxzoom, to keep the low-zoom tiles from getting too big. If you have a smaller data set where all the points would fit without dropping any of them, use -r1 to keep them all. If you do want point dropping, but you still want the tiles to be denser than -zg thinks they should be, use -B to set a basezoom lower than the maxzoom.

If some of your tiles are coming out too big in spite of the settings above, you will often want to use --drop-densest-as-needed to drop whatever fraction of the features is necessary at each zoom level to make that zoom level’s tiles work.

If your features have a lot of attributes, use -y to keep only the ones you really need.

If your input is formatted as newline-delimited GeoJSON, use -P to make input parsing a lot faster.

Output tileset

• -o file.mbtiles, file.pmtiles or --output=file.mbtiles: Name the output file.
• -e directory or --output-to-directory=directory: Write tiles to the specified directory instead of to an mbtiles file.
• -f or --force: Delete the mbtiles file if it already exists instead of giving an error
• -F or --allow-existing: Proceed (without deleting existing data) if the metadata or tiles table already exists or if metadata fields can’t be set. You probably don’t want to use this.

Tileset description and attribution

• -n name or --name=name: Human-readable name for the tileset (default file.json)
• -A text or --attribution=text: Attribution (HTML) to be shown with maps that use data from this tileset.
• -N description or --description=description: Description for the tileset (default file.mbtiles)

Input files and layer names

• name.json or name.geojson: Read the named GeoJSON input file into a layer called name.
• name.json.gz or name.geojson.gz: Read the named gzipped GeoJSON input file into a layer called name.
• name.fgb: Read the named FlatGeobuf input file into a layer called name.
• name.csv: Read the named CSV input file into a layer called name.
• -l name or --layer=name: Use the specified layer name instead of deriving a name from the input filename or output tileset. If there are multiple input files specified, the files are all merged into the single named layer, even if they try to specify individual names with -L.
• -L name:file.json or --named-layer=name:file.json: Specify layer names for individual files. If your shell supports it, you can use a subshell redirect like -L name:<(cat dir/*.json) to specify a layer name for the output of streamed input.
• -L{layer-json} or --named-layer={layer-json}: Specify an input file and layer options by a JSON object. The JSON object must contain a "file" key to specify the filename to read from. (If the "file" key is an empty string, it means to read from the standard input stream.) It may also contain a "layer" field to specify the name of the layer, and/or a "description" field to specify the layer’s description in the tileset metadata, and/or a "format" field to specify csv or fgb file format if it is not obvious from the name. Example:

tippecanoe -z5 -o world.mbtiles -L'{"file":"ne_10m_admin_0_countries.json", "layer":"countries", "description":"Natural Earth countries"}'

CSV input files currently support only Point geometries, from columns named latitude, longitude, lat, lon, long, lng, x, or y.

Parallel processing of input

• -P or --read-parallel: Use multiple threads to read different parts of each GeoJSON input file at once. This will only work if the input is line-delimited JSON with each Feature on its own line, because it knows nothing of the top-level structure around the Features. Spurious “EOF” error messages may result otherwise. Performance will be better if the input is a named file that can be mapped into memory rather than a stream that can only be read sequentially.

If the input file begins with the RFC 8142 record separator, parallel processing of input will be invoked automatically, splitting at record separators rather than at all newlines.

Parallel processing will also be automatic if the input file is in FlatGeobuf format.

Projection of input

• -s projection or --projection=projection: Specify the projection of the input data. Currently supported are EPSG:4326 (WGS84, the default) and EPSG:3857 (Web Mercator). In general you should use WGS84 for your input files if at all possible.

