As for docker container, you can ask me directly.
2014-12-10 16:17 GMT+05:00 Ilya Zverev :
> Hi,
>
> Just this morning I've done the final "todo" in the polytiles script:
> now it produces tiles 10 times faster, because it renders them in
> metatiles. Also MBTiles writer now supports multiprocessing, so it's
> also 6-8 times more speed. If you need a lot of tiles, do not download
> them from osm.org or other sources, render them yourself: it is
> finally faster than downloading.
>
> https://github.com/zverik/polytiles
>
> I'd also like to remind of Nik4, the best tool for preparing printed
> maps of any region, any size and any quality; and of BigMap 2 for
> downloading and stitching some tiles from any of ~20 sources. The
> latter can even work online: "Enqueue" button queues a task, and in
> 2-3 minutes you'll get your image. The limit for that is 100 tiles.
>
> https://github.com/zverik/Nik4
> http://bigmap.osmz.ru/
>
> As for Nik4, there is "Get Veloroad" service for generating big vector
> maps online (basically a front-end to Nik4), but the server has only
> data for Russia and some neighbouring countries. Last week Dmitry
> Kiselev has made a Docker container for that: just install Docker,
> pull the container and start it:
>
> sudo apt-get install docker.io
> sudo docker pull dkiselev/nik4web
> sudo docker run -p 8081:80 -i -t dkiselev/nik4web /bin/bash
> startup
>
> The front-end would be at http://localhost:8081/nik4. You would need
> to run osm2pgsql with your region before requesting images. With it
> you can get PNG or vector SVG images (resolution independent),
> pre-processed for a sane page size and for easier movement of labels.
>
> Finally, yesterday I've translated into English a small geocoding
> exercise: https://github.com/Zverik/visgeocode (live at
> http://zverik.github.io/visgeocode/en.html ). It takes a CSV file with
> addresses in one of columns, runs these addresses through MapQuest
> Nominatim, and allows dragging resulting markers if geocoding was not
> precise. Then it can turn markers into building contours, but since my
> server has only Russia, you'd need to set up your own (maybe install the
> cgi script locally). The result can be downloaded either as CSV or
> as GeoJSON. We used this page for geocoding 22k addresses in
> Saint-Petersburg; Russian version uses three geocoders for better
> quality.
>
>
> IZ
>
>
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>
--
Thank you for your time. Best regards.
Dmitry.
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