OpenStreetMap Blogs

New Organised editing guidelines was proposed by DWG. I show my "negative" opition on that guidelines.

At first, I think the previous Directed Editing Policy was a good proposal. I like that. I really pay my respects to DWG's works.

Most important point

• Scope is very vague. It could be applied to "mapping parties between friends" even it negate. I like the previous "Director/Directee" idea.
• Imports without any advance discussion are not acceptable. Use other service.

Previous Directed Editing Policy was better idea

• It says individual community members and organised editing groups are at same level playing field.
• must/should/may are properly used. I can easily understand which items are more important.
• Almost no duties for organised mapper/contributor/directee. Indicated duties are for general OMS mappers, those are not special for organised mapper.

Individual

• They are not meant to apply to community activities like mapping parties between friends or doing a presentation on OSM at a local club.
  -> The reason this guideline is not to applied to communitiy activities is not shown.
• any edits that involve more than one person and can be grouped under one or more sizeable, substantial, coordinated editing initiatives.
  -> I can't understand this definition
• more substantial initiatives are expected to spend a more substantial amount of effort.
  -> What's "substantial"? Does it mean "mapping parties between friends" is "insubstantial"?
• If the activity is a response to an emergency and no advance discussion is possible, the community should be informed as soon as is practical.
  -> No. Use other service. For example, uMap could be your solution.
• Contributors should respond to communication attempts made in good faith by other contributors.
  -> This duty is for general OMS mappers, those are not special for organised mapper.
• Any person or organisation whose actions affect the OpenStreetMap project has the duty to care for the project, and should respect the community’s consensus, mapping practices and guidelines.
  -> This duty is for general OMS mappers, those are not special for organised mapper.
• Edits to the map
  -> (I can't understand why the name of this section is "Edits to the map")
• People looking at individual changesets that are part of a organised mapping activity should be able to tell as soon as they look at a changeset.
  ->(I can't understand what it means)

Auto body shop in New York City, New York

Thanks to some excellent feedback from the community, the #DigitizeRacine project is moving forward with great efficiency.

Microsoft's building footprints seem to be fairly accurate for Racine County, and often only need minor corrections, or a garage or two added.

In refining my landuse areas, I came across a few areas with no sidewalk. I went looking for a parcel map to reference, and came across the WI State Cartographer's V4 Parcel dataset. Not only does this give me the parcel boundaries I wanted, but it includes address information, and is freely available for public use.

So, after a bit of pre-processing, I've joined the parcel address information to Microsoft's building footprints, then split the resulting layer into a few thousand manageable chunks. I've always liked the task management method that HOTOSM uses. I grab a section or two, work on those to completion, cross them off the list.

At this point, I think the focus will shift towards the building footprints, as those are currently not in the OSM dataset. Whatever my opinions on landuse areas, those are already present, and refining existing data can wait. Adding buildings with accurate address tags is now the primary task; landuse will be the next phase. The state parcel layer also includes some zoning tags, which may be helpful in determining landuse areas.

One of the contributions could be used to improve the quality of OpenStreetMap is by importing existing datasets. However, if you don’t pay close attention, you may end up doing bad imports. Here, we collected some suggestions to guide you to import existing dataset into OSM correctly.

1. Type of data import

According to documentation in OpenStreetMap, only these physical features can be imported into OSM. They are:

• Point: locations that can be presented by a single dot on the map, for instance, bank, restaurant or post office, etc.
• Lines: the feature can be presented as lines, for instance, roads, trails, bike lanes.
• Polygons: can be defined as a closed line, for instance, buildings, farmlands.

In the following picture, you can see how all the physical features that show and can be rendered on a digital map.

2. Data format for OSM

The default dataset extension of OSM is “.osm”. OSM data files are traditionally distributed in an XML format, and indeed it is still structured very much like XML. You can see an example as the following figure.

Example:

Converting other dataset to OSM In Java OpenStreetMap editor (JOSM), you can only edit feature data in ‘.osm’ format. If your data is packed in other data formats, we list all the possible conversion tools in the following table that you can use to convert your dataset into ‘.osm’.

3. OSM data license and permission

Once the dataset is in the correct format for OSM, you may consider OSM data license or permission. There are two kinds of scenarios:

• Scenario 1. You own the data you are going to import into OSM, so you should consider an open source or public domain license. The public domain means it will be free and open to being used by anyone for any purpose without restriction under any copyright law.
• Scenario 2. If the dataset originally owned by a third party, you need to have the permission to import the data into OSM. To obtain a permit, you can find some letter templates here. For specific details of the permission of data ownership, you can go and view it on Open Data Commons Open Database License(ODbL). If the data owner request, it needs to be addressed in the contributions specifically.

