Multiple Spatial Outliers (II)

Data used in section 4.2

 

 

Number

Horizontal coordinate

Vertical coordinate

y

x1

x2

x3

1    

1.000

1.000

32.78

0.54784493

0.82213539

0.45341614

2    

1.000

2.000

22.47

-0.8158018

0.71737187

-0.93343813

3    

1.000

3.000

20.31

-0.16766112

-1.2541481

0.1117142

4    

1.000

4.000

17.27

0.45886018

-2.1510034

-0.44682705

5    

1.000

5.000

43.03

0.75794148

1.1043771

0.15490419

6    

1.000

6.000

33.47

0.26291612

-0.14453305

-0.43449769

7    

1.000

7.000

26.00

0.25416016

-2.4401229

0.23755157

8    

1.000

8.000

25.15

-0.90761043

-0.74113494

-0.3404661

9    

1.000

9.000

25.41

-0.37453

-0.95395765

-1.0784014

10   

1.000

10.00

50.06

1.2180829

1.4423654

1.4881364

11   

1.000

11.00

46.89

0.95468207

0.65912194

1.4102467

12   

1.000

12.00

41.13

-0.011474036

1.509178

0.48763695

13   

2.000

1.000

14.05

-2.0777969

0.36741176

-0.88208727

14   

2.000

2.000

33.44

1.8088417

-0.36037351

0.062865718

15   

2.000

3.000

26.21

-0.33227017

0.62787484

-0.27135327

16   

2.000

4.000

37.78

1.2777222

0.97868133

0.95863118

17   

2.000

5.000

40.06

-0.82084952

2.1596949

0.34084298

18   

2.000

6.000

42.49

0.55436779

1.6540119

-0.57826431

19   

2.000

7.000

40.78

0.36520022

1.5667393

-0.13038024

20   

2.000

8.000

27.78

-0.38271989

-0.95756683

-0.36816615

21   

2.000

9.000

23.84

-1.2788478

-0.69838195

-0.064157317

22   

2.000

10.00

37.91

-0.88738937

1.4686584

0.8723052

23   

2.000

11.00

40.71

0.59183727

1.0827484

-0.046120129

24   

2.000

12.00

29.94

-0.042065554

-1.7038856

0.41876374

25   

3.000

1.000

33.45

0.94294663

0.26783082

0.64574982

26   

3.000

2.000

16.16

-1.2953629

1.1009346

-1.6165272

27   

3.000

3.000

20.83

-0.52500559

-0.30763972

0.076596103

28   

3.000

4.000

31.33

0.026595496

0.84694637

0.69915668

29   

3.000

5.000

44.98

1.8580843

0.42145978

0.014874453

30   

3.000

6.000

40.82

1.6395501

-0.73163741

0.93215597

31   

3.000

7.000

31.46

0.44677121

-0.32155513

-0.10728203

32   

3.000

8.000

18.22

0.40907477

-2.9377615

-1.8925495

33   

3.000

9.000

32.74

0.82350703

-1.0334831

-0.48990711

34   

3.000

10.00

29.66

-0.19614912

-1.2751802

0.35852099

35   

3.000

11.00

29.79

-0.45916352

-0.031477683

0.3699952

36   

3.000

12.00

29.39

-0.35028891

-0.34769324

-0.72698687

37   

4.000

1.000

14.23

-0.43929131

-0.25479944

-2.1981897

38   

4.000

2.000

36.81

0.82261082

1.3845665

1.420494

39   

4.000

3.000

27.37

0.92633946

-0.47879221

-0.035669283

40   

4.000

4.000

30.36

0.47550598

0.21298832

0.35043867

41   

4.000

5.000

42.45

-1.080147

2.3180687

1.8195346

42   

4.000

6.000

33.21

-0.44483466

0.061067469

0.18046257

43   

4.000

7.000

24.40

-1.1232088

-0.83152694

-0.11367187

44   

4.000

8.000

46.71

2.5641625

-1.0047651

1.2039647

45   

4.000

9.000

32.26

0.60670392

-0.60979094

-1.0050092

46   

4.000

10.00

37.00

1.2834712

-0.008238284

-1.021394

47   

4.000

11.00

29.79

