Oliver Wipfli wipfli

Converting country zooms from tilezen to protomaps resources/country-zooms.csv

Clone https://github.com/tilezen/vector-datasource/, go to spreadsheets/min_zooms

download place=country from overpass-turbo to the the wikidata ids of the countries and other properties, store in countries.geojson

save the following to country.py

# country.py

Some performance tests with my new computer. Running Planetiler Protomaps basemap on the OSM planet (79 GB).

Hardware:

OS:

hophop:~$ uname -a

This gist describes how to download a map for a custom region and serve it on a website.

It uses the Protomaps Basemap but the same workflow can be used with OpenMapTiles or Shortbread.

The download links are:

OpenMapTiles: https://tile.openstreetmap.jp/static/
Shortbread: https://blog.geofabrik.de/index.php/2023/03/30/experimental-vector-tiles-on-download-server/
Protomaps: https://maps.protomaps.com/builds/

Outline

Indexed Font Encoder

I would like to create an indexed font encoder. It should be an application that takes the following as input:

labels.json: a list of map labels to encode
.ttf fonts: a directory containing ttf font files used for the encoding
ignore_codepoints.json: a list of unicode codepoints which should be ignored for the encodoing

And the output of the application should be:

Vector Landcover Notes

I would like to be able to make myself one day a vector landcover tileset that looks as good as the ones of the large consumer maps. I tried doing this a bit but so far I have not found a good solution.

The landcover should give you an idea how the nature looks like in a place, whatever that means...

In this gist I would like to write down some notes around the challenges of making a vector landcover tileset.

Related to onthegomap/planetiler#550

Arabic Notes

Numbers

1 [waːħid]
2 [iθˈnaːn]
3 [θaˈlaːθa]
4 [ʔarbaʕ]
5 [xamsa]
6 [sitta]

Task

The download URLs look like:

https://s3-eu-west-1.amazonaws.com/vito.landcover.global/v3.0.1/2019/E000N60/E000N60_PROBAV_LC100_global_v3.0.1_2019-nrt_Bare-CoverFraction-layer_EPSG-4326.tif

template:

	[0m0:00:00 DEB - argument: config=null (path to config file)
	[m[33m0:00:00 WAR - [21:108] Unexpected token type: START_OBJECT
	[m[33m0:00:00 WAR - [24:109] Unexpected token type: START_OBJECT
	[m[33m0:00:00 WAR - [25:130] Unexpected token type: START_OBJECT
	[m[33m0:00:00 WAR - [38:127] Unexpected token type: START_OBJECT
	[m[33m0:00:00 WAR - [39:108] Unexpected token type: START_OBJECT
	[m[33m0:00:00 WAR - [41:131] Unexpected token type: START_OBJECT
	[m[33m0:00:00 WAR - [48:173] Unexpected token type: START_OBJECT
	[m[33m0:00:00 WAR - [53:114] Unexpected token type: START_OBJECT
	[m[33m0:00:00 WAR - [64:118] Unexpected token type: START_OBJECT

	<!DOCTYPE html>
	<html>
	<head>
	<meta name="viewport" content="initial-scale=1,maximum-scale=1,user-scalable=no" />
	<script src='https://unpkg.com/[email protected]/dist/maplibre-gl.js'></script>
	<link href='https://unpkg.com/[email protected]/dist/maplibre-gl.css' rel='stylesheet' />

	<link href="https://demotiles.maplibre.org/style.json" rel="preload" as="fetch" />
	<link href="https://demotiles.maplibre.org/tiles/tiles.json" rel="preload" as="fetch" />
	<link href="https://demotiles.maplibre.org/tiles/1/1/1.pbf" rel="preload" as="fetch" />

	# iBBQ sensor readout script using python bleak
	#
	# Source code was copied from https://github.com/8none1/pybq which is licensed under the GPLv3.0.
	# For the license of the original script see https://github.com/8none1/pybq/blob/master/LICENSE
	#
	# Was adapted to use the python bleak package instead of bluepy using ChatGPT.
	#
	# Thanks to Will Cooke (https://github.com/8none1/) for providing the orginal version!