[GRASS-user] Temporal variabililty of multi-station precipitation

Rich Shepard rshepard at appl-ecosys.com
Sun Aug 19 12:13:15 PDT 2018


   I have two grass maps of precipitation data for a county. One map displays
the 58 weather stations with attribute names: station, name, lon. lat, elev;
the other map displays the stations with attribute names: cat, name,
lon/easting, lat/northing, elev, date, prcp for the 113,570 rows of data.
The amount of data per station is variable, too.

   I want to produce maps for a report that illustrate the variability of
precipitation among the stations for each of the years for which I have
data: 2005-2018 (June 6th).

   After reading the intro to temporal data in the 7.5 manual and the wiki
page (including the chl-a example) I'm still not sure how to proceed from
what I now have.

   The source data file looks like this:

'name','easting','northing','elev','sampdate','prcp'
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-01,0.59
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-02,0.08
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-03,0.1
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-04,0
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-05,0
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-06,0.02
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-07,0.05
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-08,0.1
Headworks Portland Water,2370575.38427211,199337.634652112,228,2005-01-09,0

   The station file/map adds nothing of value (I may remove it as there's no
need to reference the station numbers, only the names).

   Advice on how to get from what I have to what I want is needed. I know
there's variability at each station over the year (I have this plotted for
all stations/all years) and I want to show readers of the report how
variable precipitation patterns are over the entire area. Ideas on other
approaches to this end are also certainly welcome.

TIA,

Rich





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