12

我有一系列 x 和 y 坐标,每个坐标都有一个距离。我想创建一个热图,将 x 和 y 范围内每个点的平均距离显示为热图。由于点在网格状形状中彼此间隔不均匀,因此该方法将需要某种平滑函数来对数据进行聚类并计算附近每个点的平均值,然后用颜色表示该平均值。

到目前为止,使用ggplot2,我只能找到和 之类的方法stat_density2dgeom_tile它们仅适用于显示点密度和表示均匀间隔的点(据我所知)。

理想情况下,它将遵循与此图像相同的原则: 在此处输入图像描述

其中颜色是基于附近的给定点分配的,即使点的密度和位置不均匀。

我不想像这张图片一样以矩阵形式创建热图:在此处输入图像描述

其中表格是彩色编码的。相反,我想使用非均匀分布的 x 和 y 坐标创建一个连续的热图,实际上,它显示了数据被分成无限多个矩形的限制。这可能不是该函数使用的实际方法,但它提供了关于我正在寻找的内容的一般概念。

以下是一些示例数据:

data=data.frame(x=c(1,1,2,2,3,4,5,6,7,7,8,9),
  y=c(2,4,5,1,3,8,4,8,1,1,6,9),
  distance=c(66,84,93,76,104,29,70,19,60,50,46,36))

如何制作以距离作为覆盖整个数字范围的色标的热图,就像提供的第一个链接中的图一样?

任何帮助是极大的赞赏!

4

4 回答 4

11

为了生成具有不规则间隔坐标的连续地图,您首先需要对规则网格进行内插(此处使用interppackage 的函数akima):

require(akima)
data <- data.frame(x=c(1,1,2,2,3,4,5,6,7,7,8,9),
                   y=c(2,4,5,1,3,8,4,8,1,1,6,9),
                   distance=c(66,84,93,76,104,29,70,19,60,50,46,36))
resolution <- 0.1 # you can increase the resolution by decreasing this number (warning: the resulting dataframe size increase very quickly)
a <- interp(x=data$x, y=data$y, z=data$distance, 
            xo=seq(min(data$x),max(data$x),by=resolution), 
            yo=seq(min(data$y),max(data$y),by=resolution), duplicate="mean")
image(a) #you can of course modify the color palette and the color categories. See ?image for more explanation

在此处输入图像描述

或者,对于绘图本身,您可以使用函数filled.contour

filled.contour(a, color.palette=heat.colors)

在此处输入图像描述

于 2012-10-04T11:34:44.877 回答
2

这里有一个用户编写的函数,它使用 ggplot2 生成热图:

http://www.r-bloggers.com/ggheat-a-ggplot2-style-heatmap-function/

他们的示例图片:

例子

如果您想要的是您的示例中的地形图,则有很多工具(只需在“地形图”下搜索即可。

最后,是等数图,它只是表明如果你想要一些平滑,你需要明确你想要做什么:http: //dsparks.wordpress.com/2011/10/24/isarithmic-maps -公众意见数据/

于 2012-07-17T21:30:59.260 回答
0

使用akima::interp@plannapus 建议的解决方案,您可以将其转换为ggplot2热图。

这个 ggplot2 解决方案的优点是您可以轻松地添加初始点geom_point()或密度曲线geom_density2d()(尽管这里的密度对于您拥有的 12 个点将不可靠)。

library(akima)
library(tidyverse)
data <- data.frame(x=c(1,1,2,2,3,4,5,6,7,7,8,9),
                   y=c(2,4,5,1,3,8,4,8,1,1,6,9),
                   distance=c(66,84,93,76,104,29,70,19,60,50,46,36))
resolution <- 0.1 # you can increase the resolution by decreasing this number (warning: the resulting dataframe size increase very quickly)
a <- interp(x=data$x, y=data$y, z=data$distance, 
            xo=seq(min(data$x),max(data$x),by=resolution), 
            yo=seq(min(data$y),max(data$y),by=resolution), duplicate="mean")


res <- a$z %>% 
  magrittr::set_colnames(a$y) %>% 
  as_tibble() %>% 
  mutate(x=a$x) %>% 
  gather(y, z, -x, convert=TRUE)

res %>% 
  ggplot(aes(x, y)) +
  geom_tile(aes(fill=z)) +
  geom_point(data=data) +
  scale_fill_viridis_c()

reprex 包(v0.3.0.9001)于 2020 年 1 月 29 日创建

于 2020-01-29T18:25:12.157 回答
-2
ggplot2::ggfluctuation(data, type="colour")

