Chaos Computer Club - archive feed

The osm2pgsql has been around for a long time. Since 2006 it is used to import OSM data into PostgreSQL/PostGIS databases for rendering and other uses. In the last years there have been a lot of improvements to osm2pgsql. With the new "Flex" output, osm2pgsql is now much more versatile which allows new applications. The osm2pgsql has been around for a long time. Since 2006 it is used to import OSM data into PostgreSQL/PostGIS databases for rendering and other uses. In the last years there have been a lot of improvements to osm2pgsql. With the new "Flex" output, osm2pgsql is now much more versatile which allows new applications. The talk will be about the new developments in osm2pgsql und show how to use the new features. Osm2pgsql is used for rendering bitmap tiles for many maps, including the main OSM map and many others. But it can also be used to import OSM data for generating vector tiles and for many other use cases. It is now possible to tell osm2pgsql exactly what output tables with what fields to create in the database. Transformations from the OSM tags to more or less any format you need in your database can be defined in Lua code. Together with the powerful SQL query language in PostgreSQL and the geometric algorithms in the PostGIS plugin, this makes all sorts of analytical processing possible. Osm2pgsql can be used to import small OSM extracts quickly for one-off processing or run a minutely updated planet-wide database on a reasonably-sized machine making OSM data processing accessible for everybody. about this event: https://2021.stateofthemap.org/sessions/7RWSWA/

A deep dive into how StreetComplete stores edits and syncs them with OpenStreetMap, including persistence, solving conflicts and allowing users to revert their edits. StreetComplete is known as an app to easily contribute selected data to OSM on the go. The simple interface could make it appear that the technical implementation is equally simple. It is maybe a common misconception that things that look easy to the user are also lighter in terms of code complexity. But under the hood, it is anything but. For example, amongst other things, the app has a unique way to avoid and to automatically resolve conflicts when uploading data to OSM. For an app that promises its users to work completely offline and thus automatically stores unsynced edits for any duration before upload, this is very useful to have. Furthermore, it comes with the ability to undo edits in any order (not just the last) and even undo most edits after they have been synced with OSM already. This talk shall give you an architectural overview over how StreetComplete enables its users to do these things. It could serve other editor developers as inspiration, however, most technical concepts in this app are probably not well applicable to be used in a general OSM editor, as StreetComplete vastly limits its users what they can do and therefor we can make certain assumptions about how the app is used. about this event: https://2021.stateofthemap.org/sessions/7M7WVX/

This track gathers various lightning talks of 5 minutes each. ## The Boundary Puzzle *ark Arjun* | *[arkarjun](https://www.openstreetmap.org/user/arkarjun)* The story of OSM Kerala community in developing the administrative boundaries of Kerala, a southern state of India. The Mammoth effort of volunteers made the different level of administrative boundaries of the state created a large impact in recent times including the pandemic management. The talk gives a brief on how the citizen-oriented participatory mapping revolutionised the open data culture and influenced the authorities. ## The YouTube community of OpenStreetMappers *Gregory Marler* | *[LivingWithDragons](https://www.openstreetmap.org/user/LivingWithDragons)* Let's take a look at YouTube and the community there from an OpenStreetMap view. I quickly cover the big and important channels that host talks, provide tutorials and learning, along with those doing desktop streams or turning on a camera and chatting as they go out mapping. ## Let's meet at an island. OpenStreetMap as a source for spatial chat tool worlds *Helga Tauscher* This talk shows how worlds for adhoc video-conferencing systems or spatial chat tools, for example [WorkAdventure](https://workadventu.re/) can be populated from geospatial or other real-world data on an automated basis. The island scenario is the first of three scenarios to be investigated, with the other two being scenarios on the building and city district level. ## Experiments in P2P tiles *Iván Sánchez Ortega* | *[ivansanchez](https://www.openstreetmap.org/user/ivansanchez)* An exploration on how a seemingly obscure web standard (WebRTC) can be exploited to provide P2P transmission of rendered map tiles and theoretically lower the load on the OSMF's tileservers. ## Open Healthcare Access Map *Marcel Reinmuth* | *[maze2p0](https://www.openstreetmap.org/user/maze2p0)* Get insights on travel time to healthcare facilities, population coverage and their interplay at different scales for a variety of countries. The [Open Healthcare Access Map](https://apps.heigit.org/healthcare_access/#/) is an OSM data powered application to explore health access. ## Bye Bye, Unclassified *Martijn van Exel* | *[mvexel](https://www.openstreetmap.org/user/mvexel)* Many words have been said and written about road classification in OSM. In this talk, Martijn van Exel will look at this topic through the lens of recent community initiatives in the United States, and add his own opinions you never asked for. ## Project OsmAPP.org *Pavel Zbytovský* | *[zby-cz](https://www.openstreetmap.org/user/zby-cz)* For a long time, I missed the single application for using OpenStreetMap. In this talk I would like to present the universal OpenStreetMap app, OsmAPP for short. After a few years of development, it already offers fast vector maps, clickable POIs, search and even basic editing capabilities. Let's hear the story of this project and discuss the future. - Link: [osmapp.org](https://osmapp.org) - Slides: [github.com/zbycz/osmapp-talk](https://github.com/zbycz/osmapp-talk) about this event: https://2021.stateofthemap.org/sessions/ZLK9X9/