4. OSM data importation plan

You need to create a plan for any OSM data importation you are going to take, and the plan can be outlined as:

For specific you can see the following examples:

• The data importation plan for import schools in Peru
• The data importation plan for Sidewalk Import in Seattle, Washington.

Register import plan. Edit and add your import plan in wiki OpenStreetMap Page: OSM Catalogue imports.

5. Data importation and communication with OSM community

Someone else may be working on importing the same dataset you have. Your dataset may be relevant to a region but not to other parts of the world. Therefore, keeping the OSM community informed of your intention is important. Before you import your dataset into OSM, please:

• Send the import plan to country mailing lists.
• Subscribe to import mailing lists to hear what the community has to say.

• Send messages to local OSM users. You can find local OSM mapper groups by:

  • User groups: shows a map of the user groups by their geolocations;
  • Who’s around me? will show users who are close to your geolocations.

• Also, send an email to imports@openstreetmap.org

• Wait for approval of the import plan, if the local community has been approved your import plan, go ahead with the import process.

6. Other recommendations we have for you

• Update your mapping project constantly.
• Try to accomplish the schedule of your import plan.
• When you are importing dataset into OSM, we recommend you to start with a smaller dataset. You should split a large area into smaller areas too.
• Using high-resolution imagery, e.g. ESRI World Imagery, DigitalGlobe Standard Imagery, DigitalGlobe Premium Imagery, or Bing Aerial Imagery, to evaluate your dataset are recommended, but be minded that the imagery can be out of date.
• Ask local mappers to validate and update your data that imported into OSM.

Questions?

Let me know if you have any questions.

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Where is this location?

Hoje estou dando continuidade ao mapeamento de bairros da cidade do Recife no Projeto Mapeia CEP Recife.

mapeie os Bairros da Caxangá, Coqueiral,Sancho e Afogados.

Link Para pesquisa de Ruas do Recife no Overpass Turbo

Bom Mapeamento a Todos.

Raphaelmirc

Hallo zusammen,

ich besitze die Stadtteile für eine Stadt als Shape. Gibt es eine Möglichkeit diese hoch zu laden?

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Firstly I want to thank mappers who had put their deliberate effort in creating and improving the data in Visakhapatnam. The road network in the most of the areas is almost mapped and there are few missing roads. As Bing aerial Imagery, Esri world imagery, DigitalGlobe Imagery looks solid, we picked them as resources for the mapping according to the updated imagery. I appreciate Martha Leena, Chanda Teresa, Naga Bhavana and Iqhra Aiman for teaming up with me for this Mapping campaign. As an initial phase we’d like to concentrate on the Visakhapatnam division

Pic credits: Deccan Chronicle

We made a plan to map the features in the following order, so that we can concentrate on particular feature and improve that.

• Align the roads and create the complete road network according to updated imagery.
• Improve the building coverage all over the Visakhapatnam.
• Do Mapillary drives with the help of local community in the Visakhapatnam and try to achieve a - complete Mapillary coverage.
• Adding road names,Point of interests,amenities and other map features using Mapillary resource we collected.

Changeset comment: #Improving the roads and buildings in the Visakhapatnam
Source: Bing aerial Imagery, Esri world imagery, DigitalGlobe Imagery

Note: The above plan is just for our team to maintain consistency in our campaign, so that we can track the features we are adding and for smooth journey of mapping.

I request all the community members to join us. Looking forward for the suggestions and improvements. We would like to continue this and try to make OpenStreetMap better in Visakhapatnam.

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 Hoje fiz diversas melhorias no estado de pernambuco e em praias onde fiz as melhorias no mapa OSM e continuarei inserindo CEP´S na Cidade do Recife no projeto Mapeia Recife. 

 Hoje fiz diversas melhorias no estado de pernambuco e em praias onde fiz as melhorias no mapa OSM e continuarei inserindo CEP´S na Cidade do Recife no projeto Mapeia Recife. 

aguarde novas informações.

um forte abraço a todos os mapeadores;

Raphael Assis

The OLC is supposed to become a kind of global address system. It is especially interesting for regions with obsolete or nonexistent on-the-ground addresses.

