Recent diary entries
Found 127 incorrectly placed location points in downtown Santa Fe, NM (probably from a weirdly geocoded import). Some are duplicates, some misspelled, some no longer extant. Recorded in note #901862 so that I can begin process of replacement/correction.
Parking lot and Buildings on road back of Hospital Buildings are not marked on Map This road joins to Kingsville-Ave on oneside and to Moross Road on the other side. Parking-lot on back is for Main Enterence of Building One. An office on back is where this Vehicle is Paked
We've got an OpenStreetMap London pub meet-up tonight!
We're managing them approximately monthly these days, so last month we had a pub meet-up to kick off 2017. We went to the Wenlock Arms. It's a nice little pub which almost got demolished but was saved after a campaign. Now with all the big new buildings around it reminds me of the very last scene of Batteries Not Included. But they have modernised a little. I remember their rather sparse pub website used to link to OpenStreetMap, but sadly their website was since rebuilt by some boring web designers with boring google maps.
I remember it used to be good for real_ale=yes, and that was certainly there still. Crazy strong stuff. Luckily I'd stuffed myself with fish n chips before arriving because food=no! But it does have real_fire=yes!
(Another photo for the real_fire=yes tag)
So with strong beers and a glowing fire we quickly got chatting about all things OpenStreetMap. I've lost my notes, but I remember meeting Scott Davies and talking about Australia and Walthamstow. And meeting two guys from Geolytix who I keep hearing about via Open Data Institute connections. They provide data on ratail outlet locations using OpenStreetMap among other sources.
Good to have some new folks along. If you fancy joining us for the next OpenStreetMap London pub meet-up... it's TONIGHT at the Blue Posts. All the details on the London wiki page. You can also sign up on attending.io if you fancy it. If you're not sure how to recognise us, the above photo will give you some idea, but it's a good idea to turn up a bit late (like 7:30 onwards) By then we should've assembled in our maptastic huddle. I've got my hi vis jacket with me to today, and I'm sporting my navy blue SOTM 2016 T-shirt in celebration of the fact that I've got my flights booked for SOTM 2017!
- Go to overpass link :- http://overpass-turbo.eu/s/mRF
- Click Export and take level0 editor [About 20mb]
- Browse and add each wikidata qid and upload wikidata = Q25203056
- QIDs of districts can be found in this link :- http://tinyurl.com/jbkfn6p
District Map in English Wikipedia:- here
District Map in Malayalam Wikipedia:- here
This month I came back to work on development of OSMCHA, a project that I started in the middle of 2015, with the aim of helping to detect potentially harmful OpenStreetMap edits.
My motivation to start OSMCHA was that I felt that we needed a better tool to monitor changes made to OSM data. Looking at statistics of how many nodes were created, modified and deleted in a day in Brazil, it was common to see some peaks in the number of created or deleted nodes. This made me curious to know - where are those changes... Has an import been made? What is the source of the data? Has someone deleted an entire town?
Furthermore, sometimes we discovered changesets that explicitly said that the data came from Google Maps or some other inappropriate source. Despite that information being expressed in the changeset metadata, it was common for those edits to remain in the OSM database for months or years without anybody seeing them.
As it is impossible for the community to review all edits, my idea was to create a tool to point the changesets that potentially can damage the map and to analyse the metadata searching for suspect words.
I showed OSMCHA for the first time in the SotM Latam 2015, in Santiago, Chile. The Mapbox data team became interested and started using it. Moreover, they developed some new features and now I'm very excited to announce that Mapbox is sponsoring my work in the next few months to improve OSMCHA.
In the last two weeks we enhanced documentation, lifted test coverage, cleaned up the code and prepared the code-base to receive the updates we are planning. The main move we are planning to OSMCHA is to rebuild the interface and make it map-based (instead of showing the changesets on a list, we want to exhibit it over a map). We have some ideas to make it easier for users to review the edits in their area of interest, have some notification features and improve the analysis of changesets, among others...
Nevertheless, we want to listen the suggestions of the OSM community to build something better. If you have never used OSMCHA, try it on http://osmcha.mapbox.com. You can post your feedback and ideas here or open an issue on our github repository.