Zoom levels

• -z zoom or --maximum-zoom=zoom: Maxzoom: the highest zoom level for which tiles are generated (default 14)
• -zg or --maximum-zoom=g: Guess what is probably a reasonable maxzoom based on the spacing of features.
• --smallest-maximum-zoom-guess=zoom: Guess what is probably a reasonable maxzoom based on the spacing of features, but using the specified zoom if a lower maxzoom is guessed. If -Bg 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.
• -Z zoom or --minimum-zoom=zoom: Minzoom: the lowest zoom level for which tiles are generated (default 0)
• -ae or --extend-zooms-if-still-dropping: Increase the maxzoom if features are still being dropped at that zoom level. The detail and simplification options that ordinarily apply only to the maximum zoom level will apply both to the originally specified maximum zoom and to any levels added beyond that.
• --extend-zooms-if-still-dropping-maximum=count: Increase the maxzoom if features are still being dropped at that zoom level by up to count zoom levels.
• -at or --generate-variable-depth-tile-pyramid: Don’t produce child tiles for any tile that should be sufficient to be overzoomed to any higher zoom level. Such tiles will be produced with maximum detail and no simplification or polygon cleaning. Tiles with point features below the basezoom or where any features have to be dropped dynamically, or which contain too many features or bytes with full detail, will be written out with normal detail and split into child tiles. Tilesets generated with this option are suitable for use only with tile servers that will find the appropriate tile to overzoom from and will simplify and clean the geometries appropriately before serving the tile.
• -R zoom/x/y or --one-tile=zoom/x/y: Set the minzoom and maxzoom to zoom and produce only the single specified tile at that zoom level.

If you know the precision to which you want your data to be represented, or the map scale of a corresponding printed map, this table shows the approximate precision and scale corresponding to various -z options if you use the default -d detail of 12:

zoom level	precision (ft)	precision (m)	map scale
-z0	32000 ft	10000 m	1:320,000,000
-z1	16000 ft	5000 m	1:160,000,000
-z2	8000 ft	2500 m	1:80,000,000
-z3	4000 ft	1250 m	1:40,000,000
-z4	2000 ft	600 m	1:20,000,000
-z5	1000 ft	300 m	1:10,000,000
-z6	500 ft	150 m	1:5,000,000
-z7	250 ft	80 m	1:2,500,000
-z8	125 ft	40 m	1:1,250,000
-z9	64 ft	20 m	1:640,000
-z10	32 ft	10 m	1:320,000
-z11	16 ft	5 m	1:160,000
-z12	8 ft	2 m	1:80,000
-z13	4 ft	1 m	1:40,000
-z14	2 ft	0.5 m	1:20,000
-z15	1 ft	0.25 m	1:10,000
-z16	6 in	15 cm	1:5000
-z17	3 in	8 cm	1:2500
-z18	1.5 in	4 cm	1:1250
-z19	0.8 in	2 cm	1:600
-z20	0.4 in	1 cm	1:300
-z21	0.4 in	1 cm	1:300
-z22	0.4 in	1 cm	1:300

Tile resolution

• -d detail or --full-detail=detail: Detail at max zoom level (default 12, for tile resolution of 2^12=4096)
• -D detail or --low-detail=detail: Detail at lower zoom levels (default 12, for tile resolution of 2^12=4096)
• -m detail or --minimum-detail=detail: Minimum detail that it will try if tiles are too big at regular detail (default 7)
• --extra-detail=detail: Generate tiles with even more detail than the “full” detail at the max zoom level, to maximize location precision. These tiles may not work with some rendering software that internally limits detail to 12 or 13. The extra detail does not affect the choice of maxzoom guessing, the amount of simplification, or the “tiny polygon” threshold as --full-detail does. The tiles should look the same as they did without it, except that they will be more precise when overzoomed.

All internal math is done in terms of a 32-bit tile coordinate system, so 1/(2^32) of the size of Earth, or about 1cm, is the smallest distinguishable distance. If maxzoom + detail > 32, no additional resolution is obtained than by using a smaller maxzoom or detail, and the detail of tiles will be reduced to the maximum that can be used with the specified maxzoom.

