{"id":23,"date":"2018-12-12T06:00:09","date_gmt":"2018-12-12T06:00:09","guid":{"rendered":"https:\/\/rossedwards.co.uk\/blog\/?page_id=23"},"modified":"2019-01-13T20:56:24","modified_gmt":"2019-01-13T20:56:24","slug":"so-much-to-learn-so-little-time","status":"publish","type":"page","link":"https:\/\/rossedwards.co.uk\/blog\/so-much-to-learn-so-little-time\/","title":{"rendered":"So much to learn so little time"},"content":{"rendered":"\n

I’m a big fan of Open Source software, my initial exposure to the benefits of open source came from a requirement to work on some 3D modelling back in 2010 – Blender<\/a> solved the problem, and I’ve loved learning more about it ever since. With a push to v2.8 in 2019, it brought us incredible real time rendering features, and with the Blender Development Fund firmly in place, I think it will soon be an arguable contender against the big players like Maya & Houdini.<\/p>\n\n\n\n

More recently I’ve enjoyed exploring great swathes of free spatial geo data, and the essential tools\/applications for all things GIS – predominantly using QGIS<\/a> as my starting point.<\/p>\n\n\n\n

I’ve been particularly fascinated with geospatial imagery ever since I started playing within Bohemia Interactive’s RV4 engine, to create virtual worlds by combining NASA DEM’s<\/a> and satellite imagery. one of my primary goals is to complete the creation of a 40km2 terrain using real world data.<\/p>\n\n\n\n