hi,
here is an issue (probably float/integer typcasting related) issue when importing a large CSV dataset of vector points into GRASS6.4.2.
The data set contains hundreds of columns, so v.in.ascii is not an option (the columns option-string would be ungodly long).
Instead, the data is transformed into a DBF and ingested as a table:
db.in.ogr dsn=FOO.dbf output=BAR key=the_id [works]
The integrity of the column data types is confirmed by:
db.describe -c BAR
Result:
column:N1 [X column]
description:
type:DOUBLE PRECISION
len:20
scale:6
precision:18
column:N2 [Y column]
description:
type:DOUBLE PRECISION
len:20
scale:6
precision:18
Now a VECTOR is created from the table:
v.in.db table=BAR x=N1 y=N2 key=the_id output=BAZ --o
[**Something strange happens at this point: Typecasting bug ? **]
Running a v.db.select over the new vector shows __INTEGER__ values for the X/Y columns N1 and N2 (which were originall EPSG lat/lon FLOAT values):
N1|N2|N3|N4
-9293467|43013833|33.4|1
-9293815|43004851|34.3|1
-9294164|42995869|41025|1
The data in column N3 is CHAR, so it only mimicks float values.
Does anybody know of a working recipe to avoid this FLOAT->INTEGER problem ?
peter
Peter
--
Dr. Peter Löwe
<peter.loewe@gmx.de>