Filtering feature attributes

• -x name or --exclude=name: Exclude the named attributes from all features. You can specify multiple -x options to exclude several attributes. (Don’t comma-separate names within a single -x.)
• -y name or --include=name: Include the named attributes in all features, excluding all those not explicitly named. You can specify multiple -y options to explicitly include several attributes. (Don’t comma-separate names within a single -y.)
• -X or --exclude-all: Exclude all attributes and encode only geometries

Modifying feature attributes

• -Tattribute:type or --attribute-type=attribute:type: Coerce the named feature attribute to be of the specified type. The type may be string, float, int, or bool. If the type is bool, then original attributes of 0 (or, if numeric, 0.0, etc.), false, null, or the empty string become false, and otherwise become true. If the type is float or int and the original attribute was non-numeric, it becomes 0. If the type is int and the original attribute was floating-point, it is rounded to the nearest integer.
• -Yattribute:description or --attribute-description=attribute:description: Set the description for the specified attribute in the tileset metadata to description instead of the usual String, Number, or Boolean.
• -Eattribute:operation or --accumulate-attribute=attribute:operation: Preserve the named attribute from features that are dropped, coalesced-as-needed, or clustered. The operation may be sum, product, mean, max, min, concat, or comma to specify how the named attribute is accumulated onto the attribute of the same name in a feature that does survive. The attributes and operations may also be specified as JSON keys and values: --accumulate-attribute='{"attr": "operation", "attr2": "operation2"}'.
• --set-attribute attribute:value: Set the value of the specified attribute in each feature to the specified value. This is mostly useful to give an attribute in each feature an initial value for --accumulate-attribute. The attributes and values may also be specified as JSON keys and values: --set-attribute='{"attr": value, "attr2": value}'.
• -pe or --empty-csv-columns-are-null: Treat empty CSV columns as nulls rather than as empty strings.
• -aI or --convert-stringified-ids-to-numbers: If a feature ID is the string representation of a number, convert it to a plain number to use as the feature ID.
• --use-attribute-for-id=name: Use the attribute with the specified name as if it were specified as the feature ID. (If this attribute is a stringified number, you must also use -aI to convert it to a number.)
• -pN or --single-precision: Write double-precision numeric attribute values to tiles as single-precision to reduce tile size.
• --maximum-string-attribute-length=length: Truncate string attributes that exceed the specified length in bytes.

Filtering features by attributes

• -j filter or --feature-filter=filter: Check features against a per-layer filter (as defined in the Mapbox GL Style Specification or in a Felt filter specification still to be finalized) and only include those that match. Any features in layers that have no filter specified will be passed through. Filters for the layer "*" apply to all layers. The special variable $zoom refers to the current zoom level.
• -J filter-file or --feature-filter-file=filter-file: Like -j, but read the filter from a file.

Example: to find the Natural Earth countries with low scalerank but high LABELRANK:

tippecanoe -z5 -o filtered.mbtiles -j '{ "ne_10m_admin_0_countries": [ "all", [ "<", "scalerank", 3 ], [ ">", "LABELRANK", 5 ] ] }' ne_10m_admin_0_countries.geojson

Example: to retain only major TIGER roads at low zoom levels:

tippecanoe -o roads.mbtiles -j '{ "*": [ "any", [ ">=", "$zoom", 11 ], [ "in", "MTFCC", "S1100", "S1200" ] ] }' tl_2015_06001_roads.json

Tippecanoe also accepts expressions of the form [ "attribute-filter", name, expression ], to filter individual feature attributes instead of entire features. For example, you can exclude the road names at low zoom levels by doing

tippecanoe -o roads.mbtiles -j '{ "*": [ "attribute-filter", "FULLNAME", [ ">=", "$zoom", 9 ] ] }' tl_2015_06001_roads.json

An attribute-filter expression itself is always considered to evaluate to true (in other words, to retain the feature instead of dropping it). If you want to use multiple attribute-filter expressions, or to use other expressions to remove features from the same layer, enclose them in an all expression so they will all be evaluated.