I can't give out all this data but the head is below in the dput structure.

structure(list(X1 = 236:241, HomeTeam = structure(c(8L, 19L, 
37L, 4L, 6L, 15L), .Label = c("Arizona Cardinals", "Atlanta Falcons", 
"Baltimore Ravens", "Buffalo Bills", "Carolina Panthers", "Chicago Bears", 
"Cincinnati Bengals", "Cleveland Browns", "Dallas Cowboys", "Denver Broncos", 
"Detroit Lions", "Green Bay Packers", "Houston Oilers", "Houston Texans", 
"Indianapolis Colts", "Jacksonville Jaguars", "Kansas City Chiefs", 
"Los Angeles Raiders", "Los Angeles Rams", "Miami Dolphins", 
"Minnesota Vikings", "New England Patriots", "New Orleans Saints", 
"New York Giants", "New York Jets", "Oakland Raiders", "Philadelphia Eagles", 
"Phoenix Cardinals", "Pittsburgh Steelers", "San Diego Chargers", 
"San Francisco 49ers", "Seattle Seahawks", "St. Louis Rams", 
"Tampa Bay Buccaneers", "Tennessee Oilers", "Tennessee Titans", 
"Washington Redskins"), class = "factor"), AwayTeam = structure(c(9L, 
28L, 11L, 20L, 21L, 22L), .Label = c("Arizona Cardinals", "Atlanta Falcons", 
"Baltimore Ravens", "Buffalo Bills", "Carolina Panthers", "Chicago Bears", 
"Cincinnati Bengals", "Cleveland Browns", "Dallas Cowboys", "Denver Broncos", 
"Detroit Lions", "Green Bay Packers", "Houston Oilers", "Houston Texans", 
"Indianapolis Colts", "Jacksonville Jaguars", "Kansas City Chiefs", 
"Los Angeles Raiders", "Los Angeles Rams", "Miami Dolphins", 
"Minnesota Vikings", "New England Patriots", "New Orleans Saints", 
"New York Giants", "New York Jets", "Oakland Raiders", "Philadelphia Eagles", 
"Phoenix Cardinals", "Pittsburgh Steelers", "San Diego Chargers", 
"San Francisco 49ers", "Seattle Seahawks", "St. Louis Rams", 
"Tampa Bay Buccaneers", "Tennessee Oilers", "Tennessee Titans", 
"Washington Redskins"), class = "factor"), Date = structure(c(45L, 
45L, 45L, 45L, 45L, 45L), .Label = c("1990-09-09", "1990-09-10", 
"1990-09-16", "1990-09-17", "1990-09-23", "1990-09-24", "1990-09-30", 
"1990-10-01", "1990-10-07", "1990-10-08", "1990-10-14", "1990-10-15", 
"1990-10-18", "1990-10-21", "1990-10-22", "1990-10-28", "1990-10-29", 
"1990-11-04", "1990-11-05", "1990-11-11", "1990-11-12", "1990-11-18", 
"1990-11-19", "1990-11-22", "1990-11-25", "1990-11-26", "1990-12-02", 
"1990-12-03", "1990-12-09", "1990-12-10", "1990-12-15", "1990-12-16", 
"1990-12-17", "1990-12-22", "1990-12-23", "1990-12-29", "1990-12-30", 
"1990-12-31", "1991-01-05", "1991-01-06", "1991-01-12", "1991-01-13", 
