Compare commits
No commits in common. "master" and "data" have entirely different histories.
|
|
@ -1 +0,0 @@
|
|||
baerer
|
||||
|
|
@ -1,72 +0,0 @@
|
|||
|
||||
# ccc maps
|
||||
|
||||
the [svg map] used on [ccc de] is at least potentially outdated
|
||||
and thus in future should be updated automatically
|
||||
|
||||
[svg map]: https://chaos.expert/telegnom/erfakarte
|
||||
[ccc de]: https://www.ccc.de/regional
|
||||
|
||||
|
||||
## my target process
|
||||
|
||||
* [x] fetch addressed of a convenient source
|
||||
* [x] resolve geo coordinates for addresses, e. g. [geopy]
|
||||
* [x] visualize on a map, e. g. via [leafletjs] or [QGIS]
|
||||
* [ ] calculate coordinates to place POI on a SVG with a known projection
|
||||
* [ ] manipulate SVG so that the POI are shown accordingly even without any application
|
||||
* [ ] change view port of SVG so it frames the POIs properly
|
||||
* [x] create PNG from the SVG and deploy
|
||||
* [ ] document for others to use
|
||||
|
||||
|
||||
## data
|
||||
|
||||
### POI
|
||||
|
||||
the address data source is the semantic [documentation wiki], queried with [result format]
|
||||
|
||||
[documentation wiki]: https://doku.ccc.de/Liste_der_Erfa-Kreise_und_Chaostreffs
|
||||
[result format]: https://www.semantic-mediawiki.org/wiki/Help:CSV_format
|
||||
|
||||
To create GeoJSON from recent address data:
|
||||
|
||||
1. `prepare.sh` pulls CSV from the Wiki
|
||||
2. `create-geojson.sh` calls `lookup.py` for each CSV set
|
||||
3. The resulting [data](https://gitea.c3d2.de/vv01f/ccc-map/src/branch/data) in [GeoJSON] format can be used with e.g. [leafletjs] or [QGIS]
|
||||
|
||||
|
||||
### Map
|
||||
|
||||
The old [svg map] was nice for Germany only.
|
||||
Over time more European spaces joined and the map could not display all of them.
|
||||
|
||||
Another point is that the projection parameters of the SVG are not known.
|
||||
New material can be produced choosing the projection.
|
||||
One recommended program to do this is [QGIS].
|
||||
Freely useable data is available on e. g. [Natural Earth].
|
||||
|
||||
To create a new SVG Map:
|
||||
|
||||
1. Start QGIS, KBS setting recommendation: EPSG:3857 / Pseudo Mercator
|
||||
2. Drop a Shape-File, e. g. sqlite format (and optionally a GeoJSON-File)
|
||||
3. Adjust colors in the layers styles
|
||||
4. Print as SVG (Label for POI data is lost in version 2.18)
|
||||
|
||||
[QGIS]: https://qgis.org/ "QGIS"
|
||||
[Natural Earth]: http://naturalearthdata.com/ "Natural Earth"
|
||||
|
||||
[geopy]: https://geopy.readthedocs.io/
|
||||
[leafletjs]: https://leafletjs.com/
|
||||
[GeoJSON]: https://geojson.org/ "Website for RFC 7946"
|
||||
|
||||
<!--
|
||||
|
||||
## Thanks go to …
|
||||
|
||||
* [telegnom](https://chaos.expert/telegnom/erfakarte) for patiently describing the problems and needs for the map
|
||||
* [ax3l](https://github.com/ax3l) for his [spontanious lightning talk](https://media.ccc.de/v/DS2016-7782-lightning_talks#t=5112) on [„Visualisierung Flüchtlingsfeindlicher Vorfälle in Deutschland“](https://github.com/ax3l/chronik-vorfaelle) at [Datenspuren](http://datenspuren.de/) in 2016 getting me started years later when I saw it again
|
||||
* The [Dresden OSM Meeting](https://wiki.openstreetmap.org/wiki/DresdnerOSMStammtisch) for hinting me on QGIS and an introduction how to use it
|
||||
* and quite some people helping me to finally polish some python
|
||||
|
||||
-->
|
||||
|
|
@ -1,12 +0,0 @@
|
|||
#!/usr/bin/env sh
|
||||
echo "this takes some time depending on the amount of addresses in your lists …"
|
||||
for file in *-csv ; do
|
||||
out=$(echo "${file}"|cut -d- -f1)".geojson"
|
||||
if test -e "${out}" ; then
|
||||
echo "file exists: ${out}, skipping."