Dropping a fixed fraction of features by zoom level

• -r rate or --drop-rate=rate: Rate at which dots are dropped at zoom levels below basezoom (default 2.5). If you use -rg, it will guess a drop rate that will keep at most 50,000 features in the densest tile. You can also specify a marker-width with -rgwidth to allow fewer features in the densest tile to compensate for the larger marker, or -rfnumber to allow at most number features in the densest tile. If you use -rp with -zg or --smallest-maximum-zoom-guess it will choose a drop rate from the same distance-between-features metrics as are used to choose the maxzoom.
• -B zoom or --base-zoom=zoom: Base zoom, the level at and above which all points are included in the tiles (default maxzoom). If you use -Bg, it will guess a zoom level that will keep at most 50,000 features in the densest tile. You can also specify a marker-width with -Bgwidth to allow fewer features in the densest tile to compensate for the larger marker, or -Bfnumber to allow at most number features in the densest tile.
• --retain-points-multiplier=multiple: Retain the specified multiple of points instead of just the number of points that would ordinarily be retained by the drop rate. These can be thinned out later with the -m option to tippecanoe-overzoom. The start of each cluster is marked in the feature sequence by the tippecanoe:retain_points_multiplier_first attribute. The --tile-size-limit will also be extended at low zoom levels to allow for the multiplied features.
• --drop-denser=percentage: When dropping dots at zoom levels below the base zoom, give the specified percentage preference to retaining points in sparse areas and dropping points in dense areas.
• --limit-base-zoom-to-maximum-zoom or -Pb: Limit the guessed base zoom not to exceed the maxzoom, even if this would put more than the requested number of features in a base zoom tile.
• -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.
• --preserve-point-density-threshold=level: At the low zoom levels, do not reduce point density below the specified level, even if the specified drop rate would normally call for it, so that low-density areas of the map do not appear blank. The unit is the distance between preserved points, as a fraction of the size of a tile. Values of 32 or 64 are probably appropriate for typical marker sizes.

Dropping a fraction of features to keep under tile size limits

• -as or --drop-densest-as-needed: If a tile is too large, try to reduce it to under 500K by increasing the minimum spacing between features. The discovered spacing applies to the entire zoom level.
• -ad or --drop-fraction-as-needed: Dynamically drop some fraction of features from each zoom level to keep large tiles under the 500K size limit. (This is like -pd but applies to the entire zoom level, not to each tile.)
• -an or --drop-smallest-as-needed: Dynamically drop the smallest features (physically smallest: the shortest lines or the smallest polygons) from each zoom level to keep large tiles under the 500K size limit.
• -aN or --coalesce-smallest-as-needed: Dynamically combine the smallest features (physically smallest: the shortest lines or the smallest polygons or the densest points) from each zoom level into other nearby features to keep large tiles under the 500K size limit. This option 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 not preserved into the combined features (except through --accumulate-attribute), only their geometry. Furthermore, the polygons to which nested polygons are coalesced may not necessarily be the immediately enclosing features.
• -aD or --coalesce-densest-as-needed: 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.)
• -aS or --coalesce-fraction-as-needed: 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.)
• -pd or --force-feature-limit: 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 -ad but applies to each tile individually, not to the entire zoom level.) You probably don’t want to use this.
• -aC or --cluster-densest-as-needed: 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 "clustered": true attribute to indicate that it represents a cluster, a "point_count" attribute to indicate the number of features that were clustered into it, and a "sqrt_point_count" attribute to indicate the relative width of a feature to represent the cluster. If the features being clustered are points, the representative feature will be located at the average of the original points’ locations; otherwise, one of the original features will be left as the representative.

Dropping tightly overlapping features

• -g gamma or --gamma=gamma: Rate at which especially dense dots are dropped (default 0, for no effect). A gamma of 2 reduces the number of dots less than a pixel apart to the square root of their original number.
• -aG or --increase-gamma-as-needed: If a tile is too large, try to reduce it to under 500K by increasing the -g gamma. The discovered gamma applies to the entire zoom level. You probably want to use --drop-densest-as-needed instead.

