空间误差分析：统一的应用导向处理（Matlab代码实现）

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📋📋📋本文目录如下：🎁🎁🎁
目录
💥1 概述
📚2 运行结果
🎉3 参考文献
🌈4 Matlab代码实现

💥1 概述

本文关于一维、二维和三维空间误差测量的研究。

📚2 运行结果

部分代码：

clear

ic=2; % skip step 1

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

if ic==1

% part I

% use y=sqrt(x/n), x has chi-square distribution with deg n

clear global n p

global n p

q=[0.5 .8 .9 .95];

l=[(0.1:0.025:0.2) (0.3:.1:.9) (1:9) (10:10:100)]';

NL = length(l);

NQ = length(q);

for jj=1:NQ

p=q(jj);

x =1; %initial guess for iteration

% x =0.01; %initial guess for fsolve

for ii=1:NL

n=l(ii);

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%% use fsolve from optimization toolbox %%

%% xs=fsolve('x2disc2',x);

%% xo= xs;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%%%%%% iteration %%%%%%%%%%%%

p0=x2cdf(x);

for j=1:2:9

while (p0 > p)

x=x-(0.1)^j;

p0=x2cdf(x);

end

while (p0 < p)

x=x+(0.1)^j;

p0=x2cdf(x);

end

end

xo=x;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

r(ii,jj)=sqrt(xo/n)

pause

end

end

DAT =[l r];

save \mfile\chi.mat l r

fname='chi.dat'

fid=fopen(fname,'wt')

fprintf(fid,'%8.2f %8.4f %8.4f %8.4f %8.4f\n',DAT')

fclose(fid)

end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

if ic==2

% part II

load chi.mat

NQ =4

adj= [ 0.7 0.5 0.15 -0.1];

semilogx(l,r)

xlabel('n')

ylabel(' R(p)/RMS ')

% title(' R(p)/RMS vs n, p=0.5, 0.8, 0.9, 0.95')

grid

for kk=1:NQ

if kk==1 p=0.5

elseif kk==2 p=0.8

elseif kk==3 p=0.9

elseif kk==4 p=0.95

end

text(.5,r(5,kk)+adj(kk),['p=' num2str(100*p) '%'])

end

axis('square')

figure(1)

pause

pf3('f62')

end

🎉3 参考文献

部分理论来源于网络，如有侵权请联系删除。

[1]David Hsu (2023). Spatial Error Analysis: A Unified Application-Oriented Treatment

🌈4 Matlab代码实现