<div dir="ltr"><br clear="all"><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr">Hi Karsten</div><div dir="ltr"><br></div><div dir="ltr">Thanks for your reply, please accept my apologies for the late reply.</div><div dir="ltr"><br></div><div>like you said, if i focus on the month of july ( for example) can i take the average SPI values for all the 30 years to denote/represent a station? </div><div><br></div><div>Best </div><div>Dani</div><div dir="ltr"><br></div><div dir="ltr"><br><div><br></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Thu, Sep 3, 2020 at 9:26 PM karsten <<a href="mailto:karsten@terragis.net">karsten@terragis.net</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><u></u>
<div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial">Hi Dani.</font></span></div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial"></font></span> </div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial">well generally for each point in time you would need run
the kriging process separately (each monthly data set for all points counts as
one), so that would be 30*12 = 360 times ...</font></span></div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial">So a lot of runs ... if you really wanted to do that
best would be to run that as a batch process or script it in python for the
processing toolbox...</font></span></div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial">Another good tool to look at for such things is the R Program
<a href="https://www.r-project.org/" target="_blank">https://www.r-project.org/</a> and
possibly using Raster instead of vector data to create stacks of precipitation
time series...</font></span></div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial"></font></span> </div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial">However, if I where you, I might step back first and
determine what results you would like to get or which comparisons you would want
to make.... <br>I don't know what you are after - but for example would it
make more sense to look at the differences of one month over the 30 years time
sequence to detect changes in precipitation? <br>This would make sense if you
where to find dry versus wet years e.g. for the growing season of crops or the
like ? <br>Let's say if July was interesting for you then you could run the
interpolations for July of each year and that way get a time sequences you can
look at to dervive your conclusions from....</font></span></div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial"></font></span> </div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial">Cheers</font></span></div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial">Karsten</font></span></div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial"></font></span> </div>
<div dir="ltr" align="left"><span><font color="#000080" size="2" face="Arial">
<div align="left">
<div><span style="font-size:11pt;font-family:Verdana,sans-serif">Karsten
Vennemann<br></span><span style="font-size:9pt;font-family:Verdana,sans-serif">Principal<br><br><span style="color:rgb(0,50,100)">Terra GIS LTD<br>2119 Boyer Ave E
<br>Seattle, WA 98112<br>USA <br><a title="http://www.terragis.net/
blocked::http://www.terragis.net/" href="http://www.terragis.net/" target="_blank"><font title="http://www.terragis.net/" color="#0000ff">www.terragis.net</font></a></span></span><u></u><u></u><u></u></div>
<div align="left">
<p class="MsoNormal"><span style="font-size:9pt;font-family:Verdana,sans-serif;color:rgb(0,50,100)">Phone
++1 206 905 1711<br>Fax ++1 925 905
1711</span></p></div></div></font></span></div><br>
<div lang="en-us" dir="ltr" align="left">
<hr>
<font size="2" face="Tahoma"><b>From:</b> Qgis-us-user
[mailto:<a href="mailto:qgis-us-user-bounces@lists.osgeo.org" target="_blank">qgis-us-user-bounces@lists.osgeo.org</a>] <b>On Behalf Of </b>Dani
Varghese<br><b>Sent:</b> Thursday, September 03, 2020 03:14<br><b>To:</b>
<a href="mailto:qgis-us-user@lists.osgeo.org" target="_blank">qgis-us-user@lists.osgeo.org</a><br><b>Subject:</b> [Qgis-us-user] Standard
precipitation index interpolation<br></font><br></div>
<div></div>
<div dir="ltr">Dear All
<div><br></div>
<div>I had SPI (Standard precipitation index) values for 1000 stations (30
years monthly data for each station) . I needed to perform the interpolation
method ( kriging). What confuses me is that each station/point has 30 years of
monthly data ranging from +2 to -2, Can anyone suggest to me how to interpolate
these values, thanks in advance.</div>
<div><br></div>
<div>Best</div>
<div>Dani<br clear="all">
<div>
<div dir="ltr">
<div dir="ltr"><br>
<div><br></div></div></div></div></div></div></div>
</blockquote></div>