|
||||
continue
|
||||
fi
|
||||
echo ./lookup.py "${file}"
|
||||
./lookup.py "${file}" > "${out}"
|
||||
#~ ./lookup.py "${file}" 2>/dev/null > "${out}"
|
||||
done
|
||||
|
|
@ -0,0 +1,81 @@
|
|||
{"type":"FeatureCollection","features":[
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[10.07,48.84]},"properties":{"name":"Aalen","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[4.87,52.36]},"properties":{"name":"Amsterdam","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.14,49.99]},"properties":{"name":"Aschaffenburg","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[10.89,48.36]},"properties":{"name":"Augsburg","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[11.59,49.93]},"properties":{"name":"Bayreuth","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[7.45,46.96]},"properties":{"name":"Bern","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.53,52.04]},"properties":{"name":"Bielefeld","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[19.06,47.49]},"properties":{"name":"Budapest","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[10.95,50.27]},"properties":{"name":"Coburg","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[11.04,50.98]},"properties":{"name":"Erfurt","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.42,54.80]},"properties":{"name":"Flensburg","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.67,50.56]},"properties":{"name":"Fulda","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.68,50.58]},"properties":{"name":"Gießen","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[15.45,47.07]},"properties":{"name":"Graz","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[11.99,51.48]},"properties":{"name":"Halle a. d. Saale","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.95,52.17]},"properties":{"name":"Hildesheim","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[11.38,48.77]},"properties":{"name":"Ingolstadt","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[11.40,47.26]},"properties":{"name":"Innsbruck","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.50,53.94]},"properties":{"name":"Itzehoe","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[11.58,50.93]},"properties":{"name":"Jena","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[12.34,51.34]},"properties":{"name":"Leipzig","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[6.12,49.62]},"properties":{"name":"Luxemburg","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[10.67,53.87]},"properties":{"name":"Lübeck","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.40,47.71]},"properties":{"name":"Markdorf","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[7.64,51.94]},"properties":{"name":"Münster","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[6.69,51.19]},"properties":{"name":"Neuss","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[11.08,49.45]},"properties":{"name":"Nürnberg","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[7.94,48.47]},"properties":{"name":"Offenburg","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[13.08,52.39]},"properties":{"name":"Potsdam","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[7.17,51.62]},"properties":{"name":"Recklinghausen","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[12.12,49.01]},"properties":{"name":"Regensburg","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[10.18,49.38]},"properties":{"name":"Rothenburg ob der Tauber","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[4.43,51.91]},"properties":{"name":"Rotterdam","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[11.42,53.60]},"properties":{"name":"Schwerin","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[6.62,49.75]},"properties":{"name":"Trier","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[7.69,51.54]},"properties":{"name":"Unna","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.46,48.06]},"properties":{"name":"Villingen-Schwenningen","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.50,50.56]},"properties":{"name":"Wetzlar","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.73,47.50]},"properties":{"name":"Winterthur","marker":"ct"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[7.14,51.27]},"properties":{"name":"Wuppertal","marker":"ct"}}
|
||||
]}
|
||||
|
|
@ -0,0 +1,63 @@
|
|||
{"type":"FeatureCollection","features":[