Turkish OpenStreetMap Community has constantly been growing with members from various circles in recent years however the community faces various problems such as insufficient OSM documentation and tools in Turkey and lack of learning materials in Turkish. Yercizenler and Youth Season NGOs kicked-off the Open Source Volunteering Programme to tackle community needs to build and enlarge OpenStreetMap Turkey community by training volunteers, translating OpenStreetMap related documentation/tools and mapping 120 unmapped towns in Turkey. The Turkish OpenStreetMap Community has constantly been growing with members from various circles in recent years. It consists of participants such as hobby cartographers, academics, local governments, university student clubs and local NGOs. According to OSMstats, the community, which has an average of forty active mappers daily, has added more than 1.3 million buildings and more than 200,000 km of highways to the OpenStreetMap since 2018. Active OpenStreetMap contributors identify community problems and needs are listed as following; language barrier and the inexperienced local community. According to the EF English Proficiency Index, Turkey ranked in 79 out of 100 countries/regions. Lack of having OSM documentation in Turkish is one of the biggest barriers to growing a mapping community in Turkey. Insufficient OSM documentation in Turkish adversely affects participants of all levels. It causes a lack of technical knowledge about OpenStreetMap data structure among experienced mappers. Even if they make an outstanding amount of contribution, it can cause a decrease in data quality. From the newcomers' point of view, it significantly reduces the pace and motivation of learning. In order to tackle these problems and needs, Yer Çizenler and Youth Season NGOs are teamed up and kicked off the Open Source Volunteering Programme. The main goal of this programme is building and enlarging the OpenStreetMap Turkey community. The objectives of this programme are to train volunteers to get to know more about OpenStreetMap, to translate OpenStreetMap related documentation and tools and to map unmapped towns in Turkey. This programme consists of three phases; training, translation of OSM tools and mapping unmapped towns in Turkey. 8 OpenStreetMap training, four mapathons, three online public experience sharing events and 18 weekly meetings were organized during the programme. Twenty volunteers were selected to be part of the Open Source Volunteering Programme. These volunteers were trained on the following topics; fundamental of OpenStreetMap, OSM data model, OSM tag schema and OSM editing tools such as iD Editor, JOSM, Vespucci, GoMap! and RapiD. With the workshops and hands-on webinars, the participants got familiar with OSM data structure and gained the ability to use OSM editing tools. Additionally, the Open Source Volunteering Programme helped the Turkish OSM community to be connected with international OSM communities to learn from their experiences. As an example, we hosted Geoffrey Kateregga, Community Programs Manager at HOTOSM shared his learning and valuable community growth experience in Uganda as well as in Africa (1). As the second phase of this program, the volunteers translated OSM iD Editor Vespucci, MapRoulette and uMap tools into the Turkish language. In the third phase of the programme, volunteers mapped 120 unmapped towns in Turkey. Unmapped towns are exported from Pascal Neis's Unmapped Places of OpenStreetMap (2). These towns are mapped as points but do not have any roads in a radius of 700m. The MapRoulette and OpenStreetMap iD Editor are used to map unmapped towns. MapRoulette task was used to coordinate collaborative mapping efforts and monitor the progress (3). As a result, 11.838 map changes were made by 15 mappers. There are 10.295 unmapped towns in Turkey. As Yer Çizenler and Youth Season NGO, we're aiming to enlarge the active OpenStreetMap Turkey community and complete a map of unmapped towns in Turkey by the end of 2021. Overall, this talk will highlight key elements of building and enlarging OpenStreetMap communities in developing countries and learnings from Open Source Volunteering Programme. The proof of concept of mapping unmapped towns methodology will be shared with other communities to encourage them to implement similar activities in their local community. * (1) [https://www.youtube.com/watch?v=fD4fvmJ3Wmk](https://www.youtube.com/watch?v=fD4fvmJ3Wmk) * (2) [https://resultmaps.neis-one.org/unmapped#5/47.100/9.800](https://resultmaps.neis-one.org/unmapped#5/47.100/9.800) * (3) [https://maproulette.org/browse/challenges/15901](https://maproulette.org/browse/challenges/15901) about this event: https://2021.stateofthemap.org/sessions/EHQ7GH/

