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Enchanted with beauty of nature...

 

@ Debela peč (2014m), Julian Alps, Slovenia, Europe. map

 

Thanks for looking... :)

 

Do not use this image on any media without my permission. All rights reserved.

mapping Edinburgh in the style of Ordnance Survey maps from the early 20th century, using contemporary OpenStreetMap data.

 

Inspired by the wonderful georeferenced maps from the National Library of Scotland, in particular the early 1900s Ordnance Survey Maps.

 

Using QGIS 2.18. The hardest part is the street labelling and typography. Edinburgh is mapped in great detail in OSM; I had to reduce the detail and shrink the building outlines to get the feel of the originals.

 

Added a bit of grunge using blending mode, transparency, and a texture (a photo of a plaster wall I took during house renovation)

 

OpenStreetMap recently made a bulk dump of GPS points available as a massive 55Gb csv file.

 

This heatmap shows a random sample of 1% of the points and their distribution, to show where GPS is used to upload data to the map. There are just short of 2.8 billion points, so the sample is nearly 28 million points. Red cells have the most points, blue cells have the fewest.

 

Points were given a geohash, and the first 3 characters of the geohash were used to bin the points into a regular grid.

 

Using a couple of python scripts, and tidied up the SVG in Inkscape. Geohashing code here.

 

You can see some interesting patterns:

- some europe-carribean flights/boat journeys

- flights from US west coast to NZ

- a hotspot over Germany, UK and central/eastern Europe

- an odd delineated band between 30N and 30S in the oceans - this may be a result of the sampling

 

Data copyright OpenStreetMap and its contributors, CC-BY-SA.

  

Inspired by www.reddit.com/r/MapPorn/comments/esq9ay/all_roads_in_sco..., here's all the roads on the island of Ireland

 

• OpenStreetMap data downloaded as PBF files from download.openstreetmap.fr/extracts/europe/

○ Ireland

○ Northern Ireland

• OGR2OGR used to convert and combine the two PBF files into one SQLite database

• The "Lines" table from the resulting SQLite database was imported to QGIS

• The data were filtered so that only lines where "highway" is NOT NULL were included

• Separate layers were created for the following "highway" types and styled with different thicknesses of lines (from thicker at Motorways to thinner at Tracks)

○ Motorways

○ Trunk and primary roads

○ Secondary roads

○ Tertiary roads

○ Tracks

• From the remaining layer the following "highway" types were excluded

○ abandoned

○ demolished

○ disused

○ footway

○ cycleway

○ gallop

○ proposed

○ planned

○ bus_stop

○ bridleway

○ path

○ razed

○ raceway

○ rest_area

height and colour of each road in proportion to number of cafes and restaurants within 30m of each road

 

uses map and data copyright openstreetmap contributors

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