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提取探空站 IGRAv2 全部数据：
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MATLAB画散点密度图
代码、测试数据的压缩包在文末，可自行下载测试出图效果
散点误差图出图效果
代码如下
具体使用，请自行修改
function scatter_plot(x,y,derror)
% 点状密度图
% 根据测试数据画的，实际应用自己修改
% --------------------改变密度大小------------------
numbins = 50;
% --------------------------------------------------
X =x;
Y =y;
% 找到最大值最小值
MaxSP=max(x);MaxV=max(y);Maxi=1.1*max(MaxSP,MaxV);
[values, centers] = hist3([X Y], [numbins numbins]);
centers_X = centers{1,1};
centers_Y = centers{1,2};
binsize_X = abs(centers_X(2) - centers_X(1)) / 2;
binsize_Y = abs(centers_Y(2) - centers_Y(1)) / 2;
bins_X = zeros(numbins, 2);
bins_Y = zeros(numbins, 2);
for i = 1:numbins
bins_X(i, 1) = centers_X(i) - binsize_X;
bins_X(i, 2) = centers_X(i) + binsize_X;
bins_Y(i, 1) = centers_Y(i) - binsize_Y;
bins_Y(i, 2) = centers_Y(i) + binsize_Y;
end
scatter_COL = zeros(length(X), 1);
onepercent = round(length(X) / 100);
for i = 1:length(X)
if (mod(i,onepercent) == 0)
fprintf('.');
end
last_higher_X = NaN;
id_X = NaN;
c_X = X(i);
last_lower_X = find(c_X >= bins_X(:,1));
if (~isempty(last_lower_X))
last_lower_X = last_lower_X(end);
else
last_higher_X = find(c_X <= bins_X(:,2));
if (~isempty(last_higher_X))
last_higher_X = last_higher_X(1);
end
end
if (~isnan(last_lower_X))
id_X = last_lower_X;
else
if (~isnan(last_higher_X))
id_X = last_higher_X;
end
end
last_higher_Y = NaN;
id_Y = NaN;
c_Y = Y(i);
last_lower_Y = find(c_Y >= bins_Y(:,1));
if (~isempty(last_lower_Y))
last_lower_Y = last_lower_Y(end);
else
last_higher_Y = find(c_Y <= bins_Y(:,2));
if (~isempty(last_higher_Y))
last_higher_Y = last_higher_Y(1);
end
end
if (~isnan(last_lower_Y))
id_Y = last_lower_Y;
else
if (~isnan(last_higher_Y))
id_Y = last_higher_Y;
end
end
scatter_COL(i) = values(id_X, id_Y);
end
% 拟合曲线
a=polyfit(x,y,1);
ax=linspace(0,Maxi+10,2000);
ay=a(1)*ax+a(2);
Str_yx=['Y = ',num2str(round(a(1),2)),'*X +',num2str(round(a(2),2))];
scatter(x, y, 20, scatter_COL, '.' );
hold on
colormap('jet');
colorbar;
xlabel('GNSS-PWV/mm','FontSize',12,'FontName','Times New Roman');
ylabel('ERA5-PWV/mm','FontSize',12,'FontName','Times New Roman');
bx = linspace(0,120,2000);
% 设置xy轴的界限
% xlim([0 120]);ylim([0 120]);
% 把误差表示在图上，位置根据自己需要改，我这是根据测试数据填的
text(5,115,Str_yx,'FontSize',12,'FontName','Times New Roman')
text(5,107,['Bias = ',num2str(round(100*derror(1))/100,'%.2f')],'FontSize',12,'FontName','Times New Roman')
text(5,99,['RMSE = ',num2str(round(100*derror(2))/100,'%.2f')],'FontSize',12,'FontName','Times New Roman')
text(5,91,['Cor = ',num2str(derror(3),'%.2f')],'FontSize',12,'FontName','Times New Roman')
% 画拟合曲线
plot(ax,ay,'r')
hold on
% 画对角线
plot(bx,bx,'k');
hold on
title('测试数据','FontSize',12)
box on
grid on
set(gca,'LineWidth',1.2)
end压缩包地址如下：
压缩包里面的内容：
压缩包地址：
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