Recent diary entries
So as i was mapping i figured out that some places have changes on the ground but the satellite imagery has not been updated and hence is not accurate to 100% Behind the Department of Geography and Environmental Science , there is now a building Called Diamond lecture theater which is directly opposite Geology dept .
I highly recommend this new video by Adam Franco: https://www.youtube.com/watch?v=x7SPb0JtheA
Good luck with adding polygons!
OpenStreetMap India community is excited to announce and host State of the Map Asia 2018 in Bengaluru on November 17-18. This is the 4th annual Asia OSM conference and we are thrilled to welcome OpenSteetMap community and share their amazing journey. Do check for interesting keynotes, talks and workshops in program schedule.
How do I register
This event is open to everyone, even if you are not speaking at the session :)
- Here's where you can find the tickets to register for the event: https://medium.com/state-of-the-map-asia/get-ready-for-state-of-the-map-asia-2018-12b2dce6c245
- Here's where you can find the visa (if you need one), accommodation details and everything else: http://stateofthemap.asia/venue/
- Follow all the announcements and discussions on the following channels
Looking forward to see you all!
In the second of a series of regular posts my irony gland is fully functional. Today I am cranking up OSMAnd to assist me in exploring Tuckers Knob with my bicycle and hopefully if I can stick to State Forests and public roads I will take the dog for company.
The Size of TIGER
There is a LOT of TIGER data, most of it still not even glanced at. And each TIGER road comes with a bunch of metadata tags.
Taginfo has the following statistics on common TIGER tags (as of Oct 6 2018):
- ~1,020,000 other tags with >20,000 usage
In the OSM XML format, each tag is structured like so:
<tag k="KEY" v="VALUE"/>
VALUE are the key/value pair for the tag of course. For example, a simple highway tagged with
highway=residential + name=Cole Mill Road + surface=asphalt is:
<tag k="highway" v="residential"/>
<tag k="name" v="Cole Mill Road"/>
<tag k="surface" v="asphalt"/>
Excluding all other metadata and node references needed to make an actual way this comes out to 119 bytes, with 34, 34, and 30 bytes for each tag.
Applying this to all of the above TIGER tags, total sizes come out as follows.
tiger:cfcc(3-byte value): 380 MB
tiger:county(assuming an average value of 12 bytes): 514 MB
tiger:reviewed=no: 380 MB
tiger:name_base(assume avg. val. of 12 bytes): 345 MB
tiger:name_type(2-byte value): 227 MB
tiger:tlid(around 200 byte values): 1.13 GB
tiger:source(30-byte value): 272 MB
tiger:upload_uuid(51-byte value): 334 MB
tiger:zip_left(5-byte value): 140 MB
tiger:zip_right(5-byte value): 126 MB
tiger:separated=no: 104 MB
tiger:name_direction_prefix(1-byte value): 56 MB
tiger:name_base_1(assume avg. val. of 13 bytes): 53 MB
tiger:name_direction_suffix(assume avg. val. of 2 bytes): 20 MB
tiger:name_type_1(2-byte value): 13 MB
- ~40 MB other tags
That all adds up to over 4 GB of data, just from extraneous import tags (I'll bet NHD imports are even larger ... oh boy).
With the current
planet.osm (uncompressed) sitting at around 960 GB, all these TIGER tags make up a whopping 0.42% of all OpenStreetMap data! Wow such large.
This doesn't really conclude much, but it was a fun experiment. I had expected the number to be much larger, but even the vastness of TIGER doesn't compare to the rest of the world.
Still, most TIGER data is misaligned, low-resolution, incorrectly classified, inconsistent and straight up wrong.
If you'd like to help cut down on TIGER data, I've created a Maproulette challenge for my local area and progress is being made!
I'm thinking about how best to tag LGBTQ venues, (e.g. "gay bars"). And I'm not sure how to do it. I've started a thread on the tagging@ & diversity-talk@ lists.
Initially I thought
lgbtq=yes was a good tag, but now I'm not sure. Does anyone have any advice for a way to tag them in keeping with the OSM tagging conventions?
lgbtq=primary is a good idea. So a LGBTQ bar/"gay bar" would be
At first, I felt nervous I don't have an idea about Mapping. This is the first time I heard about it. But it made me feel excited too. By simply mapping, you can help other people not only about disasters/ calamity even in simple thing like mapping the Breastfeeding station. May some of us can't think about it at all. But it is so important for all the mommies whom need to breastfeed their babies outside because for some of them it's awkward. This is the one thing that made me realized like" wow" you can help some other people by mapping even some doesn't think how helpful it is. May some it's just simple but you considerate yourself other people whom badly need this. It made me impressed! In 3 months of mapping experience I do really enjoyed it. May I am not the same with my classmates who contributed so many edits. But I swear I enjoyed my mapping journey. I saw the importance of mappers out there. So guys keep it up! Amazed me!