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[6.11,50.79]},"properties":{"name":"Aachen","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[10.89,49.90]},"properties":{"name":"Bamberg","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[7.63,47.53]},"properties":{"name":"Basel","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[13.38,52.52]},"properties":{"name":"Berlin","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.82,53.08]},"properties":{"name":"Bremen","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.65,49.87]},"properties":{"name":"Darmstadt","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[7.46,51.53]},"properties":{"name":"Dortmund","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[13.73,51.08]},"properties":{"name":"Dresden","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[6.78,51.22]},"properties":{"name":"Düsseldorf","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[11.00,49.60]},"properties":{"name":"Erlangen","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[7.02,51.44]},"properties":{"name":"Essen","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.64,50.12]},"properties":{"name":"Frankfurt am Main","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[7.84,47.99]},"properties":{"name":"Freiburg","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.95,51.55]},"properties":{"name":"Göttingen","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.94,53.56]},"properties":{"name":"Hamburg","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.72,52.39]},"properties":{"name":"Hannover","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[7.76,49.44]},"properties":{"name":"Kaiserslautern","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.41,49.01]},"properties":{"name":"Karlsruhe","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.48,51.32]},"properties":{"name":"Kassel","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[6.91,50.95]},"properties":{"name":"Köln","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.49,49.46]},"properties":{"name":"Mannheim","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[11.56,48.15]},"properties":{"name":"München","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.75,51.72]},"properties":{"name":"Paderborn","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[13.06,47.79]},"properties":{"name":"Salzburg","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.00,50.87]},"properties":{"name":"Siegen","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.18,48.78]},"properties":{"name":"Stuttgart","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.99,48.40]},"properties":{"name":"Ulm","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[16.36,48.21]},"properties":{"name":"Wien","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.23,50.08]},"properties":{"name":"Wiesbaden","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[9.92,49.80]},"properties":{"name":"Würzburg","marker":"erfa"}}
|
||||
,
|
||||
{"type":"Feature","geometry":{"type":"Point","coordinates":[8.53,47.39]},"properties":{"name":"Zürich","marker":"erfa"}}
|
||||
]}
|
||||
71
lookup.py
71
lookup.py
|
|
@ -1,71 +0,0 @@
|
|||
#!/usr/bin/env python3
|
||||
|
||||
from __future__ import print_function
|
||||
from geopy import Nominatim
|
||||
# ~ import json
|
||||
import sys
|
||||
|
||||
#disable ssl verification
|
||||
import ssl
|
||||
import geopy.geocoders
|
||||
ctx = ssl.create_default_context()
|
||||
ctx.check_hostname = False
|
||||
ctx.verify_mode = ssl.CERT_NONE
|
||||
geopy.geocoders.options.default_ssl_context = ctx
|
||||
#/
|
||||
|
||||
# debug print to stderr, https://stackoverflow.com/questions/5574702/how-to-print-to-stderr-in-python
|
||||
def eprint(*args, **kwargs):
|
||||
print(*args, file=sys.stderr, **kwargs)
|
||||
|
||||
# ~ fn="ct-csv"
|
||||
if len(sys.argv) == 2:
|
||||
fn = sys.argv[1]
|
||||
else:
|
||||
eprint("in case you do not know what you are doing, better call via e.g. `create-geojson.sh`.\n");
|
||||
eprint("expecting one argument: csv-file.");
|
||||
eprint("received "+str(len(sys.argv))+" argument(s): "+str(sys.argv));
|
||||
sys.exit(1) # exit with error
|
||||
|
||||
# for retreiving geo coordinates from addresses
|
||||
geolocator = Nominatim(user_agent="my-mapper")
|
||||
# lat: 0=111,1km,1=11km,2=1km… lng: 0=70km,1=7km,2=.7km…
|
||||
precision = 2
|
||||
|
||||
# convert csv to geojson
|
||||
|
||||
firstline = True
|
||||
# start json list
|
||||
print ( '{"type":"FeatureCollection","features":[' )
|
||||
# get data from file
|
||||
with open( fn, 'r' ) as fp:
|
||||
for place in fp:
|
||||
#error handling: expect
|
||||
arrAddress = place.split(",")
|
||||
strAddress = ",".join(arrAddress[2:6])
|
||||
eprint( "looking up: "+strAddress )
|
||||
location = geolocator.geocode( strAddress )
|
||||
if location is not None: # its a class
|
||||
# todo: ceil coords to hide true location in format string
|
||||
# ~ strCoordPlace = '{:s},{:.6f},{:.6f}'.format( arrAddress[3], location.latitude, location.longitude )
|
||||
geojson = '{{"type":"Feature","geometry":{{"type":"Point","coordinates":[{:.'+str(precision)+'f},{:.'+str(precision)+'f}]}},"properties":{{"name":"{:s}","marker":"{:s}"}}}}';
|
||||
strCoordPlace = geojson.format( location.longitude, location.latitude, arrAddress[1], fn.split("-")[0] )
|
||||
if firstline == False :
|
||||
print (",")
|
||||
else:
|
||||
firstline = False
|
||||
print ( strCoordPlace )
|
||||
# end json list
|
||||
print ( "]}" )
|
||||
|
||||
# exit fine
|
||||
sys.exit(0)
