OSM Merge¶
Merge features and tags into existing OSM data.
📖 Documentation: https://hotosm.github.io/osm-merge/
🖥️ Source Code: https://github.com/hotosm/osm-merge
Background¶
This is a project for conflating map data, with the ultimate goal of importing it into OpenStreetMap. It is oriented towards processing non OSM external datasets.
This project uses a huge amount of data (and disk space) if you start from the original nation wide datasets, which are too large to edit. There is a contrib script in the git sources I use to start breaking down the huge files into managable pieces.
The goal of this project is two-fold. One is to support field data collection using OpenDataKit. The osm-fieldwork project can be used to convert the ODK data files into GeoJson and OSM XML. This project then supports conflating that field collected data with current OpenStreetMap. Otherwise this is a time-consuming process to do manually.
The other goal is focused on emergency access in remote areas. This is improving the Motor Vehicle Use Map (MVUM) datasets of all highways (mostly jeep trails) in OpenStreetMap. The current data in OSM was often imported complete with bugs in the original dataset, or the only details are highway=track. All of these have a US forest service reference number and name. Adding those makes it much easier to communicate a location.
Programs¶
conflator.py¶
This program doesn't require a database, unlike the other conflation programs. It is focused on conflation OpenDataKit with OpenStreetMap, as well as conflating rural highways. It'll conflate any two datasets in either GeoJson or OSM XML format. While this is currently under heavy development and debugging by processing large amounts of data to track down all the obscure bugs in the original datasets, or the conflation process.
The Data¶
Much of the process of conflation is splitting huge datasets into managable sized files. Since that process is mostly automated, I have a collection of files where I have done that part. Since conflation also requires converting the original datasets, the original files are included, the converted files to OSM XML & GeoJson, and the results of conflation. Not all the national forests and parks have been conflated yet, but the data is there for others that may wish to try. The Map Data is on a slow server, sorry. Disk space is cheaper than network bandwidth.