- Added Pier P gate numbers
- Added Pier Q gate numbers
- Added Pier K/L gate numbers
I recently added the final gates in klia2, which is located at Pier J (Domestic). That's the main message, however someone have added some lengths of lines connected to the taxiway. Unfortunately, these are not visible in the regular OpenStreetMap layer.
Apparently, they are the
aeroway:parking_position paths. These paths are self-explanatory, which are the ones followed by an aircraft to safely deliver passengers to the parking spot (and terminal gates). Bing satellite imagery provides a clear view of these lines to be added.
That's the motivation to complete the Pier K/L parking position lines in Changesets 63867934 and 63868266. Actually, there are some paths that are still unmapped, specifically in the gates K20, L20 and L22.
aeroway:parking_position lines will be added in other piers (and hopefully Terminal 1) soon, to make the entire KLIA to be better mapped for the public.
When we started our CWTS++ class, we were given tasks that we will map our neighborhood by the end of the semester. But before we started mapping our neighborhood there were applications that our instructor introduced to us that can help us to map our neighborhood in easily. Fieldpaper is the first application that we used, fieldpaper is a web-based tool for creating a map atlas for any place in the world that you want to print. This tool helps me a lot when I mapped my neighborhood because there were many houses, building, apartment, and convenience stores that are not specified in the fieldpaper. When I started walking around my area I discovered many buildings and houses that were not specified in the fieldpaper, so I collected all the information of the buildings and houses including the streets and the house number. After that I've collected all the data then I will put it in my fieldpaper. And also I will transfer all the data I've collected in the Openstreet map. Openstreet map is the second application that we used, its looks like google maps but the main difference between these two applications is that every edit you make to Openstreetmap is owned by you and the community, while every change you make to Google Maps will be owned by Google. Mapillary is the third application that we used, Mapillary is a collaborative street-level imagery platform for extracting map data at scale using computer vision. Images from any device are combined into a visualization of the world to generate data for improving maps, developing cities, and progressing the automotive industry. Mapillary’s tools enable anyone to collect, share, and use street-level images. I've use this application to capture my neighborhood and after I capture all the streets that are included in my fieldpaper, I will upload the pictures in Mapillary, many people can see it and can use it as a guide. Even though my contribution is not to much atleast I tried my best to help others and my neighborhood by the use of different applications that are very useful when I mapped my neighborhood.
After some months of intense work, we released a new version of OSMCha this week! This release includes two big changes: now OSMCha is compliant with the GDPR and we have a new way of receive and store the features.
We simplified a lot the way we store information about the flagged features. It will allow us to store more features on our database and it will be easier to the communities to add features to OSMCha. The documentation of this new resource is available on our wiki. If you need to monitor some kind of changes on OpenStreetMap and would like to use OSMCha for it, please contact us on our mailing list or opening an issue on our GitHub repository.
The GDPR is an European Union law that has the aim to protect the data and privacy of the individuals. To attend the requirements of the GDPR, now the users need to login on OSMCha to see any information about the changesets. However, after you sign in, you won’t notice any change and it will continue working exactly in the same way.
If you notice some error or have some new ideas for OSMCha, please don’t hesitate in contact us. We hope it will open much new possibilities to improve data validation on OSM.
