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Selecting Spatial Regimes by Threshold Analysis

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Part of the book series: Advances in Geographic Information Science ((AGIS,volume 1))

Abstract

The existence of differential spatial regimes has been revealed on different occasions (see for instance Arbia and Paelinck, 2003a, b; also see Chap. 14). Hence the necessity exists for developing workable specifications to compute possible frontiers or thresholds between those regimes.

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References

  • Arbia, G., Paelinck, J.H.P. 2003a. Spatial econometric modeling of regional convergence in continuous time, International Regional Science Review, 26(3): 342–362.

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Corresponding author

Correspondence to Daniel A. Griffith .

Appendix

Appendix

Activity production levels

R\S

1

2

3

4

5

6

7

8

9

10

11

12

1

1700

408

951

649

18

1307

605

104

451

294

3691

1067

2

1507

481

1051

418

96

1320

458

159

373

598

515

879

3

1085

316

814

245

33

1031

396

95

293

335

625

664

4

3644

981

2273

818

39

2505

889

187

657

599

99

1663

5

345

129

570

93

2

609

138

45

212

352

0

294

6

5399

1519

4316

1310

291

5034

1631

397

1451

922

29

3318

7

2491

890

3473

1127

473

4138

1202

281

1211

274

4

2032

8

6928

1864

7454

4423

502

8594

2346

957

2154

834

84

4483

9

12,323

2846

8782

5058

881

10,947

2930

830

2914

2121

182

6547

10

1841

301

802

408

9

770

264

64

239

244

0

594

11

10,093

2040

5866

1814

178

6842

1815

496

1481

1119

46

3411

12

4225

786

2308

960

177

2729

1100

237

726

580

5

1632

  1. Source: CBS, StatLine; numbers relate to 1993 and are expressed in 106 EUROS

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Griffith, D.A., Paelinck, J.H. (2011). Selecting Spatial Regimes by Threshold Analysis. In: Non-standard Spatial Statistics and Spatial Econometrics. Advances in Geographic Information Science, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16043-1_12

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