I wrote a simple Open Location Code generator & search on the OSM map: http://ausleuchtung.ch/olc/.

To generate an OLC code just click on the map at a certain location. The search box or an URL link are to be used to find a location for an OLC code. For example, here is the location of the Norfolk Island Central School stadium: http://ausleuchtung.ch/olc/?c=5V29XX59+JHW

The Google map supports the OLC too via its search box.

One of the great advantages of an OLC address is that it can point to an exact location of an apartment or an office in a large building, what potentially can save a lot of time and fuel, for example, for a delivery service vehicle, and by this reduce the CO2 emission.

This Wikipedia article about the Open Location Code provides detailed information on how the open source OLC system was created and how it works.

اعصار يضرب محافظة المهره اليوم

H34 West Donegal: Vice County raster map suitable for MapMate Source data: (c) OpenStreetMap contributors; hill shading NASA SRTM via viewfinderpanoramas.com

One of the things I'd always planned to do once I had a half decent data set for the Irish Vice Counties was to create detailed raster maps for each of them. This is mainly because I've found using such raster maps useful for my own biological recording using MapMate software. They make choosing the correct recording location much easier, and reduce the hassle in producing more attractive (and communicative) outputs. I've detailed the principles behind the creation of such maps here in the past.

With the first such map I produced I struggled to get it to align properly with the Irish Grid displayed with MapMate. I could upload MapInfo .MIF files which would align, but these offered nothing like the degree of detail I want to show. Furthermore the import process with my copy of MapMate only seems to work with polygons. I tried a variety of ways: mainly trying to tweak the .TAB file format which I'd used successfully with files for Great Britain.So I put the idea to one side.

Very recently, prompted by Julia Nunn, VC recorder for County Down, I re-looked at the problem. Once again I was getting nowhere and  I was on the verge of seeking expert help from Richard Cantwell on the arcana of MapInfo's formats, many of which date back to the 1980s. (Richard works professionally with MapInfo data a lot and has written some very informative articles available from his firm's website.)

Note.  Much of this post will mainly be of interest to users of MapMate. However, towards the end I digress into geonerd territory when discussing the pros and cons of MapMate's technical choices about projections. Also please note that has been sitting in my draft folder for a while before being published.


I soon realised that there was another approach I had not tried.

MapMate allows one to 'calibrate' a raster image by clicking on two locations and entering the grid co-ordinates. I have always found this a bit chancy and tedious to set up, and even then one is still often a pixel or two out. Even with this approach I was failing: I could get a raster map registered but it would be to the British not Irish Gird. Whilst doing this I finally remembered that MapMate will save a given map as a bitmap with an associated calibration file. This finally gave me proper insight as to how to crack the problem.

What I did was create a map of County Down in MapMate using its own internal data, and then saved this as a calibrated bit map. The calibration files are rather simple:

  <mapmate>
  <cal>
    <name>test.jpg</name>
    <timestamp><timestamp>
    <copyright></copyright>
    <units>m</units>
    <datum>WGS84-modified</datum>
    <projection>Local</projection>
    <coodtype>EN</coodtype>
    <rotation>0</rotation>
    <type>raster</type>
    <xo>-160000</xo>
    <yo>200000</yo>
    <xi>-50000</xi>
    <yi>290000</yi>
    <xpixels>4400</xpixels>
    <ypixels>3600</ypixels>
  </cal>
</mapmate>

The key parameters being the bottom right and top left in MapMate's internal co-ordinate system, and the size of the raster file in pixels. To make life easier for myself I took the initial MapMate map and used the option to re-frame the map to the 10km grid. I could then write down both the grid co-ordinates and the internal MapMate co-ordinates for the map bounds. I did this for all Irish Vice Counties (although MapMate wouldn't snap to the grid for a couple, and its bounds for Fermanagh
were broken), and recorded all the values in a spreadsheet.

First MapMate test picture map for County Down Data: (c) OpenStreetMap contributors

Now using QGIS all I had to do was create a raster file with exactly the same bounds as the MapMate map. By setting the print option to 254 dpi I get as close as I can to 100 dots per cm which makes for easy computation of image sizes. I scaled maps to be 1:250k which is convenient both in terms of detail and effective for all vice counties. The largest dimension was around 5600 pixels, but most rasters were roughly 4000x4000. Once I'd tested out a quick draft of County Down, I then produced rather more considered maps of the 2 Donegal vice counties. These were made by using Overpass-Turbo queries to get specific features within a vice county and saving them as geojson files.