When I choose to be part of cwts plusplus. I'm so consufed on what we're going to do. I have no idea in what we're going to do, but when the days running the questions on my mind are already answered. Like for example, how to do this particular thing? how to tag this little thing? Just like that. I had a great experience in this class. I learn different things like for example mapping a specific locations. Also it so much exciting when you are doing a mapping. When you are doing a mapping, is so hard when you are beginner but when you practice your self you will be better when you are doing mapping. When I do presenting last september, it such a good experience because we had a visitor from Red Cross. When I do presenting i'm so nervous because I don't have self confidence but when I see my classmates smiling to me, my nervousness disappear. I believe that if you really what to do something, you are motivated to do it. You are inspire to do that. I'm so glad that I've been a part of this class. I learned a lot to this session! #pupsjcwts
In mapping our neighbourhood, I used OpenStreetCam, since Mapillary was unable to function in my phone, to take some pictures and it was automatically uploaded. Since some of the images that I captured was not detailed, I also did mapping by walking and roaming around in our neighbourhood then putting the data in my field paper. I observed that there’s a lot of shops especially sari-sari store, schools, unnamed streets, unnumbered house and etc. To put the data from my field paper to OpenStreetMap, I used JOSM editor. By pressing ‘B’ in keyboard, it will draw and tag buildings automatically. I also downloaded house number tagging tool to tag house number and the shortcut for this is pressing ‘K’. Then using node and pressing ‘F3’, the presets will have different tags to use like for example, “sari-sari store” tags as shop=convenience, “schools” tags as amenity=school and etc. I realize that this program is something that I will treasure in my college life. Sounds dramatic but I am lucky and glad that I join to this program because I have learn so much about mapping. I also realize that helping the community is not all about joining cleanup drive, blood donation, recycling program, and etc but sitting, using laptops to map the neighbourhood or even some parts of the world is an also incredible thing to do to help community (I hope you can get my point here :D). Besides, I learn how to cooperate and associate to my groupmates or even my classmates. We are making a “bayanihan” in a simple classroom and together helping the community by mapping. Lastly, I also want to thank our instructor in guiding and teaching us about this program. I sincerely appreciate his commitment in our class.
My favorite part of OSM is categorizing the buildings and roads. I am getting much more efficient, and I am even exploring areas further away from my home location. Unfortunately, the one part of my process that has let me down is my android phone device. I am surprised by this, but I think it shows focus has moved away in this time of the ubiquitous android phone.
When I am on the ground checking road names and intersections, it is hugely helpful to check my screen for OSM data. It has replaced all the pen and paper requirements. But the one thing that I cannot see is whether the no tag is present. The lack of this information has had me checking streets where I had already checked previously.
And I fairly often map address nodes on the edge of building ways, since there are often multiple addresses associated with one building, and the only way to map them when doing a ground survey is by mapping the addresses seen on the entrances.
At last, I am finishing mapping the 50.0 m satellite imagery of my neighborhood. It took around 2000 nodes plus on my total edit. To be honest, it was difficult to map my neighborhood. Because of the dense and subdivision area that I live in, in short, too many houses. Another difficult thing is the imagery. I've used two imagery which was Bing and DigitalGlobal Standard imagery. I've kept on adjusting the imagery offset because of the misalignment of Bing to DigitalGlobal Standard imagery. After mapping and adjusting the imagery, I move on to naming variety stores or "Sari-sari store" in Tagalog and other important buildings. In the end, it felt good even when there was some obstacles in mapping my neighbourhood.
On the street-level imagery, I have finished capturing data from my neighborhood. It took me 1 day to finish it. I biked all the way while holding my phone landscaped. I started capturing at early morning and I finished it at around 8-9 am. It was very tiring due to re-capturing some errors. I've finished capturing and uploading 351 images, it was very satisfying at the end of the day. Well I hope some of my neighborhood will appreciate my work (if they know osm and mapilliary) but except for the guard that told me that I was doing something against the law. Overall it was fun and achieving.
At my CWTS++, it was also fun and achieving because of the nodes that I've uploaded to OSM, it was a big help to people who need guidance and information on the times that they need it. Creating a node in JOSM and using imagery is also creating an information. It may be wrong or correct node but it is already a voluntary act. With that I learned something voluntary and at the same time my future career can get from it. The 11 sessions that I went through in CWTS++ was thrilling, it made me adapt from it. I learned many things in this program, including mapping (of course) concept of mapping, tools for mapping, and importantly applying the knowledge. A big thank you to our director of this program. I will continue my mapping adventure until the end.
It was a great experience to be part of this mapping session, we have learn many things it was an honored to help others. In the first day of our mapping session we have no idea what we are going to do but our professor tell us that we are going to map, for me i was very interested because this kind of thing was new to me so i tried to map at my home, i didn't know that there is a leaderboard which where you can see all the edits we had done then i tried to look at it, then i was suprised because i didn't expect that im the number one in the leaderboard, so starting at that day i challenge my self to maintain that ranking that is why i continued mapping and mapping.
In mapping my neighborhood is not that just easy, for me its very hard since im not that familiar in each house numbers in my place so what I did was I mapped those building that I had known and one of these buildings are stores, water station, computer shop, laundry shop, bakery etc. in a case like this to be more informative to others we must put tags in every facilities or building that we'd known one of example of this is adding a tag in laundry shop.
