<br><font size=2 face="sans-serif">Making the NIMA VMAP available in GRASS
format in order to give people a usefull easy to use dataset is a good
idea. But then if we are talking about a tutorial for beginners I
would highly recommend not providing the data in GRASS format but actualy
going thru the process of showing people how to import data into GRASS.</font>
<br>
<br><font size=2 face="sans-serif">Having the data already in GRASS format,
although convenient, does not address the issue of teaching people how
to import their own data sets. It would have been useful for me to
have a tutorial data set of DLGs, DRGs, and DEMs in their original format
and then learn how to import, overlay, and manipulate them. This
way I would have been ushered thru the whole process from start to finish.
The Spearfish tutorial starts you off with the data already imported,
thus skipping an important step.</font>
<br>
<br><font size=2 face="sans-serif">Mabe what we need is a revised tutorial,
a-la Spearfish, that also includes the import/export side of things.</font>
<br>
<br><font size=2 face="sans-serif">My question on the inclusion of data
on the GNU/Linux GRASS distribution would be: Are we going for a
sample data set or a tutorial data set? </font>
<br>
<br>
<br>
<br>
<br>
<table width=100%>
<tr valign=top>
<td>
<td><font size=1 face="sans-serif"><b>Hal Mueller <hal@mobilegeographics.com></b></font>
<br><font size=1 face="sans-serif">Sent by: owner-GRASSLIST@baylor.edu</font>
<p><font size=1 face="sans-serif">06/24/03 08:53 AM</font>
<td><font size=1 face="Arial"> </font>
<br><font size=1 face="sans-serif"> To:
GRASSLIST@baylor.edu</font>
<br><font size=1 face="sans-serif"> cc:
</font>
<br><font size=1 face="sans-serif"> Subject:
[GRASSLIST:502] Re: Shipping data with
GNU/Linux distributions</font></table>
<br>
<br>
<br><font size=2><tt>As it happens I've had some off-list conversations
with Markus about <br>
this topic in the last week or two. What I'm beginning to work on
is <br>
to prepare some excerpts of the Digital Chart of the World (NIMA <br>
VMAP) in Grass format. The aim is to provide a general-purpose <br>
global vector dataset that anyone can use immediately as a starter.<br>
<br>
Let me ask the community in general: what layers would you most like
<br>
to see? Country boundaries and continents would rank high, <br>
obviously. But what else? Roads? Airports? City
locations? <br>
Railroads? Rivers/streams/lakes?<br>
<br>
Reply to the list, please, so we can keep the discussion going.<br>
<br>
H<br>
<br>
</tt></font>
<br>