R Dataset / Package robustbase / radarImage

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<iframe src="https://embed.picostat.com/r-dataset-package-robustbase-radarimage.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-69063.csv 38.24 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the radarImage data set which pertains to Satellite Radar Image Data from near Munich. The radarImage data set is found in the robustbase R package. You can load the radarImage data set in R by issuing the following command at the console data("radarImage"). This will load the data into a variable called radarImage. If R says the radarImage data set is not found, you can try installing the package by issuing this command install.packages("robustbase") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the radarImage R data set. The size of this file is about 39,162 bytes.

Documentation

Satellite Radar Image Data from near Munich

Description

The data were supplied by A. Frery. They are a part of a synthetic aperture satellite radar image corresponding to a suburb of Munich. Provided are coordinates and values corresponding to three frequency bands for each of 1573 pixels.

Usage

data(radarImage)

Format

A data frame with 1573 observations on the following 5 variables.

X.coord

a numeric vector

Y.coord

a numeric vector

Band.1

a numeric vector

Band.2

a numeric vector

Band.3

a numeric vector

Source

The website accompanying the MMY-book: http://www.wiley.com/legacy/wileychi/robust_statistics

Examples

data(radarImage)
plot(Y.coord ~ X.coord, data = radarImage)## The 8 "clear" outliers (see also below)
ii8 <- c(1548:1549, 1553:1554, 1565:1566, 1570:1571)
outF <- 1+(seq_len(nrow(radarImage)) %in% ii8)
pairs(radarImage[, 3:5], main = "radarImage (n = 1573)",
      col = outF, pch=outF)## Finding outliers -----------------------------------------set.seed(1)
system.time(cc.ri <- covMcd(radarImage))# ~ 0.1 sec
## check for covMcd() consistency:
iiO <- as.integer(
 c(262, 450:451, 480:481, 509, 535, 542, 597, 643, 669, 697, 803:804, 832:834,
   862:864, 892, 989, 1123, 1145, 1223:1224, 1232:1233, 1249:1250, 1267, 1303,
   1347, 1357, 1375, 1411, 1419:1420, 1443, 1453, 1504, 1510:1512,
   1518:1521, 1525:1526, 1543:1544, 1546:1555, 1557:1558, 1561:1562, 1564:1566,
   1569:1571, 1573))
length(iiO) # 73 -- other seeds sometimes give 72, rarely 71 "outliers"
isO <- cc.ri$mcd.wt == 0
stopifnot(identical(iiO, which(isO)),
          identical(ii8, which(cc.ri$mah > 100)),
          length(intersect(cc.ri$best, iiO)) == 0)cc <- c(adjustcolor("black", 0.4), adjustcolor("tomato", 0.8))
pairs(radarImage, main = "radarImage (n = 1573) + Outliers", gap=0,
      col = cc[1+isO], pch = c(1,8)[1+isO], cex = 0.8)
--

Dataset imported from https://www.r-project.org.

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