We have developed an open source web app, OLMap, to take photos of entrances and map them in OSM and another one, Gatesolve, for delivery drivers to find the route to the right entrance based on this micromapped OSM data. Last year, over 6000 images including 5762 entrances, 1767 flights of steps, 645 barriers and 241 info boards were contributed to the 30000 entrances mapped in Helsinki, Finland. The mapping project will continue this summer. True door-to-door navigation requires us to accept that people don't really visit housenumbers, they visit amenities and apartments via specific building entrances. The significance of this difference varies and is greatest in cities with unoptimal address schemes, for people with accessibility needs and for delivery drivers quickly visiting lots of unfamiliar recipients. City of Helsinki in Finland uses OLMap to take photos of each entrance to a building, to correct the GPS location of the entrance, to record the address and other properties of the entrance as well as to facilitate mapping this information and the access paths in OSM. Last year, the city employed some secondary school students as mappers. Over 6000 images including 5762 entrances, 1767 flights of steps, 645 barriers and 241 info boards were contributed to the 30000 entrances mapped in Helsinki. A new batch of students will be employed this summer. Using Gatesolve, delivery drivers can take advantage of the address, entrance, and accessibility data collected and mapped in OSM. To limit visual clutter, the app includes zoom-dependent cartography of the entrances. The search finds entrance-level addresses and the routing function visualises any steps and barriers on the way to the entrances. An entrance typically doesn't have a unique housenumber, so it's important to also map tags such as "addr:unit", "addr:flats" or "ref" when appropriate. When these are not available, the different entrance types, access values etc. can help distinguish between entrances. If a path without stairs has been mapped through to an entrance, we assume there are no stairs, but if there is any gap between the path and the entrance, we communicate uncertainty. Entrances inside as opposed to along building outlines cause troubles for us. For example, there are entrances inside building passages and under hanging roofs. Mapping these entrances along "building:parts" can clarify this, but it's disproportionately laborous as well as prone to topological mistakes which result in inaccurate cartography. We continue to develop the apps. For instance, all the mapping this far has been done in the iD editor, but custom mapping functionality may be necessary to feasibly support explicitly linking amenities to corresponding entrances via the proposed "associated_entrance" relations. about this event: https://2021.stateofthemap.org/sessions/W7FP3J/

The mapping of access restrictions is often neglected, but access restrictions (and default assumptions about whether a path without any such information is usable or not) are important to make OSM safe to use. OpenStreetMap has grown from a geeky niche project to a respectable data source powering a multitude of apps and web sites. Our ethos is to “map reality”, and our approach is incremental – one person might trace something from aerial imagery, another person might add a street name from their own local knowledge, and a third person surveys and records a speed limit on a visit to the area. Many paths, trails, and streets have access restrictions that may not be apparent from aerial imagery. These could range from oneway traffic rules to restrictions on certain types of vehicles, to “no dogs allowed”, or something could be entirely private, or in a military danger area. End users of OpenStreetMap based services are often insufficiently informed about access restrictions, leading to a rising number of complaints from land owners or otherwise responsible individuals, and frequent requests to “immediately remove from OSM” a certain object. This can either be due to missing access restrictions in OSM, or due to existing access restrictions not being correctly interpreted by the platform using OSM data. This talk intends to take stock of the current situation in OSM and major data-consuming apps, and make some recommendations aimed at both mappers and data consumers in order to reduce the risk of leading users down the wrong path. The author is a member of OpenStreetMap’s Data Working Group which handles incoming complaints. about this event: https://2021.stateofthemap.org/sessions/GEKXWL/

How to remotely map a city's public transport when due to the pandemic local trainings and community buildings are not possible. Financed by the World Bank who wants to support the infrastructure of Mauritania and also the planning of the bus system, we from Trufi Association wanted to map the public transport of its capital Nouakchott. Our typical approach would be to train and empower local communities so that they can work with OpenStreetMap and public transport mapping in the long run, keep it updated, ensure ground truth, make it more sustainable. We would have made the mapping together and this way taught how to trace and upload bus lines, bus stops, and points of interest. The plan was to do this together with French organization “Les Libres Geographes” who are experts in this topic. Due to Corona, we were not allowed to enter the city and had to think of a plan B. We will show in this talk how a local team can do the collection of necessary data and how a remote team can do the mapping – organized by a regional partner who at least is nearby. We show how both sides could benefit nearly as much as if we had been there, and why this is in times of CO2 reduction and pandemic might be a wise choice for other cities and mapping projects as well. But we also show the limitations, for example that this would not have worked without a minimal preparation of the local people during the last years. about this event: https://2021.stateofthemap.org/sessions/R3ZXY7/

