[Ráfaga]Nº967: deep, resistance, parks, bicycle
Jorge Sanz
jsanz at carto.com
Mon Oct 22 04:39:15 PDT 2018
Nº967: deep, resistance, parks, bicycle
Mon, 22 Oct 2018 by Raf
- Raster Vision is a new Open Source environment to apply deep learning
to aerial, satellite, and even oblique imagery. Python developed, it
features a plugin system, even one for QGIS
https://rastervision.io/
- Cartography of digital resistance is a partial presentation of a
digital communication PhD thesis from Valladolid University
https://resistenciasdigitales.ushahidi.io/views/map
- The ten most USA popular national parks by the number of visitors, all
represented together at the same scale for comparison
https://adventuresinmapping.com/2018/10/12/the-ten-most-visited-us-national-parks/amp
- Riding South America on a bike to develop crowd-sourced cartography
projects, helping the visited local communities
https://www.trekmag.com/news-bike-trip-5000-km-velo-cartographier-amerique-sud
Raf (33)
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.osgeo.org/pipermail/rafagas/attachments/20181022/6af108b8/attachment.html>
More information about the Rafagas
mailing list