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May 25, 2016 at 3:53 history bumped CommunityBot This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
Apr 20, 2016 at 21:14 answer added Steven Kay timeline score: 5
Mar 27, 2016 at 12:41 comment added huckfinn @Azimo I've been thinking about it, but I was missing the time for a decent feature request.
Mar 24, 2016 at 9:25 comment added WKT A potencial good and nice new feature for QGIS future version. Did you post to Dev list ?
Mar 9, 2016 at 14:59 comment added Andy Harfoot Not an answer, but a workaround - have you tried using the Value Tool plugin? This will show the value of raster cells under the mouse cursor with live updating, and is independent of the active layer.
S Mar 9, 2016 at 5:15 history bounty ended CommunityBot
S Mar 9, 2016 at 5:15 history notice removed CommunityBot
Mar 8, 2016 at 5:26 history edited huckfinn CC BY-SA 3.0
Typos in the gdal version
Mar 6, 2016 at 12:33 comment added huckfinn @radouxju OK, but isn't this kind of efficeny a matter of scale in a context of displaying things and caching/indexing. I think, we have good tools to paint, label, build and manipulate vectors (to vertext level) in QGIS, but for raster, these capabilities are limited to drawing, raster calculations and raster/vector op's. Is it a matter of traditionell separated thinking of in 2D spatial types (raster/ vector/ graph) and the dawn of 3D GIS stuff? Edit DEM's with advanced tools works also with limitations (speed/size) somethingaboutmaps.wordpress.com/2014/01/01/blender-tutorial
Mar 6, 2016 at 10:55 comment added radouxju my point is that labelling each cel is inefficient. one large area of NaN just requires a single label in a vector based model, That being said I haven't tested it, so I am not sure that this is the best solution in your case (also depends on the number of patches) (therefore I do not put this as an answer)
Mar 5, 2016 at 15:10 comment added huckfinn @radouxju Hm, I made an opposite expierence. I'ved tried to investigate some raster window calculation stuff in this Q&A context (gis.stackexchange.com/a/182309/26213) and started to label the cells here with the uncutted version of the full TIF temp_CHIRPS_201512.tif (7200x2000 cells). This process takes a very long time to import and label the 14.4 Mill points if no spatial index is present. The opeartion runs in a time scale of minutes. So I've cutted the material to a region of interest (1000x1000 cells) and get a handy setup for this example.
Mar 5, 2016 at 13:38 comment added radouxju Not quite the answer you are looking for, but displaying would probably be as much time consuming with raster than with points. As you seem to work in integers and with relatively large patches, maybe you could polygonize your raster in order to have less features to label.
S Mar 1, 2016 at 3:57 history bounty started huckfinn
S Mar 1, 2016 at 3:57 history notice added huckfinn Canonical answer required
Feb 28, 2016 at 8:35 history edited huckfinn CC BY-SA 3.0
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Feb 28, 2016 at 3:32 history edited PolyGeo CC BY-SA 3.0
deleted 15 characters in body
Feb 28, 2016 at 0:58 history edited huckfinn CC BY-SA 3.0
deleted 9 characters in body
Feb 28, 2016 at 0:57 history tweeted twitter.com/StackGIS/status/703745746282160128
Feb 27, 2016 at 23:31 history edited huckfinn CC BY-SA 3.0
restructure
Feb 27, 2016 at 22:41 comment added huckfinn @Paulo, Yes GDAL and Python is always an option, but I've to build this test setup (gis.stackexchange.com/a/182309/26213), with many of steps and settings and a very slow environment. I want to use the options of a raster symbolizer.
Feb 27, 2016 at 22:36 comment added Paulo Raposo Not exactly what you're asking for, but maybe do this with GDAL bindings for Python (and matplotlib), or R (and spatial)?
Feb 27, 2016 at 22:15 history edited huckfinn CC BY-SA 3.0
correct tyops
Feb 27, 2016 at 21:42 history edited huckfinn CC BY-SA 3.0
typos
Feb 27, 2016 at 21:10 history edited huckfinn CC BY-SA 3.0
Simplify a sentence
Feb 27, 2016 at 21:05 history asked huckfinn CC BY-SA 3.0