I've run into a problem where I have two very large layers that I'm tasked to overlay on a map, showing cellular coverage across a the whole South Africa.
Layer 2 is my struggle currently, as it was given to me as a hosted KML that is updated automatically every 24 hours. The only reason it's a problem is because of its size, being 90MB!
I've explored several options including:
- Downloading and simplifying with ogr2ogr, but it drops the size with about 20MB's, which is still nowhere near ideal.
- QGIS - trying to work with the layer hangs the system
- pyKML and fastKML - both seem to be capable of reading from it but I'm not sure if this is the best option. I like working in Python and not afraid of a learning curve in parsing the correct data, but I haven't been able to find a clear example of this use case.
- Google Earth - Seems to be too big even for GE as it also doesn't show up or hangs the program.
I'd like to know if there's a way to simplify such a big file. Right now I can open it in QGIS and can see Layer 2 there, but like I said, trying to work with it is memory intensive.
Can it be that the KML contains data that wasn't optimized for such a task? I'd like to be able to look at the KML data in a text editor, but even that hangs my Atom editor and others I've tried. I want to see what I'm working with in order to try and remove unnecessary stuff in there.
The url is here: http://siteadmin.wbs.co.za/kml/coverage.kml
I just need a few suggestions on how to handle this.