Multiple Spatial Outliers (I)

Data used in section 4.1

 

 

Number

Horizontal coordinate

Vertical coordinate

y

x1

x2

x3

1    

1.000

1.000

85.75

0.38397968

1.2387044

0.32361734

2    

1.000

2.000

75.86

-0.016762357

0.84360476

-1.0479674

3    

1.000

3.000

81.17

-0.29559342

0.33260586

1.4518471

4    

1.000

4.000

81.87

0.12739859

0.45952867

1.0946555

5    

1.000

5.000

64.34

-0.013330932

0.081095815

-1.3455453

6    

1.000

6.000

62.12

-0.71386395

-0.15183061

-0.80557934

7    

1.000

7.000

75.68

0.83560334

0.69845285

-1.5633297

8    

1.000

8.000

59.00

-2.5391627

0.64889691

0.26921602

9    

1.000

9.000

86.30

0.69105576

0.55038757

1.5349359

10   

1.000

10.00

66.09

0.92460694

-0.35167492

-2.149802

11   

1.000

11.00

62.17

-0.58068782

-0.83860774

-0.11156708

12   

1.000

12.00

74.14

1.5066607

-1.690799

0.016572426

13   

2.000

1.000

74.60

-0.29261858

-1.0057076

1.6777135

14   

2.000

2.000

75.08

-0.69667846

0.43615834

0.067620132

15   

2.000

3.000

87.38

0.59435038

1.0906486

0.12153949

16   

2.000

4.000

86.57

0.35737496

0.56268018

1.299854

17   

2.000

5.000

69.27

0.48827178

-0.46710064

-0.3996021

18   

2.000

6.000

70.63

1.3568429

-0.81559779

-1.1735666

19   

2.000

7.000

73.19

1.6530149

-1.7769876

0.090757284

20   

2.000

8.000

56.92

-0.35440272

-2.1497493

-0.092426688

21   

2.000

9.000

80.06

0.39905726

0.9467243

-0.13914482

22   

2.000

10.00

78.30

0.16200289

0.12129321

1.1107361

23   

2.000

11.00

85.85

1.8552051

-0.2383815

0.64135233

24   

2.000

12.00

84.85

1.013008

1.7515588

-0.65402192

25   

3.000

1.000

90.22

1.2672365

0.94614398

0.2523853

26   

3.000

2.000

96.45

1.4877943

-0.33320947

2.753236

27   

3.000

3.000

71.18

0.55941549

0.12270005

-2.3848677

28   

3.000

4.000

69.00

0.094108737

0.41145629

-2.3109082

29   

3.000

5.000

73.05

0.10441001

-0.7309038

1.4886046

30   

3.000

6.000

79.77

-0.63209206

1.7948634

0.66748152

31   

3.000

7.000

63.51

0.058024258

-0.76131618

-0.89299168

32   

3.000

8.000

67.99

-0.65482587

-0.092218236

0.48084167

33   

3.000

9.000

81.77

0.92486656

0.69941356

0.007114684

34   

3.000

10.00

85.08

0.96955947

1.5553015

-0.29871201

35   

3.000

11.00

72.22

1.1915737

-1.5785265

0.71102118

36   

3.000

12.00

67.63

0.68937566

-0.45459645

-0.76275034

37   

4.000

1.000

93.71

1.4125855

0.85978217

1.0188043

38   

4.000

2.000

62.82

-1.3372888

-0.56654533

-0.36533783

39   

4.000

3.000

65.71

-2.0894852

-0.078191886

1.097764

40   

4.000

4.000

63.46

-0.45028742

-1.4773331

-0.004848402

41   

4.000

5.000

80.52

0.62253914

-0.21630116

1.4915156

42   

4.000

6.000

67.94

-0.17486773

-0.50291647

0.26060209

43   

4.000

7.000

62.59

0.37914691

-0.72631151

-1.7729225

44   

4.000

8.000

76.59

-0.55753551

3.5373609

-2.4360033

45   

4.000

9.000

63.87

-0.18994086

-1.2114011

0.24992507

46   

4.000

10.00

73.27

-0.75582446

0.9000584

0.68698763

47   

4.000

11.00

75.61

0.37745347

