[postgis-users] data base structure for holding climate data

[Robert Burgholzer]

I have worked with much climate data, and agree that the timestamp is
the most robust approach. I have also opted to include the month, day
and year fields, simply as a matter of preserving the original data
integrity.

r.b.

-----Original Message-----
From: postgis-users-bounces at postgis.refractions.net
[mailto:postgis-users-bounces at postgis.refractions.net] On Behalf Of Kirk
R. Wythers
Sent: Monday, October 02, 2006 11:11 AM
To: PostGIS Discussion Users
Subject: [postgis-users] data base structure for holding climate data

I am curious as to the consensus approach to handling dates in postgis?
I have gathered up a fairly large collection of climate data. The date
fields however, came parsed in the form (year,month,day). I want to set
up a postgres database to hold this data with a location structure along
the lines of:

mn_climate=# \d sites
                 Table "public.sites"
      Column     |         Type          | Modifiers
----------------+-----------------------+-----------
site_id        | integer               |
site_shortname | character varying(8)  |
site_name      | character varying(50) |
lat            | numeric               |
lon            | numeric               |
utm_e          | numeric               |
utm_n          | numeric               |
Indexes:
     "sites_site_id_key" UNIQUE, btree (site_id)


And tie this "site" table to a second "clim" table that holds the actual
meteorological data. However, I am inclined to concatenate the year,
month, day data into a single "date" data type of the form year-
month-day-hour-minute-second (yyyy-mm-dd-hh-mm-ss). Does this make sense
to you all? If anyone can re-direct me before I do something dumb in way
I set this up, I would appreciate it.

Thanks,

Kirk
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