Hillshading

Collins Progressive Atlas page 12 : my introduction to hill-shading, contours & hypsometric tints. I was about 6 years & 4 months of age.

I also wanted to add hill shading and hypsometric tints. These help a bit in quickly identifying locations for data entry, but are of much greater value for someone looking at the distribution of a plant. Ultimately I may produce multiple versions suitable for different contexts: for instance the recently published Derbyshire Flora uses geology, or hypsometry as a background where this informs interpreting the distribution of a plant.

Another motivation for doing this lies way back in my childhood. I was given a book at Christmas when I was six called Collins Progressive Atlas. I still have it, and flipping through its pages I'm amazed at its ambition in teaching map reading & many of the principles of cartography to young children. The image above shows on a 2-page spread it introduces some rather sophisticated concepts. (An aside: I'd love a way to do something like the 3 opening page spreads for anywhere in the world. OSM is a perfect starting point).

To do this I downloaded raster DEM files from ViewFinder Panormas, and processed them in QGIS to produce hill-shading, contours and tints. I did so pretty much using the standard defaults : these can be improved upon as can be seen from the work of folk like Andy Allan (Thunderforest) and Richard Fairhurst (cycle.travel).

Having done this I worked through all 40 of the Vice Counties: the images are currently available on Flickr, but I have will eventually add added them on github along with the relevant calibration files. Thes should be usable directly in MapMate if all three files with the same base name are copied to the same directory.

MapMate's Co-ordinate system

The last thing I wanted to do was understand MapMate's internal co-ordinate system.

To do this I created two geolocated images which were 100 km square (basically the Irish Grid Square C and the British Grid Square composed of half each of NW & NR  I made sure I had both grids visualised in the images. I then created MapInfo calibration files based either on bottom-left (corresponding to Irish Grid) or top-right co-ordinates (assumed British Grid).

Using QGIS I created raster images with both Irish (grey-brown) and British (blue) grids.

I then loaded them into MapMate, and overlayed these with the coastline data which comes with MapMate.

100 km sq. British Grid (from NW05 to NR49)

100km Irish Grid sqaure C. British Gird in blue.

As was already clear, MapMate uses a kludge. Irish Grid co-ordinates are mapped internally onto squares of the British Grid. It should be possible to work out which 10km squares belong to which grid system along the boundary (at least I assume the border is aligned on 10km grid lines).

MapMate internally uses an Access database without any geospatial features. It also only allows its notional recording units to be grid squares (AFAIK, of any size from 1m to 10km), which helps because most geospatial calculations can be done using simple arithmetic. It does recognise that any particular grid square is within one of its internal polygons (local authority & vice county boundaries). As it does this quickly there may be a bit more to the code than just sums.

The decision to rely on the useful properties of a regular kilometric grid, and effectively hard-wiring two grids into the code, has an unfortunate consequence for MapMate. It is not a practical tool for biological recording outside the British Isles (although I think at one stage it was adapted for Luxembourg). Whilst the Dutch & Swiss use 10km grids for recording, most other countries with well-established recording systems use some variant of a latlon grid: in Germany sheetlines of 1:25k maps are used in Baden-Württemberg, elsewhere it's often a 7.5 or 15 minute 'square'. (MapMate also suffers from being based on old technology, but that is another (huge set of) issue(s)).

Coda

MapMate is still a phenomenally useful piece of software, widely appreciated by its users as being straightforward to use, but it increasingly suffers from both being based on very old software, and a business model which does not provide enough recompense for continued development.

At the same time the newer approaches of web-based and app based data entry do not yet deliver all the same functionality. I've tried address one deficiency of MapMate with more accurate maps delivered as images. However it cannot fix how MapMate internally validates records based on boundaries. I do believe that this and  similar approaches can be used to maintain or extend MapMate's utility until newer software reaches a similar level of functionality.

Have walked a substantial part of Watlington civil parish in two outings recently, upon resumption of my excursion through the Oxfordshire Chilterns checking the Public Rights of Way. The weather on both occasions has been magnificent and the areas have been a delight to walk and view.

