我使用的这个函数估计二维核密度。我稍微用这个函数但是参数相混淆。

I am using this function to estimate kernel density in 2D. I am slightly confused by the parameters of this function however.

下面是一个例子，从正上方，其中密度正在计算在每个点（O）在图中被观看。即：在非常小的区域

Here is an example, viewed from directly above, where density is being calculated at each point (O) in the figure. i.e: over very small areas.

我想改变KDE功能参数，使得密度计算在较大的区域（例如，区域红圈）。哪些参数，我需要改变吗？我presume这是一个（或两个）：

I want to change the KDE function parameters so that density is computed over a larger area (for example, the area circled in red). Which parameters do I need to change? I presume it is one (or both) of these:

N：在其密度计算的由N格（缺省为2 ^ 8）的尺寸

"n: size of the n by n grid over which the density is computed (default 2^8)"

或

MIN_XY，MAX_XY：边界框在其上密度计算的限制。默认限额计算如下：

"MIN_XY, MAX_XY: limits of the bounding box over which the density is computed". The default limits are computed as:

MAX = max(data,[],1); 
MIN = min(data,[],1); 
Range = MAX-MIN; 
MAX_XY = MAX+Range/4; 
MIN_XY = MIN-Range/4;

非常感谢。

推荐答案

我已经运行了该功能的一些测试，解决的办法是使用下 n值。这里是一系列的比较图中，使用相同的数据集。 n的值被显示在标题（所有其它参数保持不变）：

I have run some tests with this function and the solution is to use lower values of n. Here is a series of comparison figures, using the same dataset. The value of n is shown in the title (all other parameters are kept constant):