maning's Diary Comments
Diary Comments added by maning
|Targeted Cleanup with Overpass Turbo Queries||over 2 years ago||
Another approach I do is: 1. Download features from overpass. 2. Load the features to JOSM’s Todo list. 3. Start resolving items while the “Download OSM data continuously” is active. This makes sure you have the latest data each time you fix and item in the todo list.
|Urban Aerial Imagery Collection and Other Things||almost 3 years ago||
Sa uulitin Leigh!
|State of the Map Heidelberg: Musings on Diversity and Inclusion||about 3 years ago||
|My Pista ng Mapa 2019 Experience||about 3 years ago||
Thanks Ron! I too enjoyed all the scholars’ lightning talks.
|AutoBound — Phase 2 Complete||about 3 years ago||
This is very cool, looking forward to the next phase!
|The Maps Team at Facebook is excited to announce RapiD Editor Partner Testing||about 3 years ago||
We had a chance to test RapiD via the https://tasks-assisted.hotosm.org/ at Pista ng Mapa 2019 conference in Dumaguete, Philippines last week. The general comments of the local community is positive and has the potential of improving the speed and quality of mapping (tweet of the demonstration here).
A couple of notes below:
We are continuing the tests and we will share back observations to FB to improve the workflow. Good job to those who built it!
|Data preparation for feature detection with Robosat||about 3 years ago||
I found something on the net that splits a text file by line based on %, so basically you input your cover csv file to this script: https://gist.github.com/maning/8a381a66e4f245429d67a6f39e205e24
|RoboSat v1.2.0 — state of the art losses, road extraction, batched extraction and rasterization||over 3 years ago||
Yay new release! I definitely give the docker build a try!
|The Maps Team at Facebook is excited to announce RapiD Editor Partner Testing||over 3 years ago||
|Data preparation for feature detection with Robosat||about 4 years ago||
Good idea I have not tested the other high IoUs, I’ll report back here of the result.
I mentioned it here:
|RoboSat ❤️ Tanzania||about 4 years ago||
It looks like you are downloading landsat imagery, is this what you want to download? Depending on the zoom level you download, this is expected to be low resolution (28m pixel resolution).
|RoboSat ❤️ Tanzania||about 4 years ago||
Following this guide, I got the following results. Hard negative mining helped a lot.
|Nodes in Asian cities in the last 10 years||about 6 years ago||
@planemad, @SimonPoole, Thanks! This make sense now.
Re: charts, I use the basic charting of matplotlib, will share code later.
|Bogo OpenStreetMap Workshop||over 6 years ago||
Awesome work! Its so nice to see that we continue remote mapping + fieldwork + local participation in all our OSM training.
Love the bibingka approach!
|Batangas City: Big changes||almost 7 years ago||
Great work! The jeepney routes looks really nice.
Hit me if you have questions. Keep on mapping!
|Passive data for OSMing||about 7 years ago||
@Sunfishtommy , Strava heatmap are available in iD and JOSM as background layer. See this entry in the wiki: http://wiki.openstreetmap.org/wiki/Strava#Data_Permission_-_Allowed_for_tracing.21
|Why am I against wholesale import of administrative boundaries from any 3rd party source for the Philippines||about 7 years ago||
@Simon, thanks for the link.
@Rovastar, that image is actually one of the “best” ;). In other areas it is worse, as Eugene mentioned in his reply, this is not a consistent offset issue. The second image in my post of Burauen, Leyte has a boundary offset by as much as 3km from the farthest village south. The imported boundary of this area closely resembles the GADM data although it might not come directly from GADM. As I said, there maybe other sources but all of these data are similar to GADM in terms of quality.
In most cases, I agree with the “roughly/nearly/high percentage correct instead of nothing at all” mantra except for admin boundaries. There are various factors in play such as maintaining relations integrity, too few mappers, etc., but more importantly, unlike a road or a building, mappers cannot easily correct them through satellite imagery or field surveys with a GPS.
|Mapping Party in Butuan, Agusan del Norte||about 7 years ago||
@Alan Bragg, thanks every node/way contributed helps.
|Experimented on Mapping By Photo-geotagging||over 7 years ago||
Hey! Really glad another Marikina mapper here! For photomapping, I suggest you also look at mapillary. Lately, I’ve been uploading my Marikina photos in mapillary: http://www.mapillary.com/profile/maning
Interested to meet sometime?
|What's your OpenStreetMap story?||over 7 years ago||
Here’s my patch as GPS tracks.
I started mapping late 2006. Back then, OSM in the Philippines was completely blank. Maybe I made the first node? At first I struggled with everything, from borrowing GPSr to understanding the tools. I even tried to create a Garmin data cable since it is very expensive to buy a new one.
Perhaps the most stupid thing I did when I was starting was, without understanding any of the schema and API, I hand edited an OSM file because I had difficulty uploading with my flaky dial-up connection. I turned out that I completely messed up the map because I unintentionally removed negative ID values to the original data upload using JOSM! Fortunately, the talk list back then was very friendly and helped me fix it. ;)
Here’s a few other mapping stories.
I was nearly attacked by 4 dogs trying to map an private residential area.
Nearly got into a heated argument with a group of illegal loggers while mapping the forests of Sierra Madre.