"1991-01-20", "1991-01-27", "1991-09-01", "1991-09-02", "1991-09-08", 
"1991-09-09", "1991-09-15", "1991-09-16", "1991-09-22", "1991-09-23", 
"1991-09-29", "1991-09-30", "1991-10-06", "1991-10-07", "1991-10-13", 
"1991-10-14", "1991-10-17", "1991-10-20", "1991-10-21", "1991-10-27", 
"1991-10-28", "1991-11-03", "1991-11-04", "1991-11-10", "1991-11-11", 
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"2006-09-11", "2006-09-17", "2006-09-18", "2006-09-24", "2006-09-25", 
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"2006-12-23", "2006-12-24", "2006-12-25", "2006-12-30", "2006-12-31", 
"2007-01-06", "2007-01-07", "2007-01-13", "2007-01-14", "2007-01-21", 
"2007-02-04", "2007-09-06", "2007-09-09", "2007-09-10", "2007-09-16", 
"2007-09-17", "2007-09-23", "2007-09-24", "2007-09-30", "2007-10-01", 
"2007-10-07", "2007-10-08", "2007-10-14", "2007-10-15", "2007-10-21", 
"2007-10-22", "2007-10-28", "2007-10-29", "2007-11-04", "2007-11-05", 
"2007-11-11", "2007-11-12", "2007-11-18", "2007-11-19", "2007-11-22", 
"2007-11-25", "2007-11-26", "2007-11-29", "2007-12-02", "2007-12-03", 
"2007-12-06", "2007-12-09", "2007-12-10", "2007-12-13", "2007-12-15", 
"2007-12-16", "2007-12-17", "2007-12-20", "2007-12-22", "2007-12-23", 
"2007-12-24", "2007-12-29", "2007-12-30", "2008-01-05", "2008-01-06", 
"2008-01-12", "2008-01-13", "2008-01-20", "2008-02-03", "2008-09-04", 
"2008-09-07", "2008-09-08", "2008-09-14", "2008-09-15", "2008-09-21", 
"2008-09-22", "2008-09-28", "2008-09-29", "2008-10-05", "2008-10-06", 
"2008-10-12", "2008-10-13", "2008-10-19", "2008-10-20", "2008-10-26", 
"2008-10-27", "2008-11-02", "2008-11-03", "2008-11-06", "2008-11-09", 
"2008-11-10", "2008-11-13", "2008-11-16", "2008-11-17", "2008-11-20", 
"2008-11-23", "2008-11-24", "2008-11-27", "2008-11-30", "2008-12-01", 
"2008-12-04", "2008-12-07", "2008-12-08", "2008-12-11", "2008-12-14", 
"2008-12-15", "2008-12-18", "2008-12-20", "2008-12-21", "2008-12-22", 
"2008-12-28", "2009-01-03", "2009-01-04", "2009-01-10", "2009-01-11", 
"2009-01-18", "2009-02-01", "2009-09-10", "2009-09-13", "2009-09-14", 
"2009-09-20", "2009-09-21", "2009-09-27", "2009-09-28", "2009-10-04", 
"2009-10-05", "2009-10-11", "2009-10-12", "2009-10-18", "2009-10-19", 
"2009-10-25", "2009-10-26", "2009-11-01", "2009-11-02", "2009-11-08", 
"2009-11-09", "2009-11-12", "2009-11-15", "2009-11-16", "2009-11-19", 
"2009-11-22", "2009-11-23", "2009-11-26", "2009-11-29", "2009-11-30", 
"2009-12-03", "2009-12-06", "2009-12-07", "2009-12-10", "2009-12-13", 