1.3165594

-0.85872366

48   

4.000

12.00

53.12

-1.7903744

-0.11977826

-0.65486771

49   

5.000

1.000

75.84

1.6728563

-0.801605

-0.84277496

50   

5.000

2.000

86.04

2.0104694

0.91501761

-1.533525

51   

5.000

3.000

66.50

-0.35160344

-0.42321798

-0.12574159

52   

5.000

4.000

69.84

-0.25600427

-0.73680659

0.76536647

53   

5.000

5.000

70.55

0.98225383

-1.0162346

-0.6594354

54   

5.000

6.000

67.95

0.36364672

-0.99057892

-0.057427803

55   

5.000

7.000

60.37

-1.3292547

-0.33115311

0.11288583

56   

5.000

8.000

72.81

-0.22376151

-0.77707815

1.5829213

57   

5.000

9.000

61.94

0.70742246

-0.24180642

-3.1265035

58   

5.000

10.00

72.85

-0.38668186

0.55216066

0.58406665

59   

5.000

11.00

67.03

-0.13028612

-0.3725503

0.3273445

60   

5.000

12.00

77.73

1.2232444

-0.32815708

0.28350051

61   

6.000

1.000

66.86

0.095506464

-0.30617131

-0.63517571

62   

6.000

2.000

66.61

-1.3378579

1.249511

-0.6793597

63   

6.000

3.000

75.39

0.54903118

0.1972791

-0.155205

64   

6.000

4.000

71.20

-0.1480544

1.0557947

-1.2074004

65   

6.000

5.000

82.01

2.33551

-0.27131582

-0.95479164

66   

6.000

6.000

77.11

0.36443861

0.3589004

0.30392657

67   

6.000

7.000

87.16

0.75278346

1.2806348

0.62451954

68   

6.000

8.000

69.59

1.1628077

-1.5548049

-0.27589694

69   

6.000

9.000

78.96

0.87598008

0.87485269

-0.62482701

70   

6.000

10.00

69.14

-0.5994171

0.59396128

0.2410279

71   

6.000

11.00

68.09

-0.278087

-0.28101084

0.72930918

72   

6.000

12.00

54.90

-1.1367151

-0.6849726

-0.50711005

73   

7.000

1.000

86.33

1.8923489

-0.61924429

1.648335

74   

7.000

2.000

61.44

-1.1986497

0.21598297

-0.20243206

75   

7.000

3.000

93.17

2.8767314

1.2586612

-0.97597114

76   

7.000

4.000

81.33

-0.78069721

2.265519

0.77298931

77   

7.000

5.000

75.29

0.44520196

0.94616584

-1.2672539

78   

7.000

6.000

73.37

-1.1062759

0.68009334

1.3132062

79   

7.000

7.000

57.25

-2.0928007

-0.74761516

0.95004386

80   

7.000

8.000

68.16

0.10136242

0.2707803

-1.0504368

81   

7.000

9.000

65.58

-0.64627275

1.1815413

-1.4239953

82   

7.000

10.00

70.01

-0.32583481

0.16564854

0.44798236

83   

7.000

11.00

51.50

-1.1588507

-0.40974597

-1.6039092

84   

7.000

12.00

63.75

-0.58051358

0.24514036

-0.60154342

85   

8.000

1.000

65.89

0.051600304

-1.7708311

1.2391321

86   

8.000

2.000

82.35

0.76054883

0.77556764

0.86220037

87   

8.000

3.000

75.37

0.21340815

1.4230332

-1.1315931

88   

8.000

4.000

64.91

-0.76735797

0.4740066

-0.57612452

89   

8.000

5.000

83.91

1.4340637

0.70156514

-0.31884136

90   

8.000

6.000

75.94

1.120519

0.006548823

-0.65905915

91   

8.000

7.000

59.86

0.25692106

-1.8741202

-0.56694657

92   

8.000

8.000

70.21

-0.75121908

0.77935765

0.12249689

93   

8.000

9.000

71.26

1.3480305

0.42901489

-2.7431101

94   

8.000

10.00

57.08

-0.017484901

-1.9544819

-0.16254972

95   

8.000

11.00

49.59

-2.1748758

-1.0942939

0.67228908

96   

8.000

12.00