Finally, I would like to thank Mapbox for the support, specially Sanjay Bhangar, who since the beginning was excited about OSMCHA and believed in the potential of the project!
Read other posts about OSMCHA:
The new Year Showing the promise to become a year of recognition & opportunity I guess! Just been selected as a "Voting Member" of Humanitarian OpenStreetMap Team (HOT)!!!
Becoming more integral part of the HOT community is like a dream come true for me. I am sure the recognition will boost my moral and strengthen my voice to represent HOT in both local & global arena. This will motivate me more to dedicate myself to the cause & the community. I'm damn sure that there were many awesome HOT community members who might deserve to be in the team and their turn will also come in a very short period of time. It must have been very tough!!!
For me it was quite a surprise when Pete Masters informed me that he has nominated me as a candidate. I can remember I was asking him whether I'm ready for this and his answer was more than ready!!! I would like to take the opportunity to thank him and the others who have shown the faith on me and supported me throughout my short but eventful journey with #hotosm. I would also like to thank Ahasanul Hoque and the whole community of OSM in Bangladesh for their wonderful, illustrious efforts, commitments & achievements to the cause HOT is continuously working for. Each & every recognition I have & will achieve in this field will always be considered as the glory of your works & support. without you guys I'm just nobody!!!
I would like to congratulate all the new members in the panel who got selected. Thank you guys for your contribution and efforts that made you securing the seats.
Eagerly waiting for the formal introductions to new roles & to carry out the new responsibilities... :)
In August 2016 I was in the Portland, Oregon area for business reasons. I was however able to squeeze in some hiking time to enjoy the nice scenery that Oregon has to offer.
Among others, I found a hike along an abandoned stretch of the Port of Tillamook Bay Railroad online. The description sounded like a post-apocalyptic thing, so I was too curious to not do it. It was a great experience, and gave a good feeling of the forces at play to cause the destructions as seen there, which were 3 storms and the resulting water levels in the Salmonberry River.
However, when I later browsed the area on OSM I noticed that the Salmonberry River is not on the map at all. That could should not be the case, so I saw an oportunity to make my first big contribution to OSM.
Therefore I retraced my steps and combined it with info from USGS Topo maps to fill in the blanks and map the full river. Next to that I noticed that the Port of Tillamook Bay Railroad as imported from TIGER data, was not really accurate in position and none of the bridges and tunnels were put in. So I had work to do.
Five mugs of tea, one coffee, a skipped lunch, an emptied bag of Trail Mix and 13 edits later the whole river is mapped, the POTB railroad position has been corrected between Nahalem River and Wolf Creek Trestle, a few bridges have been put in and the Nehalem River has been slightly adapted. A bit more work to do, but I keep that for later! - A bunch of side branches that drain into the Salmonberry River - The tunnels of Port of Tillamook Bay Railroad - The Port of Tillamook Bay Railroad bridges east of Enright
I learned a lot about mapping and tagging today. I hope that will aid my future mappings and result in a short cycle time :).
Links: The hike @ Oregon Hikers
The Salmonberry River Link
Case in point: https://www.openstreetmap.org/node/1955249541
It's a bakery set up by anarchists and it is self-managed. There are also examples of self-managed coops, for which I can't find documentation on the wiki. It's also worth debating whether it would be useful to differentiate between coops and more generally worked-owned establishments.
What are you views on it?
What shall we have for diner tonight?
Improving the OSM map - why don’t we (14)
Some thoughts on restaurant and food-tagging on OSM.
A restaurant is considered an amenity and tagged with amenity=restaurant.
One would expect that in order to show what type of restaurant this is, or what food you can eat there, the next step would be:
After all, this is accepted:
But, alas, OSM is differently and so a new tagging was introduced to indicate what we can eat in a restaurant. No, they didn’t choose: food=* , but came up with:
So, the correct tagging for a restaurant and what is served inside is:
This is not so bad at all, because this scheme allows you to tag many more places where you can eat, but which are not considered a restaurant, like a cafe, bar of pub (or a railway station or book shop).
