cartography is funny
Nicolas Barradeau barradeau.com @nicoptere
cartography
study and craft of maps, often geographic and a bit dull
creativity
start drawing an ant and end up
sculpting a (giant) dinosaur
a big problem
earth is not flat, it's not even a sphere, it's a pain to unfold
each projection system has pros and cons,
no silver bullet
proprietary beginnings
cartography is an indispensable tool, both in civilian and military fields
harmonisation
in 2005, an american SME (Google) released a web application (Google Maps) that uses a projection format called EPSG 3857 or srid: 900913 (1337, lol) and some square rasterised tiles (XYZ tiles). their user base did the rest and it became a standard for internet maps
harmonisation²
another SME (Microsoft) brings a major improvement by normalising the tiles naming
To convert tile coordinates into a quadkey, the bits of the Y and X coordinates are interleaved, and the result is interpreted as a base-4 number (with leading zeros maintained) and converted into a string
tileX = 3 = 011
tileY = 5 = 101
quadkey = 100111 as a base 4 number 213 > key: “213”
and then, OSM
OpenStreetMap is an international project launched in 2004 to create a free map of the world
crowdsourcing
OpenStreetMap supported by some companies and maintained by passionate users. since 2007 (birth of the modern mobile phones), everybody is a GPS
API
OpenStreetMap exposes a public API as well as planet dumps (snapshots of the entire database that can be downloaded separately)
format .OSM
an OSM XML node:
<node id="24909856" visible="true" version="4" changeset="3707436" timestamp="2010-01-24T23:35:50Z" user="lapinos03" uid="33634" lat="48.8478046" lon="2.3991444"/>
XML, verbose, heavy, comprehensive
user="lapinos03"
format .PBF
00000010 __ __ __ __ __ 78 9c e3 92 e2 b8 70 eb da 0c 7b ||.q.xx.....p...{|
00000020 81 0b 7b 7a ff 39 49 34 3c 5c bb bd 9f 59 a1 61 |..{z.9I4<\...Y.a|
00000030 ce a2 df 5d cc 4a 7c fe c5 b9 c1 c9 19 a9 b9 89 |...].J|.........|
00000040 ba 61 06 7a 66 4a 5c 2e a9 79 c5 a9 7e f9 29 a9 |.a.zfJ\..y..~.).|
00000050 c5 4d 8c fc c1 7e 8e 01 c1 1e fe 21 ba 45 46 26 |.M...~.....!.EF&|
00000060 96 16 26 5d 8c 2a 19 25 25 05 56 fa fa e5 e5 e5 |..&].*.%%.V.....|
00000070 7a f9 05 40 a5 25 45 a9 a9 25 b9 89 05 7a f9 45 |z..@.%E..%...z.E|
00000080 e9 fa 89 05 99 fa 40 43 00 c0 94 29 0c
binary, compact, comprehensive and unsuitable for manual processing
format .JSON
very compact, much lacunary, such internet.
var result = {
type:"FeatureCollection",
features:[{
geometry:{
type:"Polygon",
coordinates:[[[-122.26777,37.81545],[-122.26758,37.81596],...]]},
type:"Feature",
id:"4d2aa2869f",
properties:{}
}/*[...]*/ ]
}
.mbtiles format
an exchange format that lets us store a tile set as a SQL Lite Database.
OSM does not export to this format, it has to be compiled elsewhere but it proves useful for offline apps
MOBAC creation utility, adding a custom tileset et performing PHP requests (demo & source)
a big graph
OpenStreetMap is a giant graph, made of nodes & relations of different types and there are many
it's a vector data source before being a raster source, some providers let you customise these vector tiles
GIS: Geographic Information System
natural earth sets of ratser & vector resources
Overpass simplified web API to call the OSM API
FreeGISData resources collection of varying quality
QGIS Open Source data editor (and bloody robust)
rasterising by hand
maperitive tilesets creation utility
maptiler can be handy for smaller things
QGIS the path of the samouraï
leave it to
the professionals
cartoDB non topographic data
mapzen tiles server + customisation
mapbox the same but for hipsters
this page gathers different maps' renditions: leaflet-providers
beyond maps
a graph allows us to model data beyond geography. we can therefore extend the definition of cartography to some kind of networkgraphy or historiography (as OSM keeps track of all the changes) or to any neologism that ends up with graphy...