I have had Harry Wood's diary entry, "Using Rob Whitaker's tool to map UK Public Rights of Way" at https://www.openstreetmap.org/user/Harry%20Wood/diary/45022 on my mind. It was interesting and thought-provoking to read. I believe Public Rights of Way are a fundamental fabric of our lives that helps make us who we are as a nation, historically. Harry writes, "But also it feels a bit like littering our data with 3rd party arbitrary reference codes. prow_ref values are certainly not verifiable on the ground!" There might be so many more elements uploaded to OSM thought to be "littering our data" before considering PRoW references, or tags, I feel. I should promote, rather, how this data might be used for everyone's benefit. I agree the values are not verifiable on the ground, usually. There are examples in some of our civil parishes in South Oxfordshire, however, where it is the Chiltern Society, I believe, that has been responsible for adding its own references to trees, fence posts and suchlike. These are the codes it uses in its series of 32 Footpath Maps and which I add as tags in OSM to all the ways I walk. I have written in an earlier diary entry, "My ongoing relationship with OSM", of how I have been able to download Oxfordshire County Council's PRoW data, add elements to it and import it as a .kml file to Locus Map on my Android 'phone, and use Vespucci, also, to have every piece of information to hand as I walk. I find this necessary because OSM offers no facility to use keys such as "prow_ref" or "ref:Chiltern_Society" instead of "Name", or any app developer using OSM, so far as I know. How much easier it would be for every walker in our technological age were this possible. Additionally, my overlying Oxfordshire County Council data distinguishes between PRoWs and other footways that are present very much in OSM, giving a walker/rider confidence when in the countryside.

There is another aspect of walking PRoWs that fills my time, too: barriers. The Chiltern Society has done terrific work in my area of South Oxfordshire to replace stiles with kissing gates or gates, for which it should be commended. I walk as a helper with a visually-impaired group every fortnight. It has been so revealing on two counts: 1. it takes quite some time for each blind person to negotiate a stile and 2. most stiles do not have the facility to pass an assistance dog through, making it necessary to lift the dog, causing distress both to it and its owner. How much more enjoyable are the walks where they consist of gates and kissing gates, alone. My hope is that, by adding these barriers to OSM, it might be possible to compile a route and obtain a list of obstacles on it. That should make for a much more enjoyable walk, not only for the visually-impaired but others who might find stiles too much to negotiate, and give them the assuredness that none will be encountered. I wonder if an OSM contributor might create a simple method of carrying out such an exercise in one of its editors such as JOSM, say? Alternatively, I am reminded, suddenly, of my topic in Talk-GB last year here, https://lists.openstreetmap.org/pipermail/talk-gb/2017-October/020702.html, where I received extremely helpful replies from Roland. https://overpass-turbo.eu/s/sh7 identifies all PRoWs in Checkendon civil parish, if within the map area, having stiles. Removing line 3, "way(bn)[prow_ref];" in Overpass Turbo and rerunning the query displays the stiles themselves. How all of this might be made available to the wider public, I am not sure!

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02.10.2018-08.10.2018

Landuse und Landcover [1] | © GIScience Research Group, Kartendaten © OpenStreetMap-Mitwirkende

Mapping

• Auf der Mailingliste Tagging wird diskutiert, wie Namen von Gruppen von Seen gemappt werden sollen.
• Die Abstimmung für den Tag assembly_point:purpose=*, der festlegen soll, für welche Art von Gefahr – Feuer, Tsunami, Erdbeben, Tornado – ein emergency=assembly_point erstellt wurde, hat begonnen und endet zum 19. Oktober.
• Warin61 bemerkte, dass viele ÖPNV-Relationen Fehler aufweisen. Er beschreibt einfache Schritte zur Behebung der Probleme und die zu erfüllenden Mindestanforderungen, um nicht mehr im Validierungstool der Geofabrik OSMInspector als fehlerhaft angezeigt zu werden.

Community

• OSM Mali veranstaltet zum dritten Mal in Folge auch dieses Jahr wieder ein OSM-Training-Camp in Segou, bei dem Studenten der lokalen Universität für eine Woche lang OSM näher gebracht wird. Seit 2016 wurde so bereits über 70 Studenten das Mappen beigebracht.
• Lars blickt auf das Berliner Hackweekend im September zurück.

OpenStreetMap Foundation

• Jinal Foflia ruft dazu auf, Mitglied der OpenStreetMap Foundation zu werden. In ihrem Blogbeitrag erklärt sie, warum man mitmachen soll, was die Vorteile sind und wie man Mitglied werden kann. Sie weist darauf hin, dass in Kürze ein Programm zur Befreiung von Mitgliedsbeiträgen eingeführt wird.
• OSM US begrüßt seine neue Geschäftsführerin. Jaye Matthews, die aus mehr als 40 Bewerbungen für die neu geschaffene Vollzeitstelle ausgewählt wurde, hat mehr als 20 Jahre Erfahrung in der Führung von gemeinnützigen Organisationen, ist aber völlig neu bei OpenStreetMap.

