直观地汇总一堆有向线段


9

我有一个数百万有向线段的数据集。线段是连续的-这是一个气候变量(显热),每半小时就有观察和模拟的值。我正在尝试寻找模拟执行方式的模式。我正在查看obs与仿真值的散点图,并将它们与线段链接(箭头表示时间方向)。如果我绘制它们,我将得到一个无法解释的模糊混乱,就像这样:

线

这是10000行的子集,绘制得很好并且具有低不透明度:

ggplot(d, aes(x=Qh_obs, xend=lead(Qh_obs), y=Qh_sim, yend=lead(Qh_sim))) +
  geom_segment(size=0.1, alpha=0.2, arrow=arrow(length=unit(2, units='mm')))

dput() 前700行数据(受发布长度限制):

structure(
    list(
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        ),
    .Names = c( "Qh_sim", "Qh_obs"),
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    )

我有兴趣尝试直观地总结这些行的流程。是否有汇总这些信息的常用方法?我可以做一个矢量场图,但我想我会丢失一些相关信息-特别是某些较密集的区域可能具有多组线段。我正在考虑对这些片段进行聚类(使用四个变量作为特征),然后绘制平均值,或者绘制风向矢矢量场,但是我想看看是否有更好的方法。


1
如果以代表方向的颜色绘制它们,会看到图案吗?让我想到的是,当发生强烈暴风雨时,我已经在电视上看到雷达图像,其颜色是基于风向的,通过寻找颜色突然变化的地方可以发现龙卷风。
罗斯·伦斯

好主意啊。我完全忘记了使用其他视觉变量。我想我也许也可以用线宽指示群集中的元素数量。
naught101

我能想到的另一件事是某种类型的动态或动画情节,其滑块可在时间上选择一个狭窄的窗口,但可以平滑移动,以便您可以看到事物的变化。
罗斯·伦斯

是的,这也值得尝试,但是我主要是在这里查看一个每日周期,数据以30分钟为间隔,并且是3到7年,因此虽然可行,但可能很难处理。
naught101

4
您写有,但实际上在图中似乎有分段线性轨迹(即段都端到端连接)?是这样吗?如果是,您可能需要将其编辑为问题,因为它可能会影响可能的答案(很遗憾,我对此一无所知)。
Stephan Kolassa 2014年

Answers:


4

您还可以拆分成多个时间段并进行多面图绘制。如果流在自身上来回移动几次,将很有帮助。

可能也可以使片段平滑以对流程有一些了解,但我认为分面将是第一步。


1

一种可能是跨几天取平均值,以获得一个或几个“平均”每日周期,而不是1,000+天。

另一个想法可能是Tominski,Schumann,Andrienko和Andrienko(2012)中的3D表示形式。

参考:

Tominski,C.,Schumann,H.,Andrienko,G.,Andrienko,N.(2012年)。基于堆栈的轨迹属性数据可视化。可视化和计算机图形学,IEEE Transactions on,vol.18,no.12,pp.2565,2574,2012年12月。doi:10.1109 / TVCG.2012.265。http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6327262&isnumber=6327196


这些是一些很酷的图,但是它们实际上是在处理3D数据,这些数据对人类的空间关系概念(经纬度,时间;虽然实际上只有2D:沿道路的时间和距离)有意义。我不确定如何将其转化为这种情况。平均每日地块很有趣,但是它们
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