|
||||
|
||||
# ~ m = folium.Map( # etc..)
|
||||
# ~ m.save("filename.png")
|
||||
|
||||
# ~ https://github.com/python-visualization/folium/issues/35#issuecomment-164784086
|
||||
# ~ https://github.com/wbkd/leaflet-mapshot
|
||||
# ~ https://stackoverflow.com/questions/44800396/python-ipyleaflet-export-map-as-png-or-jpg-or-svg
|
||||
|
||||
# ~ m = folium.Map(location=[51, 13], zoom_start=5, tiles='Stamen Toner') # Mapbox Bright , CartoDB Positron
|
||||
34
position.py
34
position.py
|
|
@ -1,34 +0,0 @@
|
|||
#!/usr/bin/env python3
|
||||
|
||||
import math
|
||||
|
||||
def arc_to_deg(arc):
|
||||
"""convert spherical arc length [m] to great circle distance [deg]"""
|
||||
return float(arc)/6371/1000 * 180/math.pi
|
||||
|
||||
def deg_to_arc(deg):
|
||||
"""convert great circle distance [deg] to spherical arc length [m]"""
|
||||
return float(deg)*6371*1000 * math.pi/180
|
||||
|
||||
def latlon_to_xyz(lat,lon):
|
||||
"""Convert angluar to cartesian coordiantes
|
||||
|
||||
latitude is the 90deg - zenith angle in range [-90;90]
|
||||
lonitude is the azimuthal angle in range [-180;180]
|
||||
"""
|
||||
r = 6371 # https://en.wikipedia.org/wiki/Earth_radius
|
||||
theta = math.pi/2 - math.radians(lat)
|
||||
phi = math.radians(lon)
|
||||
x = r * math.sin(theta) * math.cos(phi) # bronstein (3.381a)
|
||||
y = r * math.sin(theta) * math.sin(phi)
|
||||
z = r * math.cos(theta)
|
||||
return [x,y,z]
|
||||
|
||||
def xyz_to_latlon (x,y,z):
|
||||
"""Convert cartesian to angular lat/lon coordiantes"""
|
||||
r = math.sqrt(x**2 + y**2 + z**2)
|
||||
theta = math.asin(z/r) # https://stackoverflow.com/a/1185413/4933053
|
||||
phi = math.atan2(y,x)
|
||||
lat = math.degrees(theta)
|
||||
lon = math.degrees(phi)
|
||||
return [lat,lon]
|
||||
33
prepare.sh
33
prepare.sh
|
|
@ -1,33 +0,0 @@
|
|||
#!/usr/bin/env sh
|
||||
|
||||
# baerer is the `authority` as in RFC 3986, here login for doku.ccc.de
|
||||
fae="file already exists."
|
||||
# recv data
|
||||
if test -e baerer ; then
|
||||
auth=$(head -1 baerer)
|
||||
else
|
||||
echo "error: authentication information not found."
|
||||
exit
|
||||
fi
|
||||
#~ test -e ct-json && echo "$fae" || curl -o ct-json "https://"${auth}"doku.ccc.de/Spezial:Semantische_Suche/-5B-5BKategorie:Chaostreffs-5D-5D-20-5B-5BChaostreff-2DIs-2DErfa::falsch-5D-5D-20-5B-5BChaostreff-2DActive::wahr-5D-5D/-3FChaostreff-2DPhysical-2DAddress%3DAdresse/-3FChaostreff-2DPhysical-2DHousenumber%3DHausnummer/-3FChaostreff-2DPhysical-2DPostcode%3DPLZ/-3FChaostreff-2DPhysical-2DCity%3DStadt/-3FChaostreff-2DCountry%3DLand/mainlabel%3D/limit%3D100/order%3DASC/sort%3DErfa-2DCity/offset%3D0/format%3Djson/headers%3Dshow/searchlabel%3DJSON"
|
||||
#~ test -e erfa-json && echo "$fae" || curl -o erfa-json "https://"${auth}"doku.ccc.de/Spezial:Semantische_Suche/-5B-5BKategorie:Chaostreffs-5D-5D-20-5B-5BChaostreff-2DIs-2DErfa::wahr-5D-5D-20-5B-5BChaostreff-2DActive::wahr-5D-5D/-3FChaostreff-2DPhysical-2DAddress%3DAdresse/-3FChaostreff-2DPhysical-2DHousenumber%3DHausnummer/-3FChaostreff-2DPhysical-2DPostcode%3DPLZ/-3FChaostreff-2DPhysical-2DCity%3DStadt/-3FChaostreff-2DCountry%3DLand/mainlabel%3D/limit%3D100/order%3DASC/sort%3DErfa-2DCity/offset%3D0/format%3Djson/headers%3Dshow/searchlabel%3DJSON"
