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uDig GIS: A First Look (Linux Journal)

uDig GIS: A First Look (Linux Journal)

Posted Oct 16, 2008 0:08 UTC (Thu) by jgarnett (guest, #54722)
In reply to: uDig GIS: A First Look (Linux Journal) by frankie
Parent article: uDig GIS: A First Look (Linux Journal)

Hey guys; thanks for the comments on uDig. Your comments about a) TIFF
performance and b) Java developers reinventing are totally fair.

For the next version of uDig you will find that raster performance is much
improved. We are upgrading from GeoTools 2.2 (which loads rasters into
memory) to GeoTools 2.6 which is leaving them on disk.

In general uDig likes to leave all the data on the disk and run light - it
is not worth loading shapefile data into memory (because that would limit
the size of data you could work with). We are very happy with the
improvements to GeoTools that enable us to take this approach with raster
data as well.

This improvement to raster support is largely due to the work of GeoTools
and the image-io-ext project. This work (while often using Java for speed)
is making use of gdal/ogr to read in some of the more exotic formats (like
MRSID).


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uDig GIS: A First Look (Linux Journal)

Posted Oct 16, 2008 9:00 UTC (Thu) by deleteme (guest, #49633) [Link]

Considering how simple and cheap (€300) it is make a slow workstation with 16 to 32GB of ram, there might be some problem with that statement. Sure you can't fit everything into 32GB, not even the openstreetmap db at this point..

uDig GIS: A First Look (Linux Journal)

Posted Oct 21, 2008 23:34 UTC (Tue) by jgarnett (guest, #54722) [Link]

For raster data you run out of memory quickly; On uDig trunk I have worked
with an "image moasic" (think a shapefile where each row indicates a raster
file on disk) of several thousand MRSID files; each file was 20 GIGs...
there are a couple competing projects to use PostGIS as a spatial index for
directories of raster files as we speak.

Even with just vector data we manage sneak up to the limits of memory
fairly quickly - it is one of the reasons I enjoy GIS.

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