问题描述
我想将其制作成热图的文本文件(data.csv)中包含(x，y)数据.
I have (x,y) data in a text file (data.csv) I would like to make into a heat map.
X Y
-60 -18
60 -62
7 14
-22 -60
59 58
29 22
-58 -18
60 -61
7 14
-21 -59
61 59
29 22
-57 -18
-22 -59
59 60
29 24
-56 -17
61 -60
8 16
-20 -58
62 60
30 23
理想情况下，我希望能够导入文本文件并将其保存到450px x 200px的图像文件(PNG或JPG)中.
Ideally I would like to be able to import the text file and save it to a image file (PNG or JPG) that is 450px x 200px.
热图需要更像您在Google Maps上找到的(此处的示例)，而不是矩阵(此处的示例).
The heat map needs to be more like one you'd find on Google Maps (example here) than a matrix (example here).
谢谢.
推荐答案
如果您正在查看密度图，其中颜色表示平面中点的分布，则可以使用例如kde2d函数从MASS库中紧随其后，然后是filled.contour.
If you are looking at a density plot, where the color represents distribution of the points in the plane, you can use, for example, the kde2d function from the MASS library followed by filled.contour.
可复制的示例:
d <- structure(list(X = c(-60L, 60L, 7L, -22L, 59L, 29L, -58L, 60L,
7L, -21L, 61L, 29L, -57L, -22L, 59L, 29L, -56L, 61L, 8L, -20L,
62L, 30L), Y = c(-18L, -62L, 14L, -60L, 58L, 22L, -18L, -61L,
14L, -59L, 59L, 22L, -18L, -59L, 60L, 24L, -17L, -60L, 16L, -58L,
60L, 23L)), .Names = c("X", "Y"), class = "data.frame", row.names = c(NA,
-22L))
require(MASS)
dens <- kde2d(d$X, d$Y, h=75, n=50) #overrode default bandwidth
filled.contour(dens)
有许多其他功能可以根据给定的密度绘制图.
There are lots of other functions that will make you a plot given the density.
这篇关于从R中的(x，y)关联创建热图的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！