In mapping street views we used mapilliary this is an app where you map in a way of video form that once you have saved it, it turns to a series of picture like what you have been seen in google map which is google street map. In this kind of mapping since we captured those different places we are able to see different information in the surroundings that we can use to add an additional information in osm, an information that satellite couldn’t see that mapping manually could do.
In mapping we used different application to map, one of these are ID or osm and JOSM. In mapping our neighborhood since we put all data that we had gathered in a printed map, we take a picture of this and upload in fieldpapers.org and using that picture we can easily map because that map where we put all data will be shown in screen, it is like it attached in a digital map that we have been using it is just like a guide just for us to map easily.
In JOSM is the map editor that I had been like in the rest off all so far why? because its very easy use and to draw building and roads unlike the id or osm. In terms of my edits, most of the time i'd edit, i'd usually focus on buildings why? because base on my observation and also on what i had seen in osm was buidlings are rarely map by other mappers and what i think is they are focusing on roads so that's why i had to focus on buildings. The type of buildings I've been mapping are usually a row house, i do really like mapping villages particularly in cavite area.
Mapping is one of the best experience that I had experience, aside from helping others in a way of mapping their places just to be more accurate and informative for those people who having some research or study in those particular places because of unexpectable happenings due to disaster that occur in many places. I am also happy for what we had done just for the many others. We also learn how to have a great values on each other in way of helping others. We realized that in single or amount of time we had gave in this project we are also helping a lot of people. Every one of us can give a little time and for the people you give with im sure they will be happy and glad because they have given help from kind of people or a person like you.
I entered the CWTS++ sessions with no idea in my head of what it was and basically what we are going to do. I was longing for a wonderful and surprising experience that the sessions might serve me. Yet indeed i was really surprised about the things that we were capable of doing with mapping. When everything was properly explained, it began to be so interesting and exciting that all of us can't wait to go to the open street map to explore it on our own. I first started looking for my house, a friend’s house and even my classmate’s house. I couldn't wait to create my first edit.
My first edit wasn't actually included in the first task. hehe. I added the name of the building where i actually live in because there was no name on it. I used the iD Editor because at that time that was the editor that we have been introduced with. The following edits i made where a contribution of adding features such as buildings, streets, area and etc. on our country, the Philippines. And wow, we almost finished it in a matter of weeks. It was exciting adding helpful things on the map. I actually find mapping being so relaxing and it makes me more focused and i also feel fulfilled of the things that i have achieved in my mapping sessions.
Not be biased or so, i am quite disappointed about Google maps that they lack the services that openstreetmap offers. Google is the most used platforms in the internet yet openstreetmap is a hundred percent better at all costs. For example, I didn't know where PUP San Juan was when i was enrolling. I know how to go there using our own family vehicle but i have no idea how to use public transportations for me to be able to go there. When i learned that openstreetmap provide the public transportation routes on their maps i was amazed and in awe realizing that this platform really does help people. Especially for people like me who aren't really used to going out alone and isn't really familiar with such places.
That's when i actually knew that this is going to be the map that I’m going to use from now on. It has the places such as restaurants that are hard to find, it has information that are being shared by other people, information that are actually helpful, and it is like the next level of normal mapping. Everything is there. But to be logical, it is fairly impossible for everything to be mapped, that is why we volunteer to map to help other people.
At first i was like how? but then it all made sense when my proctor elaborated the fact that there are people in the world that is not on the map and were having a hard time being located by the government to be able to receive help whenever they are in need. There were times that we urgently mapped those places that are in a state of calamity for the authorities to be able to reach them in no time.
We also have a task to map our own neighborhoods and this is where we are introduced to other useful tools such as the field papers where we can render and export our neighborhoods into a printable type of document. The fieldpapers where really helpful it is like the top view of what you are seeing in reality that is why it is easier to map what building is what especially when it comes to the house numbers and names of the stores.
The next platform is the Mapillary wherein we took photos around the neighborhood to have a street view of it. I find this helpful especially when i forgot what building is what i just look back on what i have photographed.
All of these tools and procedures made me more familiar in the place that i live in and made me understand more of the ambience it gives. I am now aware of what was around me all these times. I have been living in this place for only 3 years and i really refuse to go around and wander the streets of this neighborhood due to the fact that there were lots of incidents that have happened in this neighborhood.
Mapping my neighborhood is the most exciting activity in CWTS++ because it is a process not an all-out activity that you have to finish in a day. I like how we can consult each other and my proctor about the things that we have already mapped and the information that we have gathered. I like that we are slowly building things to be able to achieve a certain success in mapping our neighborhoods.