Improving OSM data quality and coastal community resilience with the Map Quality Measurement workflow. Over the past few years, the world has been experiencing the impacts of climate change with an increase in extreme weather events. Coastal communities are among the most vulnerable and face a range of unique flooding hazards including storm surge, wave impact, and erosion causing damage to homes, businesses, and infrastructure. Timely emergency response relies on high quality spatial datasets to support 911 calls, disaster planning, and response & recovery efforts. It is imperative that road network and water feature (ocean and inland) quality be as accurate as possible when used to support emergency operations. Our team has selected a few coastal cities to run a subset of relevant map error checks to identify the location and density of key errors that would impede response activities. With these data our team uses the Map Quality Measurement process to generate a heat map and narrow down the most problematic areas for communities to focus and improve data. Map Quality Measurement (MQM) is an analysis and visualization tool revealing the distribution of errors within a given geography. MQM works by running a series of checks, referred to as Atlas-checks, that identify geometric, topologic, and attribution errors. Atlas-check outputs show the density of data errors, the types of errors they are, and assign priority to critical fixes. The checks are written to review core map features such as roadways, buildings, waterways, coastlines, and their relationships with one another. about this event: https://2021.stateofthemap.org/sessions/MXBCZY/

Over the past year, the Mapbox Data RAVE team has worked to improve data quality issues and engaged with various communities according to the Organized Editing Guidelines. The experience has been great and varied significantly from place to place. This talk will share the details and learnings for the community and other editing teams. In October 2020, as part of on-going work to improve the quality of OpenStreetMap data, Mapbox Data RAVE employed osmlint-osmium and osmlint to detect road network data issues in Germany, France, Belgium, Netherlands, and the USA. We found significant issues that impact auto navigation, and variance depending on past editing activities of the community and corporate members in each country. We began our work in each place in conversation. Sometimes we were met with friendliness, other times skepticism. We learned to respect local language conventions, which sometimes meant using machine translation, and this did help greatly. The preferred and active communication channels varied as well, from mailing lists, to forums, to IRC and Slack, to the Wiki and GitHub issues. For documentation, we took an “all of the above” approach, making sure to reflect adaptations in approach in all the spaces. Technically we worked on 10 categories of mistakes: crossing highways, crossing highway bridges, impossible angle, island highways, impossible oneways, mixed layer and 4 categories connected with turn restrictions. We used all available ground truth sources to determine if an edit was needed, and tracked those edits with a changeset comments hashtags for our team and each country. So far we have reviewed more than 26,000 issues and fixed almost 55% of them. Hoping that this is just the beginning of coordination with communities and the Data RAVE team. about this event: https://2021.stateofthemap.org/sessions/RSLM3H/

This track gathers various lightning talks of 5 minutes each. ## Building a Free Worldwide Long Distance Hiking Trail Map Together With OpenStreetMap *Davey Lovin* | *[mDav](https://www.openstreetmap.org/user/mDav)* Dozens if not hundreds of users worldwide have contributed a wealth of long-distance hiking trail information to OpenStreetMap. However, this data is difficult to extract in a meaningful and useful way and its quality varies greatly. This talk introduces [superroute](https://superroute.org/): an interactive webmap and quality assurance tool for OSM long distance hiking trails, with the goal of coalescing a community of passionate data-nerdy hikers to maintain and improve the data quality of these trails for the benefit of all. ## OpenStreetMap in the Philippines 2021 *OSM Philippines / Feye Andal* | *[feyeandal](https://www.openstreetmap.org/user/feyeandal)* Last September 2020, the OSM-Philippines community released the [Call to Correct Narratives about Geospatial Work [in the Philippines]](https://wiki.openstreetmap.org/w/images/a/aa/A_Call_to_Correct_Narratives_about_Geospatial_Work.pdf). We’re provided with an opportunity to share our own narratives and showcase the local community’s initiatives through a documentary-video produced by Amazon Web Services – Philippines. We would like to share OUR story with the whole OSM community. ## Localizing Community Support through regional hubs. *Geoffrey Kateregga* | *[Kateregga1](https://www.openstreetmap.org/user/Kateregga1)* The Eastern and Southern Africa Open Mapping Hub will engage with local mapping communities, facilitate knowledge exchanges, distribute funding, and provide training and support in order to massively scale local edits to OpenStreetMap in 22 countries. ## Automatic building detection with ohsome2label and Tensorflow *Hao Li* | *[leebob](https://www.openstreetmap.org/user/leebob)* In this talk, we will introduce our recent work in detecting OpenStreetMap missing buildings and show you a walkthrough on how to train your own building detector using ohsome2label and the TensorFlow Object Detection API. ## ORS Tools - the QGIS Plugin for the openrouteservice *Jakob Schnell* | *[ezelo](https://www.openstreetmap.org/user/ezelo)* QGIS is great geoinformation software, the openrouteservice is a fantastic routing engine based on OSM data and this plugin brings them both together. Jakob Schnell from HeiGIT, one of the plugin maintainers, will give a short overview over the main functionalities of the plugin. Please talk to Marcel Reinmuth during the conference, since Jakob won't be able to attend :) ## OpenStreetMap in support of UN Peacekeeping missions: Unite Maps & UN Mappers *Michael Montani* | *[Michael Montani](https://www.openstreetmap.org/user/Michael%20Montani)* [Unite Maps](https://geoportal.un.org/arcgis/apps/sites/#/unitemaps), a program led by the United Nations Global Service Center, is leveraging OpenStreetMap data to deliver geoservices and cartographic products to UN Peacekeeping missions in Africa. The initiative supports peacekeepers in their operational efforts (as navigation and security) in areas torn by conflict. Unite Maps contributes to the extraction of OSM data as well as community support and capacity building of OSM communities under the umbrella of the UN Mappers network. ## Water and sanitation mapping in Nairobi's informal settlements. *Peter Ageng'a* | *[Peter Agenga](https://www.openstreetmap.org/user/Peter%20Agenga)* In this talk, we'll be sharing about the project that we conducted on mapping of water and sanitation in informal settlements of Nairobi through the support of OSMF under the 2020 microgrants projects. We'll be sharing some of the results and lessons learnt from the project and findings from a survey that we conducted on the impact of Covid on water and sanitation. about this event: https://2021.stateofthemap.org/sessions/ZZ39T9/