Line and polygon simplification

• -S scale or --simplification=scale: Multiply the tolerance for line and polygon simplification by scale. The standard tolerance tries to keep the line or polygon within one tile unit of its proper location. You can probably go up to about 10 without too much visible difference.
• -ps or --no-line-simplification: Don’t simplify lines and polygons
• -pS or --simplify-only-low-zooms: Don’t simplify lines and polygons at maxzoom (but do simplify at lower zooms)
• --simplification-at-maximum-zoom=scale: Use the specified scale at maxzoom instead of the standard simplification scale (which still applies at lower zooms)
• -pn or --no-simplification-of-shared-nodes: Don’t simplify away nodes at which LineStrings or Polygon rings converge, diverge, or cross. (This will not be effective if you also use --coalesce.) In between intersection nodes, LineString segments or polygon edges will be simplified identically in each feature if possible. Use this instead of --detect-shared-borders.
• -pt or --no-tiny-polygon-reduction: Don’t combine the area of very small polygons into small squares that represent their combined area.
• -pT or --no-tiny-polygon-reduction-at-maximum-zoom: Combine the area of very small polygons into small squares that represent their combined area only at zoom levels below the maximum.
• --tiny-polygon-size=size: Use the specified size for tiny polygons instead of the default 2. Anything above 6 or so will lead to visible artifacts with the default tile detail.
• -av or --visvalingam: Use Visvalingam’s simplification algorithm rather than Douglas-Peucker’s.

Attempts to improve shared polygon boundaries

• -ab or --detect-shared-borders: DEPRECATED. In the manner of TopoJSON, detect borders that are shared between multiple polygons and simplify them identically in each polygon. This takes more time and memory than considering each polygon individually. Use no-simplification-of-shared-nodes instead, which is faster and more correct.
• -aL or --grid-low-zooms: At all zoom levels below maxzoom, snap all lines and polygons to a stairstep grid instead of allowing diagonals. You will also want to specify a tile resolution, probably -D8. This option provides a way to display continuous parcel, gridded, or binned data at low zooms without overwhelming the tiles with tiny polygons, since features will either get stretched out to the grid unit or lost entirely, depending on how they happened to be aligned in the original data. You probably don’t want to use this.

Controlling clipping to tile boundaries

• -b pixels or --buffer=pixels: Buffer size where features are duplicated from adjacent tiles. Units are “screen pixels”—1/256th of the tile width or height. (default 5)
• -pc or --no-clipping: Don’t clip features to the size of the tile. If a feature overlaps the tile’s bounds or buffer at all, it is included completely. Be careful: this can produce very large tilesets, especially with large polygons.
• -pD or --no-duplication: As with --no-clipping, each feature is included intact instead of cut to tile boundaries. In addition, it is included only in a single tile per zoom level rather than potentially in multiple copies. Clients of the tileset must check adjacent tiles (possibly some distance away) to ensure they have all features.

Reordering features within each tile

• -pi or --preserve-input-order: Preserve the original input order of features as the drawing order instead of ordering geographically. (This is implemented as a restoration of the original order at the end, so that dot-dropping is still geographic, which means it also undoes -ao).
• -ac or --coalesce: Coalesce consecutive features that have the same attributes. This can be useful if you have lots of small polygons with identical attributes and you would like to merge them together.
• -ao or --reorder: Reorder features to put ones with the same attributes in sequence (instead of ones that are approximately spatially adjacent), to try to get them to coalesce. You probably want to use this if you use --coalesce.
• -ar or --reverse: Try reversing the directions of lines to make them coalesce and compress better. You probably don’t want to use this.
• -ah or --hilbert: Put features in Hilbert Curve order instead of the usual Z-Order. This improves the odds that spatially adjacent features will be sequentially adjacent, and should improve density calculations and spatial coalescing. It should be the default eventually.
• --order-by=attribute: Order features by the specified attribute, in alphabetical or numerical order. Multiple --order-by and --order-descending-by options may be specified, the first being the primary sort key.
• --order-descending-by=attribute: Order features by the specified attribute, in reverse alphabetical or numerical order. Multiple --order-by and --order-descending-by options may be specified, the first being the primary sort key.
• --order-smallest-first: Order features so the smallest geometry comes first in each tile. Multiple --order-by and --order-descending-by options may be specified, the first being the primary sort key.
• --order-largest-first: Order features so the largest geometry comes first in each tile. Multiple --order-by and --order-descending-by options may be specified, the first being the primary sort key.