"2009-12-14", "2009-12-17", "2009-12-19", "2009-12-20", "2009-12-21", 
"2009-12-25", "2009-12-27", "2009-12-28", "2010-01-03", "2010-01-09", 
"2010-01-10", "2010-01-16", "2010-01-17", "2010-01-24", "2010-02-07", 
"2010-09-09", "2010-09-12", "2010-09-13", "2010-09-19", "2010-09-20", 
"2010-09-26", "2010-09-27", "2010-10-03", "2010-10-04", "2010-10-10", 
"2010-10-11", "2010-10-17", "2010-10-18", "2010-10-24", "2010-10-25", 
"2010-10-31", "2010-11-01", "2010-11-07", "2010-11-08", "2010-11-11", 
"2010-11-14", "2010-11-15", "2010-11-18", "2010-11-21", "2010-11-22", 
"2010-11-25", "2010-11-28", "2010-11-29", "2010-12-02", "2010-12-05", 
"2010-12-06", "2010-12-09", "2010-12-12", "2010-12-13", "2010-12-16", 
"2010-12-19", "2010-12-20", "2010-12-23", "2010-12-25", "2010-12-26", 
"2010-12-27", "2010-12-28", "2011-01-02", "2011-01-08", "2011-01-09", 
"2011-01-15", "2011-01-16", "2011-01-23", "2011-02-06"), class = "factor"), 
    Season = c(1991, 1991, 1991, 1991, 1991, 1991), HomeRecord = structure(c(1L, 
    1L, 17L, 17L, 17L, 1L), .Label = c("(0-1-0)", "(0-10-0)", 
    "(0-11-0)", "(0-12-0)", "(0-13-0)", "(0-14-0)", "(0-15-0)", 
    "(0-16-0)", "(0-2-0)", "(0-3-0)", "(0-4-0)", "(0-5-0)", "(0-6-0)", 
    "(0-7-0)", "(0-8-0)", "(0-9-0)", "(1-0-0)", "(1-1-0)", "(1-10-0)", 
    "(1-10-1)", "(1-11-0)", "(1-11-1)", "(1-12-0)", "(1-13-0)", 
    "(1-14-0)", "(1-15-0)", "(1-2-0)", "(1-3-0)", "(1-4-0)", 
    "(1-5-0)", "(1-6-0)", "(1-7-0)", "(1-8-0)", "(1-8-1)", "(1-9-0)", 
    "(1-9-1)", "(10-0-0)", "(10-1-0)", "(10-2-0)", "(10-3-0)", 
    "(10-4-0)", "(10-5-0)", "(10-5-1)", "(10-6-0)", "(10-6-1)", 
    "(10-7-0)", "(10-7-1)", "(10-8-0)", "(11-0-0)", "(11-1-0)", 
    "(11-2-0)", "(11-3-0)", "(11-4-0)", "(11-5-0)", "(11-5-1)", 
    "(11-6-0)", "(11-6-1)", "(11-7-0)", "(11-7-1)", "(11-8-0)", 
    "(12-0-0)", "(12-1-0)", "(12-2-0)", "(12-3-0)", "(12-4-0)", 
    "(12-5-0)", "(12-6-0)", "(12-7-0)", "(12-8-0)", "(13-0-0)", 
    "(13-1-0)", "(13-2-0)", "(13-3-0)", "(13-4-0)", "(13-5-0)", 
    "(13-6-0)", "(14-0-0)", "(14-1-0)", "(14-2-0)", "(14-3-0)", 
    "(14-4-0)", "(14-5-0)", "(14-6-0)", "(15-0-0)", "(15-1-0)", 
    "(15-2-0)", "(15-3-0)", "(15-4-0)", "(15-5-0)", "(16-0-0)", 
    "(16-1-0)", "(16-2-0)", "(16-3-0)", "(16-4-0)", "(17-0-0)", 
    "(17-2-0)", "(18-0-0)", "(18-1-0)", "(2-0-0)", "(2-1-0)", 
    "(2-10-0)", "(2-11-0)", "(2-11-1)", "(2-12-0)", "(2-13-0)", 
    "(2-14-0)", "(2-2-0)", "(2-3-0)", "(2-4-0)", "(2-5-0)", "(2-6-0)", 
    "(2-7-0)", "(2-8-0)", "(2-9-0)", "(3-0-0)", "(3-1-0)", "(3-10-0)", 