about this event: https://c3voc.de

Makina Maps is a new stack to produce vectors tiles on request from updated OSM database. The same thing we except from Mapnik, osm2pgsq and mod_tile stack, but for vector tiles. The Vector Tile is a mapping solution where the Data Vector Tiles are served separately from the style and only assembled eg. in the web browser. Makina Maps is new Vector Tile Server build using Docker and based on Imposm, OpenMapTiles, TileServer GL and NGINX. The stack can be easily and quickly set up. The components allow to import OSM data into a Postgres database and server tiles on request. The tile caching is included. Using Imposm the OSM data can be update and the tiles cache invalided. This stack can be used as tile server for on request query and support fast update after many improvement was done and still in progress to OpenMapTiles. Fist, it requires to speed up the OpenMapTiles data layers query to server pretty quickly new tiles while users browsing the map. Secondly, it need to be able to update the database as fast the OSM diff update are coming and without locking the database. In complement of building and serving vector tiles, Makina Maps can hosts vector tile styles and is able to build and server raster version of these tiles. There is also the possibilities to server stored tiles from MBTiles like raster or eg. RGB dynamics light hill shading. about this event: https://2021.stateofthemap.org/sessions/9R7LZF/

MapComplete is a newly created, easy-to-use web editor. In this talk, the developer will talk about the editor, how it came to be, how it already performed and what could possible come - especially with your help. MapComplete is a newly created web editor which aims to be really easy to use. It tries to be just as simple as StreetComplete while offering per-topic views and presets just as MapContrib. In this talk, I present the editor I've made. I will talk about the editor itself, how it grew in the past year and a half, some technical background and give some statistics on edits made with it and which themes proved to be interesting. I'll also touch upon the possibility to create your own theme (but I'll do an Q&A-session specifically for that). Furhtermore, a comparison with other editors in the OSM-ecosystem will be made and differences with StreetComplete and MapContrib will be highlighted, as those two editors were key in inspiring this editor - yet there are some important differences with MapComplete in it's goals resulting in a fundamentally different approach and different use cases. I'll also zoom in on how the user journey is and how a few small features become available when the time is right for them to appear. Finally, I will have a look to where MapComplete could be headed and which projects and technical innovations will be made in the future. If you already want to try the editor, give it a shot at mapcomplete.osm.be about this event: https://2021.stateofthemap.org/sessions/3E98CC/

Nominatim, the well-know OSM search engine, has recently received a major update of the algorithm that computes addresses from the boundaries and places in OSM. This talk first introduces the new algorithm, explains the background and how it translates to tagging. We'll then take a step back and explore the larger picture what the evolution of tagging scheme of OpenStreetMap means for the users of the data. Nominatim is the search engine that powers the search box on the main OSM site. One of the fundamental steps of preparing OSM data for searching is the extraction of information about their location, commonly known as their address. This is not a simple task because OSM data is much less structured than traditional databases and many users revert to using external data for this reason. However, the data is there and should therefore be usable. In the course of the last year the address algorithm of Nominatim received a major overhaul to improve how addresses are generated from OpenStreetMap data. The first part of the talk introduces the new algorithm and how it came to be. We'll look into the current state of tagging of boundaries, the problem of the urban/rural divide and the difficulties of country-specific mapping. The second part of the talk deals with the more general question what the evolving tagging schema of the OpenStreetMap database means for data users. The free-form tagging is one of the big strengths of OpenStreetMap. But the lack of rules does not necessarily have to mean lack of order. Using the example of address extraction, I'd like to discuss the future of the tagging schema from the point of view of a data user. about this event: https://2021.stateofthemap.org/sessions/QUHKNR/

