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Interpolation of given data in 2d domain

조회 수: 2 (최근 30일)
ravi shukla
ravi shukla 2023년 4월 5일
편집: Davide Masiello 2023년 4월 6일
x=0,4,6,9,11,17,20
y=0,2,3,7,10,15
x is (7,1) vector & y is (6,1)
z will have (known data) 7*6=42 values in this domain.
how to interpolate z to some new x & y. let say now x(5,1)=0,5,10,15,20 & y(6,1)= 0,3,6,9,12,15.
I am using "griddata" bit getting very lil error. please help!

답변 (1개)

Davide Masiello
Davide Masiello 2023년 4월 5일
Example
xdata = linspace(1,10,10)
xdata = 1×10
1 2 3 4 5 6 7 8 9 10
ydata = linspace(0,1,11)
ydata = 1×11
0 0.1000 0.2000 0.3000 0.4000 0.5000 0.6000 0.7000 0.8000 0.9000 1.0000
zdata = rand(length(ydata),length(xdata))
zdata = 11×10
0.8112 0.0708 0.5041 0.6023 0.0818 0.1820 0.7003 0.4842 0.3335 0.6683 0.6788 0.8340 0.0349 0.5122 0.0715 0.9324 0.2119 0.2980 0.4767 0.1168 0.5219 0.1053 0.9267 0.0636 0.9447 0.8776 0.3619 0.3600 0.0824 0.3414 0.6298 0.9852 0.5891 0.6079 0.6031 0.0961 0.9830 0.2188 0.9467 0.5634 0.6200 0.2704 0.6060 0.2413 0.8322 0.6864 0.3460 0.5554 0.4096 0.2714 0.4857 0.1183 0.4792 0.5002 0.2580 0.4702 0.4455 0.6356 0.7466 0.3907 0.9321 0.8234 0.5167 0.7972 0.9827 0.5531 0.2857 0.6909 0.0056 0.7744 0.5190 0.9112 0.0090 0.8131 0.5675 0.9623 0.0170 0.9269 0.9812 0.2971 0.4493 0.6002 0.2361 0.8474 0.6592 0.4733 0.6316 0.8359 0.8067 0.9577 0.6325 0.8260 0.2111 0.7607 0.2610 0.6142 0.3501 0.8030 0.6859 0.8245
x0 = [2.5 3.5 4.5 5.5];
y0 = [0.25 0.35 0.45 0.55];
z0 = interp2(xdata,ydata,zdata,x0,y0)
z0 = 1×4
0.6516 0.5111 0.4579 0.5660
  댓글 수: 2
ravi shukla
ravi shukla 2023년 4월 5일
how will i get z0(4,4)? similarly as old zdata.
which means z0 with x0(1) and y0(1), y0(2), y0(3) , y0(4) and similar combinations of x0(2).. x0(3)... x0(4) with all y0s
Davide Masiello
Davide Masiello 2023년 4월 6일
편집: Davide Masiello 2023년 4월 6일
xdata = linspace(1,10,20);
ydata = linspace(0,20,30);
[xgrid,ygrid] = meshgrid(xdata,ydata);
zdata = sin(xgrid)+cos(ygrid);
figure(1)
surf(xgrid,ygrid,zdata)
Now, if you want data at a certain fixed x0 and variable y, you can do
x0 = 6.5;
z0 = interp2(xdata,ydata,zdata,x0,ydata);
You can visualise this
figure(2)
subplot(2,1,1)
surf(xgrid,ygrid,zdata),hold on
plot3(x0*ones(size(ydata)),ydata,z0,'r','LineWidth',4)
subplot(2,1,2)
plot(ydata,z0)
xlabel('y')
ylabel('z')
legend('x0 = 6.5')
Same thing for fixed y0
y0 = 5.66;
z0 = interp2(xdata,ydata,zdata,xdata,y0);
figure(3)
subplot(2,1,1)
surf(xgrid,ygrid,zdata),hold on
plot3(xdata,y0*ones(size(xdata)),z0,'r','LineWidth',4)
subplot(2,1,2)
plot(xdata,z0)
xlabel('y')
ylabel('z')
legend('y0 = 5.66')
In general, you can extrapolate any path on the surface of z for a given function y(x).
x0 = xdata;
y0 = -2*x0+18;
z0 = interp2(xdata,ydata,zdata,x0,y0);
figure(4)
subplot(2,1,1)
surf(xgrid,ygrid,zdata),hold on
plot3(x0,y0,z0,'r','LineWidth',4)
subplot(2,1,2)
plot3(x0,y0,z0,'k','LineWidth',2)
xlabel('x')
ylabel('y')
zlabel('z')
legend('y = -2x+18')

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