Creating a continuous heat map in R

Question

Creating a continuous heat map in R

I have a sequence of x and y coordinates, each of which has a distance attached to them. I would like to create a heat map that displays the average distance for each point in the x and y ranges as a heat map. Since the points are not evenly distributed from each other in a shape similar to a lattice, this method will require some kind of smoothing function that groups the data and calculates the average value for each point in the neighborhood, and then represents this average value with color.

So far, using ggplot2, I can only find methods such as stat_density2dand geom_tilethat work only to display the density of points and represent evenly spaced points (as far as I can tell).

Ideally, he will follow the same principle as this image: enter image description here

in which the colors were assigned based on data points in the neighborhood, although the density and location of the points were uneven.

I do not want to create a heat map in the form of a matrix similar to this image: enter image description here

in which the table has color coding. Instead, I would like to create a continuous heat map using the unevenly distributed x and y coordinates, which actually displays the limit at which the data is divided into an infinite number of rectangles. It may not be the actual method used by the function, but it gives a general idea of what I'm looking for.

Here are some sample data:

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))

How can I make a heat map with a distance in the form of a color scale that covers the entire range of numbers, for example, the graph in the first link?

Any help is much appreciated!

+5

r map ggplot2 continuous heat

user1532996 17 . '12 21:21

3

plannapus · Answer 1 · 2012-10-04T11:34:44+0000

, ( interp 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

filled.contour:

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

Ari B. Friedman · Answer 2 · 2012-07-17T21:30:59+0000

, ggplot2:

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

:

, , ( " ".

, , , , , , , : http://dsparks.wordpress.com/2011/10/24/isarithmic-maps-of-public-opinion-data/

Jared · Answer 3 · 2012-07-18T01:18:57+0000

ggplot2::ggfluctuation(data, type="colour")

, head dput.

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", 
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"1990-11-04", "1990-11-05", "1990-11-11", "1990-11-12", "1990-11-18", 
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"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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"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")

.

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

, . , .

Creating a continuous heat map in R

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