OSM publishes with its geodata also meta data describing the contribution process and contributor. This talk gives an overview of the actual privacy prospects for OSM consumers, potential privacy risks for OSM contributors, and attempts a preliminary compliance check with respect to the EU’s general data protection regulation (GDPR). I am a professional data protection expert and a passionate long-term contributor to OSM. For this talk, I want to combine both worlds and discuss: * 0) How OSM already today is beneficial for the privacy of OSM consumers? * 1) Which personal data is in the OSM public database (spoiler: behavioural data of contributors)? * 3) Which potential privacy risks stem from the data for OSM contributors? * 4) What are the GDPR compliance issues? * 5) What is the outlook? I open the discussion (Q&A) with some ideas to mitigate privacy risks. They involve likely changes to the current data governance, OSM database structure and OSM data itself. Problems that are already evident that I plan to mention: 1. transparency on the processing of personal data of contributors 2. tracking of contributors, e.g. via - [https://resultmaps.neis-one.org/oooc](https://resultmaps.neis-one.org/oooc) - [https://overpass-turbo.eu/](https://overpass-turbo.eu/) with search "user:username" - [https://hdyc.neis-one.org/?username](https://hdyc.neis-one.org/?username) 3. sharing of OSM data with third parties, see [https://wiki.osmfoundation.org/wiki/Registered_data_controllers](https://wiki.osmfoundation.org/wiki/Registered_data_controllers) For the purpose of the discussion, I want to introduce the audience to a few core data protection concepts: - purpose limitation - data minimisation - definition of personal data in the GDPR - concept of anonymous and pseudonymous data about this event: https://2021.stateofthemap.org/sessions/RJZRZ8/

The open-source 3D renderer OSM2World turns OpenStreetMap data into detailed 3D models of the world around us. The mission of OSM2World is to build a realistic 3D representation of the physical world using open data and open-source software. This is made possible by two trends: The increasing level of detail captured by the OpenStreetMap database, and the growing availability of open technologies for high-quality 3D rendering. Creating 3D models from OpenStreetMap wouldn't be possible without the impressive effort of the mapper community. One of the goals of OSM2World is comprehensive support for the rich landscape of tagging, such as Simple 3D Buildings and Simple Indoor Tagging. Besides the outside and inside of buildings, the rendering displays lane mapping for roads as well as a large number of other OSM features – likely more than any other open-source 3D renderer. In addition to the ongoing work to support a larger share of the OSM data model, OSM2World is being updated to make good use of modern technologies, including physically based rendering (PBR), the glTF format, and WebGL. These make it easier than ever to export visually appealing 3D models for use in many modelling tools or engines, and to display them on the web. This talk introduces the capabilities of OSM2World, with a particular focus on features which were added recently. As such, the session is intended to be suitable for visitors learning about OSM2World for the first time as well as those interested in staying up-to-date about new developments. about this event: https://2021.stateofthemap.org/sessions/ZVL93H/

This talk will focus on the MapaTanda Project (a portmanteau of Mapa -- which means a map -- and Tanda -- which can mean older adult but can also mean remember) and why we need to build an age-friendly society through OSM. This is a project that seeks to improve the number and quality of data in OpenStreetMap that are important and relevant to older adults (senior citizens) and the ageing population (60+ years old). In a nutshell, MapaTanda seeks to improve both the quantity and quality of data in OpenStreetMap that is important and relevant to members of the older adult and ageing population (60 plus years old) in the Philippines. This involves adding and cleaning features in OpenStreetMap such as nursing homes, hospitals that provide specialized care for the elderly, retirement homes, local offices for senior citizen affairs, community centers and other facilities that cater to or provide perks and services to older adults, etc. These data can then be used by local and national organizations for policy-making, planning, and implementing projects and interventions. SmartCT's goal as an organization is to put citizens and data at the heart of developing smart cities and communities in the Philippines. We believe in an open, inclusive, holistic, and citizen-centric approach to building smart solutions. To do this, we partner with actors such as local government units to ensure that they have access to quality open data that they can utilize for planning their programs and services. We believe in the power of open data and consider OpenStreetMap as a great amplifier of that power. This talk will focus on community building and openness as foundations of age-friendly cities and communities. Our main goals for its talk are below: 1. Recruit new OSM volunteers 2. Engage the older adult population to contribute in OSM 3. build stronger relations with the local and global OSM community as well as foster partnerships with more local government units and national agencies. 4. call to institutionalize openness through policies about this event: https://2021.stateofthemap.org/sessions/TPKBQ9/