Veranstaltungen

• Am 19. Oktober wird in Turin, Italien, eine Mapping-Party mit dem Schwerpunkt Rollstuhlzugänglichkeit organisiert. (automatische Übersetzung)
• Das Vortragsprogramm für den Stand des FOSSGIS e.V. vom 16. bis 18.10.2018 auf der Messe Intergeo in Frankfurt am Main wurde veröffentlicht.

Humanitarian OSM

• Die indonesische Tribunnews berichtet über die Bemühungen von OpenStreetMap Indonesien, das von Erdbeben und dem verheerenden Tsunami um Petobo, South Palu betroffene Gebiet auf der Grundlage von DigitalGlobe-Bildern vom 2. Oktober zu kartieren. (automatische Übersetzung)
• UBOS, Ugandas nationales Büro für Statistik, übernimmt eine aktive Rolle bei der Kartierung auf OSM. 11 Mitarbeiter haben gelernt, wie man JOSM, QGIS und mobile Werkzeuge für die Vermessung einsetzt. Es gibt viele Herausforderungen in dem Land zu bewältigen, und OSM kann dabei helfen.
• Matthew Gibb bittet erfahrene Mapper um Hilfe bei der Validierung von Straßen im Florida-Panhandle, da dort bald der Hurrikan Michael eintreffen wird. Eine Aufgabe im OSM US Tasking Manager wurde erstellt.
• Im September organisierten die Dozenten und Studenten des Centre for Interdisciplinary Methodologies der Universität Warwick einen Workshop zum Thema „Sinn für humanitäre Geodaten schaffen, um die Auswirkungen humanitärer Interventionen auf Gesundheit und Wohlbefinden zu verbessern“. Der Workshop wurde gemeinsam von Ärzte ohne Grenzen (MSF UK), dem Humanitarian OpenStreetMap Team (HOT), dem Bangladesch Humanitarian OpenStreetMap Operations Team (BHOOT) und dem Heidelberg Institute for Geoinformation Technology/GIScience Research Group an der Universität Heidelberg veranstaltet. Die Veranstaltung ermöglichte es den Teilnehmern, aktuelle Ansätze und Herausforderungen zu diskutieren und vor allem: wie man sie gemeinsam angeht.
• HOT erinnert daran, dass es Oktober ist – und das bedeutet Hacktoberfest. Das ist ein jährliches Event, das von Digital Ocean, GitHub und Twilio veranstaltet wird, um Beiträge zu Open-Source-Projekten zu fördern. Der Aufruf ist vielleicht nicht ganz uneigennützig, da HOT seine Leser an seine über 15 aktiven Open-Source-Projekte erinnert.

Ausbildung/Schulung

• Das Leibniz-Institut für ökologische Raumentwicklung, Dresden, stellt einen E-Learning-Kurs zum Thema freie Geodaten vor.

Karten

• Cartisan, ein kleines armenisches Kartographieunternehmen, erstellt eine topografische Wanderkarte des Dilijan Nationalparks in Armenien. Dies wird die erste moderne topografische Karte Armeniens sein.
  Die Karte beruht in hohem Maße auf OSM-Daten, da die Hersteller ihre Verbesserungen in dem Bereich direkt in OSM vorgenommen haben. Die Karte (Ausschnitt) wird ausschließlich mit FOSS-Tools erstellt. Die Schöpfer der Karte haben eine Crowdfunding-Kampagne zusammen mit dem Betreiber dieser Wanderwege, der nichtstaatlichen Organisation Transcaucasian Trail, gestartet, um die Karte produzieren zu können.
• Raymond Inzitari schreibt über die Gründung seines Unternehmens, das Holzkarten als Kunstwerk herstellt. Er brauchte über ein halbes Jahr Entwicklungszeit, um ein Modell zu erstellen, das OpenStreetMap-Daten verwendet, diese in eine Geodatenbank konvertiert und eine AI-Datei ausgibt, die für den Laser-Cutter benötigt wird.

Open-Data

• François Lacombe fragt, ob OSM an Veranstaltungen wie dem kommenden LinuxFoundation Energy Summit 2018 teilnehmen sollte. Er argumentiert, dass es für Energieinfrastrukturbetreiber immer normaler wird, proprietäre durch OSM-Daten zu ersetzen.