Adding calculated attributes

• -ag or --calculate-feature-density: Add a new attribute, tippecanoe_feature_density, to each feature, to record how densely features are spaced in that area of the tile. You can use this attribute in the style to produce a glowing effect where points are densely packed. It can range from 0 in the sparsest areas to 255 in the densest.
• -ai or --generate-ids: Add an id (a feature ID, not an attribute named id) to each feature that does not already have one. There is currently no guarantee that the id added will be stable between runs or that it will not conflict with manually-assigned feature IDs. Future versions of Tippecanoe may change the mechanism for allocating IDs.
• -aX or --calculate-feature-index: Add a tippecanoe:index field to each feature, giving its index in the quadkey or hilbert sequence.

Trying to correct bad source geometry

• -aw or --detect-longitude-wraparound: Detect when consecutive points within a feature jump to the other side of the world, and try to fix the geometry.
• -pw or --use-source-polygon-winding: Instead of respecting GeoJSON polygon ring order, use the original polygon winding in the source data to distinguish inner (clockwise) and outer (counterclockwise) polygon rings.
• -pW or --reverse-source-polygon-winding: Instead of respecting GeoJSON polygon ring order, use the opposite of the original polygon winding in the source data to distinguish inner (counterclockwise) and outer (clockwise) polygon rings.
• --clip-bounding-box=minlon,minlat,maxlon,maxlat: Clip all features to the specified bounding box.
• -aP or --convert-polygons-to-label-points: Replace polygon geometries with a label point or points for the polygon in each tile it intersects.

Setting or disabling tile size limits

• -M bytes or --maximum-tile-bytes=bytes: Use the specified number of bytes as the maximum compressed tile size instead of 500K.
• -O features or --maximum-tile-features=features: Use the specified number of features as the maximum in a tile instead of 200,000.
• --limit-tile-feature-count=features: Abruptly limit each tile to the specified number of features, after ordering them if specified.
• --limit-tile-feature-count-at-maximum-zoom=features: Abruptly limit each tile at the maximum zoom level to the specified number of features, after ordering them if specified.
• -pf or --no-feature-limit: Don’t limit tiles to 200,000 features
• -pk or --no-tile-size-limit: Don’t limit tiles to 500K bytes
• -pC or --no-tile-compression: Don’t compress the PBF vector tile data. If you are getting “Unimplemented type 3” error messages from a renderer, it is probably because it expects uncompressed tiles using this option rather than the normal gzip-compressed tiles.
• -pg or --no-tile-stats: Don’t generate the tilestats row in the tileset metadata. Uploads without tilestats will take longer to process.
• --tile-stats-attributes-limit=count: Include tilestats information about at most count attributes instead of the default 1000.
• --tile-stats-sample-values-limit=count: Calculate tilestats attribute statistics based on count values instead of the default 1000.
• --tile-stats-values-limit=count: Report count unique attribute values in tilestats instead of the default 100.

Temporary storage

• -t directory or --temporary-directory=directory: Put the temporary files in directory. If you don’t specify, it will use /tmp.

Progress indicator

• -q or --quiet: Work quietly instead of reporting progress or warning messages
• -Q or --no-progress-indicator: Don’t report progress, but still give warnings
• -U seconds or --progress-interval=seconds: Don’t report progress more often than the specified number of seconds.
• -u or --json-progress: like -quiet but logs progress as a JSON object. Use in combination with -U.
• -v or --version: Report Tippecanoe’s version number

Filters

• -C command or --prefilter=command: Specify a shell filter command to be run at the start of assembling each tile
• -c command or --postfilter=command: Specify a shell filter command to be run at the end of assembling each tile

The pre- and post-filter commands allow you to do optional filtering or transformation on the features of each tile as it is created. They are shell commands, run with the zoom level, X, and Y as the $1, $2, and $3 arguments. Future versions of Tippecanoe may add additional arguments for more context.