Though there were still things that i have done in this semester in CWTS++ like being the diarist, being responsible in borrowing materials that are going to be used in the class and failing to do so. I like the fact that every last Thursday of the month our proctor invites speakers that has platforms and missions that acknowledges the use of openstreetmap. Thank you to all the speakers, it really helped us be awaken by what are the things that we really need in this country.
This experience has been so interesting even from the start and I will be forever thankful for this. It gives me the feeling of productiveness. I never knew that I could provide a willing service to people in such a small way of mapping. I am proud that I did this as my NSTP-CWTS because it is something that is very unique and different that it makes me feel proud and honored to be a part of this mission. I am still willing to map and I will never going to forget about what I have learned in all of the sessions. I would like to thank Sir Olario for teaching us with patience and thank you for this wonderful experience. Hope to see you soon again! This Is not the end of my mapping journey :)
The time our prof announced something about mapping, me and my friends got curious about it. Per section, only 25 volunteers were allowed. That’s why, we volunteered for it. And fortunately, we got in. At first, I have no idea about mapping, I got curious that's why I entered this subject. But as soon as the class started, it was explained to us what really mapping is. It is about mapping the places that was not yet mapped. When I learned about this, I tried doing it at home, I tried looking for places that was not yet in the map. I put them in the map and put labelings and names on it. Coffee shops, basketball courts and many more. The first time I edit a map, I started with only 11 edits. Then I saw my classmates that they already have 200+ edits. I was challenged to do mappings because of my friends. When I mapped the vicinity of Visayas, it was all wrong because I am not familiarized with the place. The buildings and row houses were not organized or aligned. But I immediately arranged it. That's why my edits went higher. I realized that in order for us to make a map credible for the people, we have to assure that we know what we are writing.
When it comes to neighborhood task, we used mappillary. But unfortunately, I have no phone to use it. I tried borrowing phones from others but of course those phone were not always available. So I'm just working on my fieldpapers. I went around on my neighborhood and I'm not able to see their number in house so I can't encode in my fieldpaper. But the buildings that doesn't exist in OpenStreetMap like sari-sari store, hardware, internet cafe, grocery, fastfood chain in my place are already added my me and save it..
I also used JOSM in my mapping tool because it more fast and efficient in mapping. It's more easy to map buildings but sometimes, I can't identify if there's a building or it's just a land field. But overall, I prefer to use JOSM.
I am very happy to be part of CWTS++ because by using technology, we can help our community. We can give accurate information in certain place that can help in their needs. OpenStreetMap is an open source and all of us can use to help our community. It's not all about mapping, we are all here to help, to learn and to work together as a family. And again, thank you for being part of this program. Thank you for the opportunity and God bless.
CWTS ++ is a brand new CWTS that was implemented by our great professor Erwin Olario in Polytechnic University of Philippines, San Juan Campus. What we do in CWTS++ is different from regular CWTS. We aim to digitize map through OpensStreetMap OSM Id-editor or JOSM. We map roads, buildings, waterways, landforms etc. We prioritize areas that are in state of calamity or areas that were destroyed by the calamity to help the government execute their plan on the said areas. Before our program started, I am expecting that I could learn a lot from this program and I could hone some skills that are required in this program. And CWTS++ did not disappoint me. I learned about Openstreetmap which unfamiliar to normal citizen, I’ve learned new skill which mapping which helps me to contribute with this program and I think my spatial-visual intelligence improved after undertaking CWTS++. Our last project is to map our own neighbourhood. We are required to use fieldpaper to map the house number without using any gadget which makes the mapping portable. I’ve experienced walking for 30 minutes for 3 days. On the first day, it is embarrassing walking around, sight house number house to house and taking down notes house numbers because some people might think that you are planning something bad. On the second day and third day, I didn’t think of it in that way so I finish my fieldpaper without worries.
We are also required to use Mapillary which is an application used to capture street-level images that will help to support the details on your fieldpaper and will contribute more information on OSM when uploaded. Unfortunately, I didn’t fully enjoy Mapillary because the satellite can’t locate my phone properly so I just only got to upload small amount of Mapillary-captured images. And the final step is putting the data of fieldpaper to OSM so that the data you’ve gathered would be uploaded to OSM and make it beneficial to community. I used Id-editor to edit the tags of buildings. While doing this, I feel happy because I contribute to my neighbourhood with hard work and effort. I am thankful that I have experienced mapping not only on my neighbourhood but also on other part of the country. I really enjoy every session especially every last Thursday of the month when there are guests sharing their experiences mapping. It is really a great honor and opportunity for me to participate in CWTS++ program.