Programme

• Die nächste Version von VROOM, einer freien Software zur Lösung von Problemen beim Fahrzeug-Routing, wird Fahrzeitbeschränkungen berücksichtigen können. Die Funktion ist bereits für Beta-Tests auf dem Demo-Server des Projekts verfügbar.
• Keine Lust auf die teuren Kartenaktualisierungen des eingebauten Navigationssystems im Auto? Ein Raspberry Pi, ein LCD-Bildschirm und ein paar andere Dinge werden benötigt, um ein System zu bauen, das eine freie Navigation mit OSM auf Basis von OpenMapTiles und bei Bedarf sogar eine Rückfahrkamera ermöglicht.
• Generation Streets, ein auf Steam erhältliches Spiel, verwendet OSM, um eine beeindruckende 3D-Umgebung zu rendern .
• Richard Fairhurst veröffentlicht ein Proof of Concept für einen OSM-Editor, dessen Oberfläche in erster Linie an die Erfassung basierend auf Straßenbildern wie Bing Streetside oder Mapillary angepasst ist.

Programmierung

• Um ihre Projekte an den abgespeckten/geänderten Funktionsumfang von Oracles Java anzupassen, organisiert die OSGeo Foundation an mehreren Orten vom 22. bis 26. Oktober einen Code-Sprint für ihre Java-basierten Projekte (u.a. Geoserver) und sucht dafür Geldgeber.
• John Whelan fordert erneut die komplette Neuentwicklung von JOSM in einer anderen Programmiersprache. Er wirbt für die Nutzung des proprietären, nur auf Windows verfügbaren Entwicklungswerkzeugs Visual Studio von Microsoft. Andere Poster weisen ihn darauf hin, dass JOSM schon lange mit der freien Java-Implementierung OpenJDK kompatibel ist.
• Mitarbeiter des HeiGIT zeigen in einem neuen Jupyter-Notebook wie Twitter-Daten und das avoid_polygon Feature der
  Openrouteservice-API in Kombination genutzt werden können, um das Routing bei Hochwasserereignissen zu verbessern.
• Wenn Du Dich durch die Art und Weise, wie man Karten in einer Website mit Google Maps, Mapbox oder Leaflet integrieren kann, eingeschränkt fühlst, solltest Du Dir das Framework Vue.js und die Bibliothek d3.js ansehen. Mikhail Panichev schrieb eine Anleitung zur Erstellung einer interaktiven Karte mit den beiden genannten JavaScript-Tools.

Kennst du schon …

• … JOSMs Winkeleinrast-Funktion? Mit dieser Funktion kann man eine Linie parallel, senkrecht oder in definierten Winkeln zu einem Basissegment hinzufügen.
• … die Karte des öffentlichen Verkehrs (ÖPNV)?

OSM in der Presse

• Centésimo Mono veröffentlicht ein Interview mit Carlos Brys. Carlos Brys berichtet über einen ersten Mapathon in der Provinz Misiones und betont insbesondere die Bedeutung der Datenerfassung vor Ort. (automatische Übersetzung)

