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Adaptative.density()(spatstat)如何管理重复的点和默认f值

[英]How is adaptative.density() (spatstat) managing duplicated points and default f value

I can not find this information in the reference literature [1] 我在参考文献[1]中找不到此信息。

1)how adaptative.density() (package spatstat) manage duplicated spatial points. 1)adaptative.density()(包spatstat)如何管理重复的空间点。 I have duplicated points exactly in the same position because I am combining measurements from different years, and I am expecting that the density curve is higher in those areas but I am not sure about it. 我已经在同一位置精确地复制了点,因为我合并了不同年份的测量值,并且我期望这些区域的密度曲线会更高,但是我不确定。

2) is the default value of f in adaptative.density() f=0 or f=1? 2)Adaptative.density()f的默认值是f = 0还是f = 1? My guess is that it is f=0, so it is doing an adaptive estimate by calculating the intensity estimate at every location equal to the average intensity (number of points divided by window area) 我的猜测是f = 0,因此它通过在等于平均强度(点数除以窗口面积)的每个位置计算强度估计来进行自适应估计

Thank you for your time and input! 感谢您的时间和投入!

The default value of f is 0.1 as you can see from the "Usage" section in the help file. 从帮助文件的“用法”部分可以看到, f的默认值为0.1

The function subsamples the point pattern with this selection probability and uses the resulting pattern to generate a Dirichlet tessellation (if there are duplicated points here they are ignored). 该函数以这种选择概率对点模式进行二次采样,并使用结果模式生成Dirichlet细分(如果此处存在重复的点,则将其忽略)。 The other fraction of points (1-f) is used to estimate the intensity by the number of points in each tile of the tessellation divided by the corresponding area (here duplicated points count equally to the total count in the tile). 点的其他部分(1-f)用于通过细分的每个图块中的点数除以相应区域来估计强度(此处重复的点数与图块中的总计数相等)。

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