From remote mapping to OSM-based analytical tools for decision making, CartONG would like to share its experience on building and implementing step by step since 2017 an overall strategy to support humanitarian response in refugee sites with UNHCR. We will focus on specific technical challenges, like dealing with accurate and precise data on a large number of sites at world scale as well as at site level. CartONG is an NGO specialized in Information Management whose mission is to put data – in particular geographical data – at the service of humanitarian, development and social action projects. CartONG is one of the implementing partners for mapping and information management (IM) projects of the UNHCR, a UN agency dedicated to protect refugees, forcibly displaced communities and stateless people. Getting data on refugee sites has always been a challenge given their fast evolution and the diversity of situations around the world. Therefore CartONG has been promoting OpenStreetMap as a complementary resource and sharing platform to produce accurate and recent data that can complement UNHCR’s existing database while also benefiting other actors (in particular local ones). From remote mapping to OSM-based analytical tools for decision making, CartONG would like to share its experience on building and implementing step by step since 2017 an overall strategy to support humanitarian response in refugee sites with UNHCR. We will focus on specific technical challenges, like dealing with accurate and precise data on a large number of sites at world scale as well as at site level. The implementation is still ongoing and the strategy also evolves as it moves forward to better fit the requests of the partner as well as evolution of the OSM landscape: we will present where we stand and what is planned for the next steps. Step 1/ Improve the consistency of the refugee sites’ tagging model on OSM (wiki documentation/ mapping data model) Step 2/ Promote refugee site mapping on OSM (training/mapathons/data integration/ cooperation among actors) - Improve the availability and quality of OSM data on refugee site around the world - Facilitate contribution and use of OSM data. Step 3/ Build a dedicated OSM replica for UNHCR specific use cases Step 4/ Monitor activities on OSM camp mapping - Complement UNHCR’s database and compensate for lack of data on specific sites. Step 5/ Generate a specific map rendering Step 6/ Feed a web application for spatial analysis - Create analysis products (including maps, sector indicators visualization, etc) using OSM as well as other data sources, and make them available to UNHCR’s team and other actors for field operations about this event: https://2021.stateofthemap.org/sessions/XLDXW9/

Grab launched a navigation product for Driver partners in 2018 with the help of OSM. We contributed to OSM data in Singapore and made it navigation ready to enable launching in-app navigation for Grab's driver partners. This talk is a glimpse of the journey to get the map data quality and in turn the product experience to be the best suited one for driver partners in Singapore. Grab's journey with OSM started in 2015, with the road geometry being the one mostly used to calculate ETAs and routing. Based on this use case, we started enhancing the OSM data using GPS probe based detections and satellite imagery. After the success we saw with the ETA and routing quality that we could achieve with OSM in Singapore, we started dabbling with the idea of piloting Navigation quality maps on OSM. Our journey on this started with researching the local traffic rules, signboards and restrictions that are relevant for Navigation. As Singapore is one of the countries in SEA which is well marked with all signs in SEA, we then moved on to solve the next level of challenge which is adding street level imagery across the country with the help of different cameras we could lay our hands on for the pilots. At times we used mobile phones with KartaView app and others we managed to add using better quality Go-Pro like cameras. Few interesting learnings along the way; Rain can play a spoilsport to your plans at the last minute; Government, building authorities would need time to give you permits for collecting imagery and you will need to plan those into your collection efforts; Roadworks, Road closures, congestion do not let you cover all streets fully. Despite all the planning, sometimes you may not get permissions, Eg: Private condos. For such situations, you can work with the local community to help add more imagery. Interesting learnings while mapping Singapore: Tunnels, Underpasses, etc. criss cross on multiple levels. Oftentimes mappers get confused, despite the availability of imagery. Road name abbreviations are sometimes not standardised and will have inconsistency when showing on maps. Maps are never perfect even in a well mapped country like Singapore as the physical world around you is changing. Instead of trying to be perfect, you can aim to be very agile and responsive, making the real world changes reflect in the map data as close to realtime as you can get. What can help you in doing this well is working closely with local transport authorities (SLA, LTA, etc. in case of SG); Other major realtors and establishments which run several malls, office buildings, tech parks, etc. And last but not the least - community. Both the OSM community and our driver partner community helped us immensely here. The journey to making the map for Singapore was quite arduous and needed the continued support of OSM community mappers, driver partners, local map operations teams. Everyone constantly keeping the map updated and improved helped us make the navigation to be best suited for the needs of Grab driver partners. We engaged these communities through various activities such as Geo*Stars, mapathons with organisations such as GeoWorks and hosted in-house mapathons to enable understanding and contribute to the amazing OpenStreetMap data. For our driver partner community, we started off with a whatsapp group to gather feedback and then proceeded to an in-app collection mechanism to make this reporting of road updates, map changes, a lot faster and seamless. This coupled with our on-ground map operations teams which run road tests of the navigation helped us ensure our map stays as updated as possible. Working closely with the community ensured that they also could see the impact they were making on the maps every day. This made Grab Driver partners to like Grab Navigation even more as it empowered them to build it together with us. This journey doesn’t end here, and we will be working even more closely with the community across South East Asia as this is the best way to scale these efforts on building maps for everyone. about this event: https://2021.stateofthemap.org/sessions/D7JREJ/