Weitere Themen mit Geo-Bezug

• Das schottische Parlament hat ein Gesetz verabschiedet, das es öffentlichen Einrichtungen in Schottland verbietet, Karten herzustellen, die die Inseln Shetlands „in einer Kiste“ darstellen (normalerweise vor Aberdeen oder neben den Orkneys). Dies hat auf Twitter zu einer umfangreichen Diskussion geführt, und Kenneth Field, ein ESRI-Kartograph, liefert eine detaillierte Aufschlüsselung, warum Insets („die Box“) die vernünftige kartografische Wahl sind. (automatische Übersetzung)
• Die Saarbrücker Zeitung berichtet über die mutwillige Manipulation von Onlinekarten wie Google oder OpenStreetMap und die Hintergründe hinter dem Vandalismus.
• Moritz Förster ist in einem Kommentar in der Zeitschrift iX – Magazin für professionelle Informationstechnik der Meinung, dass ein Code of Conduct eine politische Positionierung eines Projekts ist und sehr wohl Andersdenkende ausschließt.
• [1] Die Universität Heidelberg veranstaltete eine Mapping-Session, um die Leistungsfähigkeit des Crowdsourcing für Kartenvalidierungen durch die kollaborative Validierung der Landnutzungs- und Landbedeckungskarte von Genf mit den Daten von Sentinel 2 und OpenStreetMap der ESA aufzuzeigen. Dazu wird eine vorläufige Version der OSM Landuse Karte vorgestellt.
• Chris Wayne schrieb einen Artikel über die Erstellung von Karten für sehbehinderte Menschen. In seinem Artikel behandelt er die beiden häufigsten Ansätze, um eine Verbesserung zu erreichen, nämlich taktile Karten, d.h. fühlbare Karten und auditive Karten, d.h. Karten, die im wörtlichen Sinne sprechen.
• Ein weiterer Artikel, der sich mit den Bedürfnissen blinder Menschen beschäftigt, wurde von Nicola Byrne geschrieben. Sie erklärt, wie man mit einem OSM-basierten „3D-Audio“-System Blinde durch Städte führt, ihre Erfahrungen damit und wie es funktioniert.
• Friends of Earth haben ein 100-Sekunden-Video veröffentlicht, wobei jede Sekunde ein Prozent der verschiedenen Landnutzungen in Großbritannien repräsentiert. Mit dem Video wollen sie fragen, ob die Natur den Raum hat, den sie verdient.
• Der private Blog addshore.com veröffentlicht einen Artikel über die Zunahme von Wikidata-Items in den letzten 6 Monaten, die regionale Aufteilung des Wachstums sowie einige Hintergründe. In dem genannten Zeitraum wurden etwa eine Million geolokalisierte Items zu Wikidata hinzugefügt.
• GoogleWatchBlog vergleicht die Features von Bing Maps und Google Maps.

Wochenvorschau

Wo	Was	Wann	Land
Berlin	124. Berlin-Brandenburg Stammtisch	2018-10-12
Nantes	Participation au « Village des sciences » lors de la Fête de la Science à l’Hôtel de région	2018-10-12-2018-10-14
Frankfurt_am_Main	Intergeo 2018	2018-10-15-2018-10-18
Bonn	Bonner Stammtisch	2018-10-16
Lüneburg	Lüneburger Mappertreffen	2018-10-16
Karlsruhe	Stammtisch	2018-10-17
Mumble	OpenStreetMap Foundation public board meeting	2018-10-18
Hamburg	ITS-Hackathon "Mobility meets Logistics"	2018-10-19-2018-10-20
Karlsruhe	Karlsruher Hackweekend	2018-10-20-2018-10-21
Bremen	Bremer Mappertreffen	2018-10-22
Köln	Köln Stammtisch	2018-10-24
Lübeck	Lübecker Mappertreffen	2018-10-25

Hinweis:
Wer seinen Termin hier in der Liste sehen möchte, trage ihn in den Kalender ein. Nur Termine, die dort stehen, werden in die Wochennotiz übernommen. Bitte prüfe die Veranstaltung in unserem öffentlichen Kalendertool und korrigiere bitte die Einträge im Kalender, wenn notwendig.

Diese Wochennotiz wurde erstellt von Nakaner, Polyglot, Rogehm, SK53, SunCobalt, Tordanik, derFred, doktorpixel14, geologist.

Faux stone is made from Portland cement and iron oxide pigments for coloration. It is mass produced, which accounts for it generally more reasonable pricing. This is also why it weighs less than natural stone siding.

Ann and I took a break from work to fly via Istanbul to Dushanbe, Tajikistan, where after 40 years of variously studying, living, working, and traveling in the former USSR I finally made it to the 15th former Soviet republic. Somehow I had never managed until last week to visit Dushanbe. Of course I could not roam the city without collecting Mapillary imagery (mostly uploaded by now) and adding to OSM interesting sites we visited, or updating and augmenting the tags on existing entries.

One of the more interesting and engaging sites we updated was the three-room Museum of Musical Instruments. Watch this video with the sound turned up!

We also stopped in Istanbul en route and I visited the old neighborhood where I lived 1988-1990. I'll be adding names of some streets in that section of town based on Mapillary imagery.

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This was successfully accomplished on 12th October, 2018 with a total edit of 8,244 to take 2nd place in the Uniquemappersteam leader board. It took me quite some days (2 or more) to achieve this great result. I thank God Almighty for the victory.

I therefore leave with my reader these words of encouragement or motivation 'Life isn’t what you’re given, it is what you create , what you conquer and what you aim to achieve’ and Confucius will say ”The man who moves a mountain begins by carrying away small stones”.