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Geocaching enthusiasts in Ljubljana, Slovenia, being introduced to OpenStreetMap editing at a meetup held in the Ljubljana Rudnik volunteer fire brigade center: geocaching.com/geocache/GC7ZD1

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The call for State of the Map 2019 @sotm presentations is now open. The deadline is: 25th April 2019. Read more: blog.openstreetmap.org/2019/02 There will be a separate call for submissions to the Academic Track.

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A big mapping party in Marikina, Metro Manila, Philippines. The Lilac Street area was divided up and mapped in detail as described on @GOwin 's diary: openstreetmap.org/user/GOwin/d @MapAmorePH

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Within days of the Brumadinho dam disaster, OpenStreetMap contributors were able to use Sentinel-2 imagery to produce a detailed outline of the mudflow: cesbio.ups-tlse.fr/multitemp/? as highlighted on this map created to illustrate the wikipedia article: en.wikipedia.org/wiki/Brumadin

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The humble "node". A basic element of our map data. As of today we have >5 ,000, 000, 000 of them! wiki.openstreetmap.org/wiki/No 

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Last weekend "State of the Map Asia 2018" took place in Bangalore. @SotmAsia stateofthemap.asia 
OpenStreetMap contributors, developers, users and supporters from many Asian countries participated and organised this event.

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We are looking for someone to prepare a pull request for acceptance against the current “openstreetmap-website” code that will implement some changes to the Rails API and CGIMap. Interested? Read on blog.openstreetmap.org/2018/11

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This map made by @StolenRide shows every London cycle parking location stolenride.co.uk/cycle-parking Mapped on OpenStreetMap and an optional layer of police data with the locations of reported stolen bikes

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A stylish map of Kharkiv, Ukraine, as blend of OpenStreetMap data and landsat satellite imagery. See more on @gontsa 's instagram: instagram.com/gontsa/ 

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In Brazil the PRODEPA state agency created this online map of the “Círio de Nazaré” festival route in Belém: kdaberlinda.pa.gov.br/mapa_app  showing facilities and blocked streets for this gathering of more than 2 million people

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A "Featured Image" taken from Vahid Moosavi's paper “Urban morphology meets deep learning” arxiv.org/abs/1709.02939  This image shows an automatically generated spectrum of urban development patterns for around 1 million cities, towns and villages across the planet.

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"OSM dans tan smartphone", a selection of Android apps for different types of OpenStreetMap contribution and use. This OSM "featured image" was originally presented at a mapathon event in Kinshasa.

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En OSM Town | Mapstodon for OpenStreetMap

A Mapstodon instance for the OpenStreetMap Community (English language)! This site is under construction, and may change. Our francophone friends have a Mastodon instance: fr.osm.social