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function [varargout]=gcmfaces_bindata(varargin); |
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%object: compute delaunay triangulation, then bin averaging |
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%inputs: are all optional, triggering different sections of the code |
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% if none then generate the very triangulation (myTri) |
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% if lon,lat vectors, then compute closest neighbor index(ices) |
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% if lon,lat,obs vectors, then further do the bin average |
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%outputs: are all optional, triggering different sections of the code |
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% if OBS then return the bin aberage |
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% if OBS,NOBS then return the bin sum and count |
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% |
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%pre-requisite : the grid of interest must have been loaded with grid_load |
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% |
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%note to self: should mytri become part of mygrid ? |
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|
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warning('off','MATLAB:dsearch:DeprecatedFunction'); |
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|
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gcmfaces_global; global mytri; |
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|
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if ~isfield(myenv,'useDelaunayTri'); |
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myenv.useDelaunayTri=~isempty(which('DelaunayTri')); |
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end; |
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|
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%1) check that triangulation is up to date |
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if isempty(mytri); |
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mytri.dirGrid=mygrid.dirGrid; mytri.nFaces=mygrid.nFaces; |
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mytri.fileFormat=mygrid.fileFormat; mytri.ioSize=mygrid.ioSize; |
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end; |
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|
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test1=strcmp(mytri.dirGrid,mygrid.dirGrid)&(mytri.nFaces==mygrid.nFaces)&... |
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strcmp(mytri.fileFormat,mygrid.fileFormat)&(sum(mytri.ioSize~=mygrid.ioSize)==0); |
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test2=isfield(mytri,'TRI'); |
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|
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%2) update triangulation if not up to date |
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if (~test1|~test2)&(nargin~=0); gcmfaces_bindata; end; |
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|
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%3) carry on depending on inputs list |
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if (nargin==0); |
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% |
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mytri=[]; |
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mytri.dirGrid=mygrid.dirGrid; mytri.nFaces=mygrid.nFaces; |
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mytri.fileFormat=mygrid.fileFormat; mytri.ioSize=mygrid.ioSize; |
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%generate delaunay triangulation: |
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XC=convert2array(mygrid.XC); |
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YC=convert2array(mygrid.YC); |
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kk=find(~isnan(XC)); mytri.kk=kk; |
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[mytri.ii,mytri.jj]=find(~isnan(XC)); |
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if myenv.useDelaunayTri; |
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%the new way, using DelaunayTri&nearestNeighbor |
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mytri.TRI=DelaunayTri(XC(kk),YC(kk)); |
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else; |
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%the old way, using delaunay&dsearch |
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TRI=delaunay(XC(kk),YC(kk)); nxy = length(kk); |
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Stri=sparse(TRI(:,[1 1 2 2 3 3]),TRI(:,[2 3 1 3 1 2]),1,nxy,nxy); |
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mytri.XC=XC(mytri.kk); mytri.YC=YC(mytri.kk); |
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mytri.TRI=TRI; mytri.Stri=Stri; |
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%usage: kk=dsearch(mytri.XC,mytri.YC,mytri.TRI,lon,lat,mytri.Stri); |
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% where lon and lat are vector of position |
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end |
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elseif nargin==2; |
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%compute grid point vector associated with lon/lat vectors |
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lon=varargin{1}; lat=varargin{2}; |
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if size(lon,2)>1; lon=lon'; end; |
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if size(lat,2)>1; lat=lat'; end; |
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if myenv.useDelaunayTri; |
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if size(lon,2)>1; lon=lon'; lat=lat'; end; |
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kk = mytri.TRI.nearestNeighbor(lon,lat); |
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else; |
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kk=dsearch(mytri.XC,mytri.YC,mytri.TRI,lon,lat,mytri.Stri); |
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end; |
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if nargout==1; |
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varargout={mytri.kk(kk)}; |
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elseif nargout==2; |
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ii=mytri.ii(kk); jj=mytri.jj(kk); |
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varargout={ii}; varargout(2)={jj}; |
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else; |
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error('wrong output choice'); |
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end; |
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elseif nargin==3; |
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%do the bin average (if nargout==1) or the bin sum+count (if nargout==2) |
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lon=varargin{1}; lat=varargin{2}; obs=varargin{3}; |
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if size(lon,2)>1; lon=lon'; end; |
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if size(lat,2)>1; lat=lat'; end; |
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if size(obs,2)>1; obs=obs'; end; |
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ii=find(~isnan(obs)); lon=lon(ii); lat=lat(ii); obs=obs(ii); |
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if myenv.useDelaunayTri; |
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kk = mytri.TRI.nearestNeighbor(lon,lat); |
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else; |
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kk=dsearch(mytri.XC,mytri.YC,mytri.TRI,lon,lat,mytri.Stri); |
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end; |
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kk=mytri.kk(kk); |
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|
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OBS=convert2array(mygrid.XC); |
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OBS(:)=0; NOBS=OBS; |
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for k=1:length(kk) |
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NOBS(kk(k))=NOBS(kk(k))+1; |
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OBS(kk(k))=OBS(kk(k))+obs(k); |
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end % k=1:length(kk) |
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|
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if nargout==1;%output bin average |
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in=find(NOBS); OBS(in)=OBS(in)./NOBS(in); |
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in=find(~NOBS); OBS(in)=NaN; NOBS(in)=NaN; |
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varargout={convert2array(OBS)}; |
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elseif nargout==2;%output bin sum+count |
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OBS=convert2array(OBS); |
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NOBS=convert2array(NOBS); |
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varargout={OBS}; varargout(2)={NOBS}; |
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else; |
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error('wrong output choice'); |
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end; |
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|
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else; |
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error('wrong input choice'); |
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end; |
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|
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warning('on','MATLAB:dsearch:DeprecatedFunction'); |
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|
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|
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