R version 4.0.2 (2020-06-22) -- "Taking Off Again"
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> options("rgdal_show_exportToProj4_warnings"="none")
> library(sp)
> data(meuse)
> # pick 10 rows
> n = 10
> set.seed(1357) # fix seed for exact reproduction of test:
> ran10 = sample(nrow(meuse), size = n, replace = FALSE)
> meusedup = rbind(meuse, meuse[ran10, ])
> coordinates(meusedup) = c("x", "y")
> zd = zerodist(meusedup)
> sum(abs(sort(zd[,1]) - sort(ran10))) # 0!
[1] 0
> zerodist(meusedup, unique.ID = TRUE)
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
[19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
[37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
[55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
[73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
[91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
[109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
[145] 145 146 147 148 149 150 151 152 153 154 155 140 9 26 7 90 17 133
[163] 82 35 116
> # remove the duplicate rows:
> meusedup2 = meusedup[-zd[,2], ]
> print(summary(meusedup2))
Object of class SpatialPointsDataFrame
Coordinates:
min max
x 178605 181390
y 329714 333611
Is projected: NA
proj4string : [NA]
Number of points: 155
Data attributes:
cadmium copper lead zinc
Min. : 0.200 Min. : 14.00 Min. : 37.0 Min. : 113.0
1st Qu.: 0.800 1st Qu.: 23.00 1st Qu.: 72.5 1st Qu.: 198.0
Median : 2.100 Median : 31.00 Median :123.0 Median : 326.0
Mean : 3.246 Mean : 40.32 Mean :153.4 Mean : 469.7
3rd Qu.: 3.850 3rd Qu.: 49.50 3rd Qu.:207.0 3rd Qu.: 674.5
Max. :18.100 Max. :128.00 Max. :654.0 Max. :1839.0
elev dist om ffreq soil lime
Min. : 5.180 Min. :0.00000 Min. : 1.000 1:84 1:97 0:111
1st Qu.: 7.546 1st Qu.:0.07569 1st Qu.: 5.300 2:48 2:46 1: 44
Median : 8.180 Median :0.21184 Median : 6.900 3:23 3:12
Mean : 8.165 Mean :0.24002 Mean : 7.478
3rd Qu.: 8.955 3rd Qu.:0.36407 3rd Qu.: 9.000
Max. :10.520 Max. :0.88039 Max. :17.000
NA's :2
landuse dist.m
W :50 Min. : 10.0
Ah :39 1st Qu.: 80.0
Am :22 Median : 270.0
Fw :10 Mean : 290.3
Ab : 8 3rd Qu.: 450.0
(Other):25 Max. :1000.0
NA's : 1
> meusedup3 <- subset(meusedup, !(1:nrow(meusedup) %in% zd[,2]))
> print(summary(meusedup3))
Object of class SpatialPointsDataFrame
Coordinates:
min max
x 178605 181390
y 329714 333611
Is projected: NA
proj4string : [NA]
Number of points: 155
Data attributes:
cadmium copper lead zinc
Min. : 0.200 Min. : 14.00 Min. : 37.0 Min. : 113.0
1st Qu.: 0.800 1st Qu.: 23.00 1st Qu.: 72.5 1st Qu.: 198.0
Median : 2.100 Median : 31.00 Median :123.0 Median : 326.0
Mean : 3.246 Mean : 40.32 Mean :153.4 Mean : 469.7
3rd Qu.: 3.850 3rd Qu.: 49.50 3rd Qu.:207.0 3rd Qu.: 674.5
Max. :18.100 Max. :128.00 Max. :654.0 Max. :1839.0
elev dist om ffreq soil lime
Min. : 5.180 Min. :0.00000 Min. : 1.000 1:84 1:97 0:111
1st Qu.: 7.546 1st Qu.:0.07569 1st Qu.: 5.300 2:48 2:46 1: 44
Median : 8.180 Median :0.21184 Median : 6.900 3:23 3:12
Mean : 8.165 Mean :0.24002 Mean : 7.478
3rd Qu.: 8.955 3rd Qu.:0.36407 3rd Qu.: 9.000
Max. :10.520 Max. :0.88039 Max. :17.000
NA's :2
landuse dist.m
W :50 Min. : 10.0
Ah :39 1st Qu.: 80.0
Am :22 Median : 270.0
Fw :10 Mean : 290.3
Ab : 8 3rd Qu.: 450.0
(Other):25 Max. :1000.0
NA's : 1
> dim(meuse)
[1] 155 14
> dim(meusedup2)
[1] 155 12
> dim(meusedup3)
[1] 155 12
> dim(remove.duplicates(meusedup))
[1] 155 12
>
> proc.time()
user system elapsed
0.241 0.025 0.259
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