The features are provided to the filter as a series of newline-delimited GeoJSON objects on the standard input, and tippecanoe expects to read another set of GeoJSON features from the filter’s standard output.

The prefilter receives the features at the highest available resolution, before line simplification, polygon topology repair, gamma calculation, dynamic feature dropping, or other internal processing. The postfilter receives the features at tile resolution, after simplification, cleaning, and dropping.

The layer name is provided as part of the tippecanoe element of the feature and must be passed through to keep the feature in its correct layer. In the case of the prefilter, the tippecanoe element may also contain index, sequence, extent, and dropped, elements, which must be passed through for internal operations like --drop-densest-as-needed, --drop-smallest-as-needed, and --preserve-input-order to work.

Examples:

• Make a tileset of the Natural Earth countries to zoom level 5, and also copy the GeoJSON features to files in a tiles/z/x/y.geojson directory hierarchy.

tippecanoe -o countries.mbtiles -z5 -C 'mkdir -p tiles/$1/$2; tee tiles/$1/$2/$3.geojson' ne_10m_admin_0_countries.json

• Make a tileset of the Natural Earth countries to zoom level 5, but including only those tiles that intersect the bounding box of Germany. (The limit-tiles-to-bbox script is in the Tippecanoe source directory.)

tippecanoe -o countries.mbtiles -z5 -C './filters/limit-tiles-to-bbox 5.8662 47.2702 15.0421 55.0581 $*' ne_10m_admin_0_countries.json

• Make a tileset of TIGER roads in Tippecanoe County, leaving out all but primary and secondary roads (as classified by TIGER) below zoom level 11.

tippecanoe -o roads.mbtiles -c 'if [ $1 -lt 11 ]; then grep "\"MTFCC\": \"S1[12]00\""; else cat; fi' tl_2016_18157_roads.json

Environment

Tippecanoe ordinarily uses as many parallel threads as the operating system claims that CPUs are available. You can override this number by setting the TIPPECANOE_MAX_THREADS environmental variable.

GeoJSON extension

Tippecanoe defines a GeoJSON extension that you can use to specify the minimum and/or maximum zoom level at which an individual feature will be included in the vector tileset being produced. If you have a feature like this:

{
"type" : "Feature",
"tippecanoe" : { "maxzoom" : 9, "minzoom" : 4 },
"properties" : { "FULLNAME" : "N Vasco Rd" },
"geometry" : {
"type" : "LineString",
"coordinates" : [ [ -121.733350, 37.767671 ], [ -121.733600, 37.767483 ], [ -121.733131, 37.766952 ] ]
}
}

with a tippecanoe object specifiying a maxzoom of 9 and a minzoom of 4, the feature will only appear in the vector tiles for zoom levels 4 through 9. Note that the tippecanoe object belongs to the Feature, not to its properties. If you specify a minzoom for a feature, it will be preserved down to that zoom level even if dot-dropping with -r would otherwise have dropped it.

You can also specify a layer name in the tippecanoe object, which will take precedence over the filename or name specified using --layer, like this:

{
"type" : "Feature",
"tippecanoe" : { "layer" : "streets" },
"properties" : { "FULLNAME" : "N Vasco Rd" },
"geometry" : {
"type" : "LineString",
"coordinates" : [ [ -121.733350, 37.767671 ], [ -121.733600, 37.767483 ], [ -121.733131, 37.766952 ] ]
}
}

If your source GeoJSON only has minzoom, maxzoom and/or layer within properties you can use ndjson-cli to move them into the required tippecanoe object by piping the GeoJSON like this:

ndjson-map 'd.tippecanoe = { minzoom: d.properties.minzoom, maxzoom: d.properties.maxzoom, layer: d.properties.layer }, delete d.properties.minzoom, delete d.properties.maxzoom, delete d.properties.layer, d'

Geometric simplifications

At every zoom level, l