wonder women
GPS => OSM
amongst the broad variety of maps construction techniques, I found this book that was co authored by 3 women
In a field that remains vastly masculine, I wanted to pay tribute to these shy heroins who make our lives better
HOW DO THEY DO?
user data, it requires a database of GPS coordinates that also store a timestamp.
then, aggregation / decimation. the book's companion site gathers most of the publications and also sometimes their implementation.
my favourite
On Vehicle Tracking Data-Based Road Network Generation
because it uses a Fréchet distance
art?
for the past sixty years, an Computer Assisted Art form emerged. this practice has acquired a huge momentum with the birth of personal computers in the 1980's
since the end of the 90's, thanks to internet and to more accessible tools, the digital artistic practices have explored many fields usually considered scientific.
for the past ten years, open data & data visualisation appeared, popularizing an aesthetic of complexity and, of course, the artists rushed into this new field.
data visualisation is generally divided into two sub categories: informative and explorative. cartography is the field of exploratory data visualisation.
being an all-time visual complexity fanboy, I acquired the book about network cartography
a bit disappointed, the trees section is ok, the rest presents but few interesting things. his new shapes taxonomy is unthoughtful.
the author evokes the networkism, an artistic trend initiated after... Visual Complexity.
Networkism is a growing artistic trend, characterized by the portrayal of figurative graph structures—illustrations of network topologies revealing convoluted patterns of nodes and links
down and dirty
still time to run for your life
leaflet.js the JS tile engine.
openlayers same but... different
mapbox.GL WebGL 2D MapBox tiles renderer
tangram.js WebGL 3D Mapzen tiles renderer
vizicities & OSM Buildings 3D cities in the browser
cesium & WebGLearth open source 3D globe
doing maps by hand
4 metrics
-
latitude/longitude
-
quadkeys
-
meters
-
pixels
some variable variables
degree | latitude | longitude |
---|---|---|
0° | 110.574 km | 111.320 km |
15° | 110.649 km | 107.550 km |
30° | 110.852 km | 96.486 km |
45° | 111.132 km | 78.847 km |
60° | 111.412 km | 55.800 km |
75° | 111.618 km | 28.902 km |
90° | 111.694 km | 0.000 km |
on a sphere, latitudes / longitudes do not have a constant ratio to the earth' radius (that also changes...)
curvy straight lines
function latLngDistance(lat1, lng1, lat2, lng2){
var RAD = Math.PI / 180; var p1 = lat1 * RAD; var p2 = lat2 * RAD; var tp = (lat2-lat1) * RAD; var td = (lng2-lng1) * RAD; var a = Math.sin(tp/2) * Math.sin(tp/2) + Math.cos(p1) * Math.cos(p2) * Math.sin(td/2) * Math.sin(td/2); var c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1-a));
var R = EARTH_RADIUS ; // meters or km return R * c; }
Hic sunt dracones
when projecting a sphere in 2D, the longitudes are stretched as we get closer to the poles, not the prettiest thing but that's usually ok-ish (who needs poles anyway?)
on the other hand, as we use a logarithmic scale to project the latitudes, it is merely impossible to represent anything beyond +/- ~85.0519°...
many a way
Mike Bostock from D3.js has studied many projections systems. some of which are ridiculously complex (background image is the Hammer Retroazimuthal )
order and beauty
when working at a city scale, these variations are almost negligible. but we still need to convert units between meters, angles, zoom levels, pixels and quadkeys
I aworld where everything seems lost,
a hero will arises from the nihil,
and this hero is called...
thanks to the previous class, I built my own API to build XYZ tile maps (so,it IS possible after all)
pros: lightweight (6Ko zipped), renders vector and raster tiles to a 2D canvas, licensed under MIT but basically a WTFPL
cons: slow, incomplete, buggy, not responsive, not up to date, not mobile friendly, not retina, only obeys its master...
STOP!
Hammer Time!
cut a FAT picture of Pluto with MapTiler
elevation
habitat
and voilà! a city! (play this and press "a")
for tthe LULZ, I tried to mimick "Wind of Boston" https://vimeo.com/198005194 by @refikanadol
second life: using photogrammetry to recompose non exsting space
to wrap it up
a simplified access to open source data allows for new representations of the world, beyond geography.
the interfaces are accessible and performant, if we still don't know what to do with them, the tools are ready.
THANKS BRO!
takeaway:
cartography is funny
By nicolas barradeau
cartography is funny
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