|
||||
if test -e ct-csv ; then
|
||||
echo "$fae"
|
||||
else
|
||||
curl -k -o ct-csv "https://${auth}doku.ccc.de/Spezial:Semantische_Suche/-5B-5BKategorie:Chaostreffs-5D-5D-20-5B-5BChaostreff-2DIs-2DErfa::falsch-5D-5D-20-5B-5BChaostreff-2DActive::wahr-5D-5D/-3FChaostreff-2DCity%3DLabel/-3FChaostreff-2DPhysical-2DAddress%3DAdresse/-3FChaostreff-2DPhysical-2DHousenumber%3DHausnummer/-3FChaostreff-2DPhysical-2DPostcode%3DPLZ/-3FChaostreff-2DPhysical-2DCity%3DStadt/-3FChaostreff-2DCountry%3DLand/mainlabel%3D/limit%3D100/order%3DASC/sort%3DChaostreff-2DCity/offset%3D0/format%3Dcsv/headers%3Dshow/searchlabel%3DCSV/sep%3D,/filename%3Dct-2Dbesuchsadressen.csv"
|
||||
fi
|
||||
if test -e erfa-csv ; then
|
||||
echo "$fae"
|
||||
else
|
||||
curl -k -o erfa-csv "https://${auth}doku.ccc.de/Spezial:Semantische_Suche/-5B-5BKategorie:Erfa-2DKreise-5D-5D-20-5B-5BChaostreff-2DActive::wahr-5D-5D/-3FChaostreff-2DCity%3DLabel/-3FChaostreff-2DPhysical-2DAddress%3DAdresse/-3FChaostreff-2DPhysical-2DHousenumber%3DHausnummer/-3FChaostreff-2DPhysical-2DPostcode%3DPLZ/-3FChaostreff-2DPhysical-2DCity%3DStadt/-3FChaostreff-2DCountry%3DLand/mainlabel%3D/limit%3D100/order%3DASC/sort%3DChaostreff-2DCity/offset%3D0/format%3Dcsv/headers%3Dshow/searchlabel%3DCSV/sep%3D,/filename%3Derfa-2Dbesuchsadressen.csv"
|
||||
fi
|
||||
# preprocess csv data
|
||||
for file in ct-csv erfa-csv ; do
|
||||
sed -e 's/"//g' ${file} > tmpfile && mv tmpfile ${file}
|
||||
#~ sed -e 's/\([0-9]\{4,5\}\),/\1 /g' ${file} > tmpfile && mv tmpfile ${file}
|
||||
sed '1d' ${file} > tmpfile && mv tmpfile ${file}
|
||||
done
|
||||
# dependencies
|
||||
|
||||
#~ pip3 install geopy # looking up addresses/coordinates
|
||||
#~ pip3 install folium # leaflet.js with python
|
||||
|
|
@ -1,41 +0,0 @@
|
|||
#!/usr/bin/env python3
|
||||
|
||||
import math
|
||||
|
||||
# https://tools.ietf.org/html/rfc7946#page-12
|
||||
|
||||
# ~ latitude = 41.145556; // (φ)
|
||||
# ~ longitude = -73.995; // (λ)
|
||||
|
||||
# Berlin 13.38,52.52 =>
|
||||
|
||||
lon = 13.38
|
||||
lat = 52.52
|
||||
|
||||
# ~ mapWidth = 200;
|
||||
# ~ mapHeight = 100;
|
||||
w = 1000
|
||||
h = 1000
|
||||
|
||||
def getMecatorPicCoords( lon, lat, w=1000, h=1000 ):
|
||||
"""
|
||||
transform coordinates in a mercator projection
|
||||
for a picture with given size
|
||||
"""
|
||||
# get x value
|
||||
# ~ x = (longitude+180)*(mapWidth/360)
|
||||
x = (lon+180)*(w/360)
|
||||
|
||||
# convert from degrees to radians
|
||||
# ~ latRad = latitude*PI/180;
|
||||
# latRad = lat*math.pi/180 # used only once, so not stored in a variable
|
||||
|
||||
# get y value
|
||||
# def ln(x): return math.log(x) # with single argument
|
||||
# mercN = math.log(tan((math.pi/4)+(latRad/2))); # latRad integrated
|
||||
# mercN = math.log(math.tan((math.pi/4)+(lat*math.pi/90))) # integrated as used once only
|
||||
y = (h/2)-(w*math.log(math.tan((math.pi/4)+(lat*math.pi/90)))/(2*PI)) # mercN integrated
|
||||
return (x,y)
|
||||
|
||||
# call the function
|
||||
print( getMecatorPicCoords(x,y) )
|
||||
2278
spaces-map.svg
2278
spaces-map.svg
File diff suppressed because one or more lines are too long
|
Before Width: | Height: | Size: 4.1 MiB |
Loading…
Reference in New Issue