    "(3-11-0)", "(3-11-1)", "(3-12-0)", "(3-13-0)", "(3-2-0)", 
    "(3-3-0)", "(3-4-0)", "(3-5-0)", "(3-6-0)", "(3-7-0)", "(3-8-0)", 
    "(3-9-0)", "(4-0-0)", "(4-1-0)", "(4-10-0)", "(4-11-0)", 
    "(4-11-1)", "(4-12-0)", "(4-2-0)", "(4-3-0)", "(4-4-0)", 
    "(4-5-0)", "(4-6-0)", "(4-6-1)", "(4-7-0)", "(4-7-1)", "(4-8-0)", 
    "(4-8-1)", "(4-9-0)", "(5-0-0)", "(5-1-0)", "(5-10-0)", "(5-11-0)", 
    "(5-2-0)", "(5-3-0)", "(5-3-1)", "(5-4-0)", "(5-4-1)", "(5-5-0)", 
    "(5-5-1)", "(5-6-0)", "(5-6-1)", "(5-7-0)", "(5-8-0)", "(5-8-1)", 
    "(5-9-0)", "(6-0-0)", "(6-1-0)", "(6-10-0)", "(6-2-0)", "(6-3-0)", 
    "(6-3-1)", "(6-4-0)", "(6-4-1)", "(6-5-0)", "(6-5-1)", "(6-6-0)", 
    "(6-6-1)", "(6-7-0)", "(6-7-1)", "(6-8-0)", "(6-8-1)", "(6-9-0)", 
    "(6-9-1)", "(7-0-0)", "(7-1-0)", "(7-2-0)", "(7-3-0)", "(7-3-1)", 
    "(7-4-0)", "(7-4-1)", "(7-5-0)", "(7-5-1)", "(7-6-0)", "(7-6-1)", 
    "(7-7-0)", "(7-7-1)", "(7-8-0)", "(7-9-0)", "(8-0-0)", "(8-1-0)", 
    "(8-10-0)", "(8-2-0)", "(8-3-0)", "(8-3-1)", "(8-4-0)", "(8-4-1)", 
    "(8-5-0)", "(8-5-1)", "(8-6-0)", "(8-6-1)", "(8-7-0)", "(8-7-1)", 
    "(8-8-0)", "(8-9-0)", "(9-0-0)", "(9-1-0)", "(9-2-0)", "(9-3-0)", 
    "(9-4-0)", "(9-5-0)", "(9-5-1)", "(9-6-0)", "(9-6-1)", "(9-7-0)", 
    "(9-8-0)", "(9-9-0)"), class = "factor"), AwayRecord = structure(c(17L, 
    17L, 1L, 1L, 1L, 17L), .Label = c("(0-1-0)", "(0-10-0)", 
    "(0-11-0)", "(0-12-0)", "(0-13-0)", "(0-14-0)", "(0-15-0)", 
    "(0-16-0)", "(0-2-0)", "(0-3-0)", "(0-4-0)", "(0-5-0)", "(0-6-0)", 
    "(0-7-0)", "(0-8-0)", "(0-9-0)", "(1-0-0)", "(1-1-0)", "(1-10-0)", 
    "(1-10-1)", "(1-11-0)", "(1-11-1)", "(1-12-0)", "(1-13-0)", 
    "(1-14-0)", "(1-15-0)", "(1-2-0)", "(1-3-0)", "(1-4-0)", 
    "(1-5-0)", "(1-6-0)", "(1-7-0)", "(1-8-0)", "(1-8-1)", "(1-9-0)", 
    "(1-9-1)", "(10-0-0)", "(10-1-0)", "(10-2-0)", "(10-3-0)", 
    "(10-4-0)", "(10-5-0)", "(10-5-1)", "(10-6-0)", "(10-6-1)", 
    "(10-7-0)", "(10-7-1)", "(10-8-0)", "(11-0-0)", "(11-1-0)", 
    "(11-2-0)", "(11-3-0)", "(11-4-0)", "(11-5-0)", "(11-5-1)", 
    "(11-6-0)", "(11-6-1)", "(11-7-0)", "(11-7-1)", "(11-8-0)", 
    "(12-0-0)", "(12-1-0)", "(12-2-0)", "(12-3-0)", "(12-4-0)", 
    "(12-5-0)", "(12-6-0)", "(12-7-0)", "(12-8-0)", "(13-0-0)", 
    "(13-1-0)", "(13-2-0)", "(13-3-0)", "(13-4-0)", "(13-5-0)", 
    "(13-6-0)", "(14-0-0)", "(14-1-0)", "(14-2-0)", "(14-3-0)", 
    "(14-4-0)", "(14-5-0)", "(14-6-0)", "(15-0-0)", "(15-1-0)", 
