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Re: [ferret_users] Spatial Correlation;

Karnan,
If yoru data is no a rectilinear grid, such as coads, use the 'regressxy' go script contributed by Andreas Schmittner: 
 
! Use the LET command to define new variables
! Define the variable P as your independent (X) variable
! Define the variable Q as your   dependent (Y) variable
 
go regressxy
 
! Results will be variables "SLOPE", "INTERCEP" and "RSQUARE"
 
Jim
 
On Tue, 8 Aug 2017, Manche Shivashankar wrote:
 

Dear Karnan,
 
I have seen your .nc file, the data is two dimensional.
If you want to derive spatial correlation you need to have time series data. Using the time series data the correlation
coefficients will be calculated.
With two dimensional data sets you can only derive the scatter plot at the collocated points of the like wise parameters.
 
Hope this will help you.
 
 
Regards
Shiva Shankar Manche
Scientists-SC
NRSC, Hyderabad.
 
 
On Mon, Aug 7, 2017 at 4:27 PM, Karnan C <karnanc6@xxxxxxxxx> wrote:
Dear ferret users,
 
I tried to correlate chl data with sea surface height, for that I set
these two data sets in a common grid.
 
I followed the scripts mentioned in the page
"../../faq/correlations-and-variances;.
This method is working well for coads_climatology data.
 
use data coads_clim.nc
let p=sst
let q=airt
go variance
fill correl
 
But, not for my data. I can't understand the reason.
 
 
use data relate.nc
let p=ssh
let q=chl
go variance
fill correl
 
(output shows 'no valid data')
The sample data files attached here.
Kindly help me.
Thanks.
 
 
--
C. Karnan, CSIR - SRF
Ph. D Research Scholar
National Institute of Oceanography (CSIR)
Regional Centre, Dr Salim Ali Road
Kochi - 682 018.
India.
Mobile No. +91 9633032345; +91 9941811608
 
 
 
 

 
--
LSCE/IPSL, Laboratoire des Sciences du Climat et de l'Environnement
CEA-CNRS-UVSQ
 
LSCE/IPSL, CEA Saclay           Re: [ferret_users] Spatial Correlation;









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