matlab 莫兰指数
时间: 2023-08-24 15:12:15 浏览: 148
莫兰指数是一种用于衡量空间自相关性的统计指标。在Matlab中,可以使用一些函数和工具箱来计算莫兰指数。根据引用\[2\]中提到的文章,可以使用以下函数来计算全局莫兰指数的z值和p值:
```matlab
function moran_scatter = moran_test_y(x, w)
zx = (x - mean(x)) / std(x);
wzx = w * zx;
scatter(zx, wzx, 'filled');
axis(\[-3, 4, -0.6, 0.8\]);
hold on
n = xlim;
m = ylim;
moran_I = regress(wzx, zx);
zx1 = -3:0.01:4;
moran_scatter = plot(zx1, moran_I * zx1, '-r', 'linewidth', 2);
title(\['Moran’s I = ', num2str(moran_I)\]);
hold on
line(\[n(1), n(2)\], \[0, 0\], 'linestyle', '--', 'color', 'k');
line(\[0, 0\], \[m(1), m(2)\], 'linestyle', '--', 'color', 'k');
end
```
这个函数可以绘制出莫兰散点图,并在图中显示莫兰指数的值。你可以将你的数据作为参数传递给这个函数,然后观察图形和莫兰指数的值来评估空间自相关性。
#### 引用[.reference_title]
- *1* [python求解全局莫兰指数和局部莫兰指数](https://blog.csdn.net/qq_44584476/article/details/125979490)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* *3* [【MATLAB】全局莫兰指数(含p值和z值)](https://blog.csdn.net/weixin_43249102/article/details/125490301)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^insertT0,239^v3^insert_chatgpt"}} ] [.reference_item]
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