68.90

-1.0003017

1.2459194

-0.11935355

97   

9.000

1.000

59.28

-0.10712946

-1.3195306

-0.68260842

98   

9.000

2.000

71.59

-1.1804248

1.5266707

0.3991384

99   

9.000

3.000

65.93

-0.63531888

0.25037306

-0.4536692

100  

9.000

4.000

67.87

-0.87599115

1.1820703

-0.43736967

101  

9.000

5.000

82.68

1.6515627

-0.22155366

0.42674839

102  

9.000

6.000

54.97

-0.62046789

-2.028343

-0.051447709

103  

9.000

7.000

81.63

0.84332084

0.59360774

0.1083649

104  

9.000

8.000

81.18

0.92600573

0.81013138

0.11168199

105  

9.000

9.000

74.10

-0.078053094

1.1917897

-0.76986953

106  

9.000

10.00

63.61

-1.502379

0.51811782

0.18850142

107  

9.000

11.00

87.67

1.0287736

1.3869351

0.68727609

108  

9.000

12.00

79.86

0.1913109

1.2026097

0.468491

109  

10.00

1.000

72.87

-0.13108294

0.45007854

-0.17979715

110  

10.00

2.000

69.57

-0.79578847

0.74193159

0.013405873

111  

10.00

3.000

80.87

1.0893224

0.36837442

0.08385276

112  

10.00

4.000

67.29

-0.62673215

1.0278677

-0.86106465

113  

10.00

5.000

55.50

-0.27594832

-1.178651

-1.5130905

114  

10.00

6.000

93.53

0.4633713

1.6890991

2.2732256

115  

10.00

7.000

64.05

-0.18684789

-0.23690045

-1.1802322

116  

10.00

8.000

73.15

-0.61055418

1.5200452

-0.34424186

117  

10.00

9.000

75.23

0.89768868

0.13782662

-0.91698748

118  

10.00

10.00

61.44

-0.19408316

0.04147491

-1.9015171

119  

10.00

11.00

77.29

0.96655414

-0.44399803

0.58163789

120  

10.00

12.00

68.78

-1.1396467

1.2600277

-0.36698948

121  

11.00

1.000

57.12

-0.50862511

-1.7518907

-0.11639302

122  

11.00

2.000

73.09

0.91732482

-0.27175592

-0.26693393

123  

11.00

3.000

88.70

2.7830331

-0.34164368

0.40093459

124  

11.00

4.000

71.75

0.50422505

-0.15857449

0.13424945

125  

11.00

5.000

64.30

-0.56904782

-0.30700969

0.28887052

126  

11.00

6.000

84.25

2.151733

0.15593813

-0.44430733

127  

11.00

7.000

76.78

0.18800786

1.2503776

-0.62225254

128  

11.00

8.000

66.20

-0.90761771

-1.3933504

2.2478986

129  

11.00

9.000

89.68

0.8705258

1.245286

1.3672409

130  

11.00

10.00

69.41

-0.9090777

0.15463985

1.0820642

131  

11.00

11.00

56.92

-0.56385087

-1.6075892

-0.34122042

132  

11.00

12.00

66.38

0.35114955

-1.1783864

-0.26872063

133  

12.00

1.000

73.33

0.31106394

-0.4007993

0.52839344

134  

12.00

2.000

82.19

1.261822

0.14147797

0.59286814

135  

12.00

3.000

67.45

-0.52653005

0.37039115

-0.086999215

136  

12.00

4.000

59.44

-0.87452895

-0.71476948

0.24254357

137  

12.00

5.000

68.38

0.60894355

0.11766586

-1.2265223

138  

12.00

6.000

66.29

-1.5311719

-0.3930872

2.1090025

139  

12.00

7.000

75.40

0.93059411

0.39217083

-1.218899

140  

12.00

8.000

71.51

0.69588992

-0.60466677

-0.18457714

141  

12.00

9.000

55.47

-1.9503402

-0.44512199

0.061480658

142  

12.00

10.00

69.17

0.40330681

0.64443012

-1.9113966

143  

12.00

11.00

61.74

0.066860486

-1.1898867

-0.87311406

144  

12.00

12.00

80.61

2.1218018

-0.6971528

-0.45201283