There are some curious constructions however, because to tag a Burger King (or any other fast food restaurant) you can do so in two ways:
By itself, using fast_food as a value for an amenity is rather strange, because to me, fast food is a type of food, belonging to cuisine, not an amenity! (Would you use highway=asphalt? No, of course not, because highway=* expects a function of the highway it describes, not its surface).
The addition of the cuisine=* in the last case is maybe not even necessary, as hamburgers are core business in any fast food restaurant.
Over the years the list of values to assign to the cuisine key has grown (and will keep to do so) and now (february 2017) we have two basic groups in the wiki:
- 40 values for the type of food (like fish, meat, pizza, burger, kebab, soup, etc.)
- 53 values for the ethnicity of the food (like italian, greek, chinese, mexican, etc.)
As values from both lists can be combined, this introduces a rich array of possibilities, but also adds confusion. For some people “eating Italian” just means having a pizza ordered, to others it is soup and pasta or a 5 course dinner in a restaurant.
I did some research on the different ways people have used the above tagging system to map restaurants and what you can eat. After all, it is likely that you can eat a variety of food in a restaurant, and that, in turn, requires multiple values to be assigned to a single key.
(note: there have been many discussions on the tagging list as well as numerous postings on the forums on the best way to add and handle multiple values for a single key. Most seen is that different values are separated by semi-colons as can be read in the wiki, but some people think you shouldn’t use multiple values )
Suppose that we allow 4 different values (out of 40) to be used for the type of food (like burger, chicken, donut and kebab), that would give us a maximum of 2 193 360 different combinations. Of course not all combinations make sense, I don’t expect fish-pancake-noodle-casserole to be a frequent combination.
Choosing from the 53 ethnicity values would even give much more possibilities, but, again, not all are to be expected.
I found (among many others) the following combinations (from both lists) in use:
I also found:
In the above list I have marked in bold type those choices that are not in any of the 40 food (or 53 ethnicity) wiki values (excluding the entries in non-Western script). In the current taginfo database there are 21878 occurrences of the cuisine=* tag. The one used most is cuisine=regional that is used 62291 times. But there are also 17849 occurrences of that key which appear only once, but every time with a different combination of values like I showed you above.
The last multiple value in the list above is italian;pizza which has been used 948 times. What exactly does it mean? Pizza is Italian so why bothering adding that also? A simple cuisine=pizza would suffice, or does it mean that you can eat all and every Italian food in a restaurant tagged in this way, but maybe with pizza as something special? I don’t know.
Usually, when a key=value pair occurs only once, it is considered likely to be a typing error (like cuisine=piZza or highway=terziarie) or a new value made up by the mapper (like cuisine=romanesc), but the small sample (taken from the full list of 17849 unique cuisine=* occurrences) above, are not typing errors, but taken from all the possible and valid combinations. How many such combinations are possible? Assume that we allow 2 choices from the ethnicity values and 4 from the food values, then we have a maximum of 53 x 52 x 40 x 39 x 38 x 37 = 6 044 900 160 possible values for the cuisine=* tag! (Yes that is: six-billion fourtyfour-million ninehundred-thousand and onehundred and sixty)
Which way to go?
I have seen proposals of adding the complete merchandise of certain shops to the OSM database. By doing so we would be able to query OSM for “the nearest shop where I can buy an ironing board”
To me that makes no sense at all, as there is no way of getting all that data reliable into OSM. And maintaining it would be an ever bigger challenge.
Should we try to do the same with restaurants and food?
Given the rather careless manner in which the multiple valued tags for cuisine have been used (a result from the database design we are using which allows for any combination of keys and values - in any language - without any error checking at all), I don’t see any usability soon for applications - based on what is in the OSM database - that can compete with what already is on the market for customers. Have you ever spoke to anyone who tried to find out where he/she would go for dinner tonight - including selecting what to eat - by using OSM?
One - fairly big - problem is that roughly one-half of the restaurants has no cuisine tag at all, making it useless for what you were trying to find out (“what can I eat?”).
I know that we can put anything in the OSM database, but we cannot put everything in it.