-0.77793954

0.58110609

-0.67163831

48   

4.000

12.00

31.13

-0.29559566

-0.055749941

-0.12304607

49   

5.000

1.000

39.85

0.26637963

0.91609223

0.32728331

50   

5.000

2.000

32.02

-0.15413991

-1.2683367

1.0804682

51   

5.000

3.000

29.21

-0.33521531

-0.6052115

0.25803009

52   

5.000

4.000

37.73

1.4234058

-0.11164578

-0.47838299

53   

5.000

5.000

37.59

1.2670985

0.97252479

-1.7918849

54   

5.000

6.000

33.03

0.82805328

-1.3799357

0.5048844

55   

5.000

7.000

37.06

-0.79980071

2.1797383

-0.54118491

56   

5.000

8.000

51.70

2.2810999

0.76406422

0.93328019

57   

5.000

9.000

42.05

1.7150006

1.1163304

-0.99405255

58   

5.000

10.00

41.60

0.14057559

0.98775182

0.99867311

59   

5.000

11.00

49.81

0.64097476

1.9624522

1.3415564

60   

5.000

12.00

35.13

0.22040716

-1.9322977

2.2485571

61   

6.000

1.000

44.66

1.3053138

0.54595658

0.42974645

62   

6.000

2.000

31.34

0.2717988

-0.64059147

-1.0005259

63   

6.000

3.000

40.42

1.0219179

-0.10393499

0.87971199

64   

6.000

4.000

43.24

-0.02833944

1.6656252

1.7204326

65   

6.000

5.000

42.01

1.2825187

0.94278174

-0.55275234

66   

6.000

6.000

27.14

-0.82432024

-0.019403648

-0.56422154

67   

6.000

7.000

28.08

-0.38649017

-0.57792789

-0.5019602

68   

6.000

8.000

40.82

0.50290945

1.7483843

-1.0169504

69   

6.000

9.000

39.60

0.73602622

-0.13966419

0.89649379

70   

6.000

10.00

32.84

0.30133093

0.48590786

-0.96958908

71   

6.000

11.00

19.46

-1.8310222

-0.71264299

-0.34715844

72   

6.000

12.00

34.72

-0.53759585

-0.10627751

0.72040863

73   

7.000

1.000

38.16

0.18291164

0.47676666

0.25081353

74   

7.000

2.000

42.99

0.50829946

0.76502878

1.2005259

75   

7.000

3.000

48.26

2.7216431

-0.24891927

1.2006836

76   

7.000

4.000

31.58

-1.1817275

1.3251118

-0.39392351

77   

7.000

5.000

31.95

0.53686496

-0.9288649

-0.41635676

78   

7.000

6.000

34.50

-0.15577393

-0.35378324

0.67681333

79   

7.000

7.000

31.47

1.1850405

-1.2651094

-0.73510687

80   

7.000

8.000

45.70

0.8440637

1.9040667

-0.5078705

81   

7.000

9.000

28.74

-1.2063968

0.61275671

-0.22631065

82   

7.000

10.00

41.14

-0.02543028

2.1762823

-0.19389711

83   

7.000

11.00

41.15

0.23706186

1.247203

0.80184154

84   

7.000

12.00

41.97

1.8516107

-0.69483177

0.44661903

85   

8.000

1.000

22.47

0.89375499

-2.0684183

-2.0695958

86   

8.000

2.000

31.51

0.36092429

0.61850906

-1.783052

87   

8.000

3.000

18.70

-0.3155206

-1.8122436

-1.856108

88   

8.000

4.000

30.33

1.1475377

-0.85808273

-1.4991742

89   

8.000

5.000

28.92

-2.0757493

0.29313606

1.9272821

90   

8.000

6.000

24.19

-0.44878834

-1.0029207

-0.66826303

91   

8.000

7.000

29.37

-1.0481053

1.7705799

-0.91424498

92   

8.000

8.000

30.25

-0.23508251

0.046114661

-0.20802593

93   

8.000

9.000

30.09

0.11194816

0.072003947

-1.6758581

94   

8.000

10.00

45.57

1.53038

0.60795133

0.21246429

95   

8.000

11.00

47.63

-0.066689107

2.6378809

1.2860683

96   

8.000

12.00

