charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD>
<META http-equiv=3DContent-Type content=3D"text/html; charset=3Diso-8859-1"=
>
<META content=3D"MSHTML 5.50.4915.500" name=3DGENERATOR></HEAD>
<BODY>
<DIV><FONT face=3DArial size=3D2><SPAN=20
class=3D470055019-18042002>Hi,</SPAN></FONT></DIV>
<DIV><FONT face=3DArial size=3D2><SPAN=20
class=3D470055019-18042002></SPAN></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2><SPAN class=3D470055019-18042002>I've been=
having fun=20
with GDAL 1.1.7 and Python 2.2.1 on Windows 2000. I was wondering if a=
nyone=20
could give me an example or pointer to create a virtual dataset for use wit=
h=20
CreateCopy(). I realize Frank is working on rewriting 'gdal_translate' to u=
se=20
virtual datasets and was wondering if there were any examples out there in =
C or=20
preferably Python. I'm experimenting with creating jpegs from other gdal=20
formats.</SPAN></FONT></DIV>
<DIV><FONT face=3DArial size=3D2><SPAN=20
class=3D470055019-18042002></SPAN></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2><SPAN class=3D470055019-18042002> I h=
aven't=20
located any direct examples in the list archive, gdal example sources or Op=
enEV=20
sources. I'm aware of the two-step method to create a JPEG by doing th=
e=20
resampling in another format but was just curious about the virtual dataset=
=20
concept. At first glance it seems like that method might be faster. I=
=20
haven't checked the UMN MapServer source code to see whether it uses the=20
two-step process or virtual datasets to convert data to jpegs. If I'v=
e=20
overlooked anything please let me know.</SPAN></FONT></DIV>
<DIV><FONT face=3DArial size=3D2><SPAN=20
class=3D470055019-18042002></SPAN></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2><SPAN class=3D470055019-18042002>I've been=
working=20
with Perl for several years and Python for a couple of years and in the las=
t=20
year have been introduced to the GIS/remote sensing world. I sta=
rted=20
out trying to understand image manipulation using the Python Imaging Librar=
y=20
which lead me to GDAL. I've found GDAL a great tool for learning about=
the=20
different geo-spatial data formats. </SPAN></FONT></DIV>
<DIV><FONT face=3DArial size=3D2><SPAN=20
class=3D470055019-18042002></SPAN></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2><SPAN class=3D470055019-18042002>What woul=
d be really=20
nice would be a GDAL Cookbook' on the Yahoo Groups site. More experienced=20
programmers could post their successful code snippets (maybe in the 'Files'=
=20
section?) which would make it easy to find examples to give us intermediate=
=20
programmers a little boost. I found the API tutorial on the GDAL site=
=20
extremely helpful and would love to see more of those types of examples.&nb=
sp;=20
Once I get comfortable with GDAL in Python I'll try to write a comprehensiv=
e=20
tutorial about what I've learned.</SPAN></FONT></DIV>
<DIV><FONT face=3DArial size=3D2><SPAN=20
class=3D470055019-18042002></SPAN></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2><SPAN=20
class=3D470055019-18042002>Thanks,<BR>Joel</SPAN></FONT></DIV>
<DIV><FONT face=3DArial size=3D2><SPAN=20
class=3D470055019-18042002></SPAN></FONT> </DIV>
<DIV><FONT face=3DArial size=3D2><SPAN class=3D470055019-18042002></SPAN></=
FONT><FONT=20
size=3D2>Joel Lawhead, Web Application Developer, PixSell<BR>Phone: (228)68=
8-3391,=20
Fax:=20
(228)688-7262<BR><jlawhead@p...><BR><www.pixsell.com></F=
ONT>=20
</DIV>
<DIV><FONT face=3DArial size=3D2></FONT> </DIV></BODY></HTML>