Let us focus on getting data (as much as we can) into OSM that turns it into a great map (that includes showing where I can find a restaurant), but shall we avoid creating a mediocre restaurant and food guide?
Its now possible for someone to use the 'locate me' control when adding their business; a small but important improvement for mobile users.
iandees has also been kind enough to clean up a few existing pull requests around internationalization - onosm.org now supports English, Portguese(Brazillian), and Italian. If you'd like to localize it, its really easy - just fork the github repository and create a new file in the locales directory.
There are a few other experiments for it pending, such as 'sync my business details from a facebook page I own', or 'upload details of 5+ locations from a CSV'.
Ultimately, I'd be keen to provide an experience similar to a 'manage my google listings' scenario - both google and facebook have seen a lot of uptake from business owners. While business owners dont have quite the same incentive with OSM, I am really keen to make it as easy as possible if they choose to publish to OSM.
There are a few other ideas in the works, like "Invite a business owner to share/update their details", or "check how my OSM listing appears on open data sites - maps.me, mapillary/openstreetcam, missing attributes, etc"
What do you see as the ultimate, simplest entry point to getting a business onto OSM with accurate, useful details?
I've been working on a JOSM script to expand abbreviated street names. There are hundreds (if not thousands) in the Plainfield, IL area.
This is extremely tedious work without so form of automation. So far I have reviewed every name change and it's been working awesome.
I wrote up instructions at the GitHub link above. Give it a try yourself or let me know if you find an area with a lot of abbreviated names.
It gives me great pleasure to announce that the OpenStreetMap website now has a context menu! Also known as a right-click menu:
Yesterday was a great day as I had chance to be a part of the mapping work shop held in Uganda Christian University Mbale, Uganda. We had a chance to be reminded of the good mapping practices and tips and also introduced to validation. it was a great excitement to us all learning how to validate and giving feedback to people who mapped the tasks. All thanks to Mr. Kateregga Geoffrey for the great work done.
pub: 3250 vs. place_of_worship: 3476
pub: 4858 vs. place_of_worship: 6372
pub: 3963 vs. place_of_worship: 7625
pub: 686 vs. place_of_worship: 5259
pub: 129298 vs. place_of_worship: 843735
I've just written to the UK and London mailing lists, suggesting a bulk edit to fix the outdated "network=Barclays Cycle Hire" in London. Harry proposed this 1 year ago.
Happy Cow is a website listing food places that vegetarians and vegans can use. The site has been going since 1999 and seems pretty well-established. I've proposed a tag for cross-referencing against Happy Cow.
September 21 2016 saw me receive the chilling news about The Chancel Tax.
Throughout the rest of September & October I kept my head down & mapped to the West then North. By 23 November it was Arnold Lane outside Scot Grave Farm heading south-east and suddenly we caught a distant view of the church again:-
All my mapping was now heading towards the church, and by December, then 2017, there were constant opportunities for closer & closer views of the church:
February 13, Arnold Lane 1:
Stumbled upon this mistakenly dragged node thats been hanging around Sheffield for the last two months. Considering its not fixed despite having a highly active mapping community, wonder if some tooling could have helped flagged this to local mappers sooner.
Ideas on how to prevent such edits in future? Any existing QA tools that highlight this?
These days, every ski enthusiast keeps an eye on St. Moritz (Switzerland), the host of the Alpine World Ski Championship 2017. As ski and map enthusiast, one of my eyes is always on skiing while the other is on mapping as well, more specifically on community mapping with OpenStreetMap. While watching ski races on TV, I had the idea for taking a closer look at skiing-related features in OpenStreetMap, in particular on the St. Moritz resort, but also skiing resorts worldwide. In this blog post, I conduct an analysis on OpenStreetMap features related to alpine skiing, revealing the evolution of aerial lifts and ski pistes. Following the spirit of the ski world championship, I award gold, silver and bronze medals to outstanding OSM contributors.
Pistes and aerial lifts at the Corviglia-Marguns-Piz Nair winter sports resort at St. Moritz, Switzerland, host of the 2017 Alpine Ski World Championship (WC) (Map data and background: © OpenStreetMap contributors; yellow area indicates WC race pistes)