Have you tried the "Add XY Data" dialog in ArcView? As long as the file =
is comma delimited and the first line contains the field names (e.g., =
LON,LAT,ELEV), ArcView should recognize it. You can then export the =
data as a shapefile if you want.
You can also simply add the comma delimited x,y,z text file as a table =
and export it as a DBF file.
I often create shapefiles from large datasets programmatically using =
shapelib and a dbf library like Xbase. Shapelib has bindings to various =
languages such as perl and python. See http://shapelib.maptools.org
--Dylan
On 11/21/2006 12:51 PM, Pat Waggaman wrote: > We run up to 10,000,000 X,Y,Z=B4s often with =
> bathymetry. The most complete solution is =
> Manifold, which would import the data or link to =
> it, create the .shp and export it for opening in ARC(aic). > =
> Alternatively the spreadsheet in Surfer is great =
> for for manipulation of that number of points and can export .csv. > =
> Lots of RAM in either case. > =
> Pat > =
> At 05:21 PM 11/21/2006, Joe Luchette wrote: >> You could load the text file into a database (Access perhaps) and then l= oad >> it into Arc, or you could use a text editor like Kedit to then save your >> file as file format compatible with Arc (dbf or csv). >> >> Joe Luchette, GIS Specialist >> www.MapServing.com <http://www.mapserving.com/> >> >> On 11/21/06, Smith, Travis <tsmith@mnsengineers.com> wrote: >>> Hi Listers, >>> >>> >>> >>> I have a VERY LARGE ASCII text file (500,000 points and another with 1 >>> million), containing X/Y/Z points. I would like to import ALL of these >>> into ArcView 9.1. Is there a straightforward way to do this? I first >>> imported it into Excel, but found that Excel only imported the first >>> 65,000 or so: doesn't help me. >>> >>> >>> >>> With Excel's record count limit, I could parse the original file into >>> NUMEROUS subsets, but this wouldn't be very efficient. Is there a way to >>> import the source text file directly into ArcView, or, is there a better >>> program to use? >>> >>> >>> >>> Thanks very much, >>> >>> >>> >>> Travis
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