The common theme for OSM editors is presenting a map for moving things around. But for attribute editing, a map is too distracting. Let's see how getting rid of it improves the editing experience. The future of OpenStreetMap editing is not another JOSM or another Potlatch. What we have is good enough, and there are options for everyone. But 15 years on, the same problems persist in OSM: while it's very easy to draw things, to add a road, a building, or an amenity, updating the map is so hard virtually nobody does that for free. That can only be fixed by tailoring editors to the task, because general-purpose editors cannot help. That is the future: thematic editors. In this talk we'll take a look at existing specialized OSM editors, like OSM Contributor, MapSwipe (I know), or StreetComplete. We will also note when an editor doesn't need a map to operate. And finally we'll imagine a few editors that could simplify maintaining the map, both on desktop and on mobile. The speaker, Ilya Zverev, has made the well-known Level0 editor which doesn't need a map to function, but also isn't strictly a thematic editor. Recently he's made a Telegram bot for a POI directory, which also featured an optimized POI editor. It enabled Ilya to collect ~500 shops and amenities in 10 days, and to keep the data recent. It didn't provide an interactive map, obviously. about this event: https://2021.stateofthemap.org/sessions/BWLNAC/

SotM Working group welcome the OpenStreetMap community to SotM 2021. There will also be some explanations about the virtual conference, the interaction in Q&A and the beside sessions. SotM Working group welcome the OpenStreetMap community to SotM 2021. There will also be some explanations about the virtual conference, the interaction in Q&A and the beside sessions. about this event: https://2021.stateofthemap.org/sessions/3NWQYN/

Wie immer versuchen für jeden Termin auch Vortragende aus der Region zu finden. Dieses Mal berichtet uns Max-Jacob Ost (@GNetzer) von seinem aktuellen Projekt: Max lebt in Obergiesing und produziert seit 2014 zusammen mit Frank Helmschrott den Fußballpodcast “Rasenfunk”, eine regelmäßige Gesprächsrunde über Fußball, die sich allein durch freiwillige Zahlungen der Hörerinnen und Hörer finanziert. Wer sich für die Hintergründe dazu interssiert, sei an dieser Stelle auf den Vortrag auf der Subscribe9 verwiesen. Beim Meetup geht es aber um den Podcast “11 Leben – Die Welt von Uli Hoeneß” in dem er anhand der Person Uli Hoeneß die Geschichte des deutschen Fußballs nachzeichnet. “11 Leben” ist im September 2020 in Zusammenarbeit mit Wakeword und Audionow gestartet. about this event: https://podcast-muc.de/termine/2021-07-meetup/

Eine Allianz aus NGOs und Privatpersonen hatte seit dem Jahr 2013 unter dem Slogan "Privacy not Prism" versucht, den britischen Geheimdienst GCHQ wegen Verstößen gegen Menschenrechte zu belangen, weil er in einem umfänglichen Internet-Überwachungsprogramm massenhaft Kommunikationsdaten sammelt und analysiert. Diese anlasslose Massenüberwachung ist nicht mit der Europäischen Menschenrechtskonvention vereinbar, entschied die Große Kammer des Europäischen Gerichtshofs für Menschenrechte in Straßburg im Mai 2021. Die illegalen Eingriffe in die Privatsphäre von Millionen britischen und europäischen Menschen werden durch das Urteil nun neuen Regeln unterworfen. Welche neuen Vorgaben sind das? Werden Kommunikationsinhalte und Metadaten unterschiedlich behandelt? Kann die Massenüberwachung dennoch bestehen bleiben? Welche Folgen hat das Urteil, wird die Überwachung von Kommunikationsdaten nun gebremst und die Geheimdienstkontrolle verstärkt? Welche Erkenntnisse brachten die mündlichen Anhörungen? Diese und weitere Fragen soll der Vortrag ansprechen. about this event: https://c3voc.de

<p>Corona Warn App, das Internet, Smartphones - sie alle basieren größtenteils auf Open Source Software. Da lässt sich schon erahnen: Freie Software und Open Tech sind nicht nur was für Vollblut-Nerds und Informatiker. In unserem neuen DEBATE wollen wir genau darüber reden. Carina, Eileen, Elisa und Raphael diskutieren mit euch, was Open Source überhaupt ist und warum die Frage "Open oder nicht" eben nicht nur in IT-Kreisen geführt werden sollte. Sie geben außerdem praktische Tipps, wie jede*r Mensch zu mehr "Open" in der Welt beitragen kann, auch ohne Programmierkenntnisse.</p> about this event: https://cadus.org/debate

Das Thema Luftqualität hat im vergangenen Jahr einiges an Aufmerksamkeit gewonnen. Ein beliebtes Bastelprojekt in verschiedenen Hackerspaces wurde die sog. CO2-Ampel, ein Gerät um die CO2-Konzentration in Raumluft zu messen. In diesem Petit Foo erkläre ich wie die CO2-Ampel genau funktioniert und wie man sich selbst eine auf Basis eines Arduinos und LEDs bauen kann. about this event: https://www.chaospott.de

about this event: https://koeln.ccc.de/updates/2021-06-20_DOC_astropeiler.xml