    "(15-2-0)", "(15-3-0)", "(15-4-0)", "(15-5-0)", "(16-0-0)", 
    "(16-1-0)", "(16-2-0)", "(16-3-0)", "(16-4-0)", "(17-0-0)", 
    "(17-2-0)", "(18-0-0)", "(18-1-0)", "(2-0-0)", "(2-1-0)", 
    "(2-10-0)", "(2-11-0)", "(2-11-1)", "(2-12-0)", "(2-13-0)", 
    "(2-14-0)", "(2-2-0)", "(2-3-0)", "(2-4-0)", "(2-5-0)", "(2-6-0)", 
    "(2-7-0)", "(2-8-0)", "(2-9-0)", "(3-0-0)", "(3-1-0)", "(3-10-0)", 
    "(3-11-0)", "(3-11-1)", "(3-12-0)", "(3-13-0)", "(3-2-0)", 
    "(3-3-0)", "(3-4-0)", "(3-5-0)", "(3-6-0)", "(3-7-0)", "(3-8-0)", 
    "(3-9-0)", "(4-0-0)", "(4-1-0)", "(4-10-0)", "(4-11-0)", 
    "(4-11-1)", "(4-12-0)", "(4-2-0)", "(4-3-0)", "(4-4-0)", 
    "(4-5-0)", "(4-6-0)", "(4-6-1)", "(4-7-0)", "(4-7-1)", "(4-8-0)", 
    "(4-8-1)", "(4-9-0)", "(5-0-0)", "(5-1-0)", "(5-10-0)", "(5-11-0)", 
    "(5-2-0)", "(5-3-0)", "(5-3-1)", "(5-4-0)", "(5-4-1)", "(5-5-0)", 
    "(5-5-1)", "(5-6-0)", "(5-6-1)", "(5-7-0)", "(5-8-0)", "(5-8-1)", 
    "(5-9-0)", "(6-0-0)", "(6-1-0)", "(6-10-0)", "(6-2-0)", "(6-3-0)", 
    "(6-3-1)", "(6-4-0)", "(6-4-1)", "(6-5-0)", "(6-5-1)", "(6-6-0)", 
    "(6-6-1)", "(6-7-0)", "(6-7-1)", "(6-8-0)", "(6-8-1)", "(6-9-0)", 
    "(6-9-1)", "(7-0-0)", "(7-1-0)", "(7-2-0)", "(7-3-0)", "(7-3-1)", 
    "(7-4-0)", "(7-4-1)", "(7-5-0)", "(7-5-1)", "(7-6-0)", "(7-6-1)", 
    "(7-7-0)", "(7-7-1)", "(7-8-0)", "(7-9-0)", "(8-0-0)", "(8-1-0)", 
    "(8-10-0)", "(8-2-0)", "(8-3-0)", "(8-3-1)", "(8-4-0)", "(8-4-1)", 
    "(8-5-0)", "(8-5-1)", "(8-6-0)", "(8-6-1)", "(8-7-0)", "(8-7-1)", 
    "(8-8-0)", "(8-9-0)", "(9-0-0)", "(9-1-0)", "(9-2-0)", "(9-3-0)", 
    "(9-4-0)", "(9-5-0)", "(9-5-1)", "(9-6-0)", "(9-6-1)", "(9-7-0)", 
    "(9-8-0)", "(9-9-0)"), class = "factor"), HomeFinal = c(14L, 
    14L, 45L, 35L, 10L, 7L), AwayFinal = c(26L, 24L, 0L, 31L, 
    6L, 16L), HomeLast = c(4, 4, 5, 5, 0, 7), AwayLast = c(6, 
    4, 0, 1, 6, 6), Winner = c("Away", "Away", "Home", "Home", 
    "Home", "Away")), .Names = c("X1", "HomeTeam", "AwayTeam", 
"Date", "Season", "HomeRecord", "AwayRecord", "HomeFinal", "AwayFinal", 
"HomeLast", "AwayLast", "Winner"), row.names = c(NA, 6L), class = "data.frame")

Then you would do.

ggfluctuation(table(gamesWide$HomeLast, gamesWide$AwayLast), type="colour") + labs(x="Away", y="Home") + opts(title="Distribution of Last Digit of Score")

To get enter image description here

Of course, that image was generated using the full dataset. This should be further extensible to data that isn't so symmetric and rectangular.

于 2012-07-18T01:18:57.857 回答