34.59

0.31946355

0.06667426

0.18582219

97   

9.000

1.000

32.73

0.016434194

1.120289

-1.5833398

98   

9.000

2.000

24.42

-0.27436289

-0.35569352

-2.4107722

99   

9.000

3.000

41.34

-0.33167881

1.7970215

0.66708374

100  

9.000

4.000

27.41

-1.0051945

-1.0597311

0.90406192

101  

9.000

5.000

40.14

1.1698031

-0.31475676

1.1927938

102  

9.000

6.000

35.37

-0.15260414

0.5890811

-0.12122976

103  

9.000

7.000

32.88

0.39790415

0.226064

-1.0860154

104  

9.000

8.000

31.86

-0.99397555

0.37839118

1.2426159

105  

9.000

9.000

36.68

0.60514647

0.21870368

0.39529779

106  

9.000

10.00

39.75

0.38038676

1.0442076

0.52710845

107  

9.000

11.00

19.86

-0.6279772

-0.76972798

-2.2992791

108  

9.000

12.00

40.06

0.71298585

0.2741058

0.9042976

109  

10.00

1.000

31.41

1.2999493

-1.5562403

-0.81970224

110  

10.00

2.000

36.76

0.95105115

-0.57074003

0.27369421

111  

10.00

3.000

36.31

0.18423508

-0.49890249

1.3715545

112  

10.00

4.000

34.86

1.0593732

-1.1086226

0.16742488

113  

10.00

5.000

29.69

0.20725664

-0.97452394

-0.21862994

114  

10.00

6.000

40.34

0.68280927

0.98424903

-1.0406949

115  

10.00

7.000

37.41

0.86089257

0.18902407

-0.37294485

116  

10.00

8.000

29.64

-0.57829525

0.0676673

0.65647224

117  

10.00

9.000

38.68

-0.28186761

0.89744088

1.3027805

118  

10.00

10.00

31.97

-0.47461761

0.17845328

-0.22656672

119  

10.00

11.00

34.33

-0.65640862

0.53919066

0.81824668

120  

10.00

12.00

42.12

0.79630291

0.82257028

0.25929803

121  

11.00

1.000

27.97

-0.41684164

0.016660513

-0.98060402

122  

11.00

2.000

31.90

-1.5492696

0.54283371

1.1928133

123  

11.00

3.000

29.14

0.00979319

-1.7040725

0.70319006

124  

11.00

4.000

34.81

-1.256335

1.6546652

0.25895591

125  

11.00

5.000

32.74

0.92027007

-0.46202037

-0.85509676

126  

11.00

6.000

19.82

-0.59037533

-1.4183456

-1.5460562

127  

11.00

7.000

35.83

0.83130821

0.037347192

-0.061169526

128  

11.00

8.000

25.52

0.13861841

-0.85709032

-0.8602075

129  

11.00

9.000

39.44

1.0393106

0.76684887

-0.40945285

130  

11.00

10.00

36.67

-1.2309828

0.93522473

1.3494658

131  

11.00

11.00

29.23

0.36996386

-1.9733209

0.94274694

132  

11.00

12.00

38.36

1.2058382

-0.096968892

0.22226584

133  

12.00

1.000

24.64

-0.87931636

-0.14813472

-1.1633247

134  

12.00

2.000

42.28

1.0970364

0.34811276

0.61075731

135  

12.00

3.000

26.80

-1.8882645

1.0514071

-0.79732811

136  

12.00

4.000

23.91

-2.4405511

-0.09486991

0.78129999

137  

12.00

5.000

31.16

-0.47675756

0.54698601

-0.1888675

138  

12.00

6.000

28.14

-1.0937208

0.24683487

-0.20713318

139  

12.00

7.000

38.75

0.55119739

-0.70393717

1.4034942

140  

12.00

8.000

40.21

0.77347997

0.36165767

0.15835377

141  

12.00

9.000

42.45

0.27020015

2.0851757

-0.017416605

142  

12.00

10.00

38.51

1.3379706

-0.38802736

-0.30175347

143  

12.00

11.00

29.28

-1.1822232

1.554922

-1.4787003

144  

12.00

12.00

26.53

0.089458334

-0.90512389

-1.4039387