Tamás Dusek: A területi elemzések alapjai (The foundations of spatial analysis). ELTE, Budapest, 2004

Contents

 

 

Introduction

7

1.

The main questions of the research of social space

13

1.1.

The impossibility of a general space concept

13

1.2.

The material elements of social space

15

1.3.

The natural and social space as frame

18

1.4.

The reason of research of social space and its place in the system of sciences

21

1.5.

Methodological concept of regional science

25

1.6.

The relation of general epistemology and the epistemology of spatial researches

30

1.7.

Methodological monism and pluralism in the epistemology of geography

36

2.

The ways of spatial research of society

41

2.1.

The types of spatial analysis and  the role of ends and means

41

2.2.

Empirical space and geometrical space

42

2.3.

Historical and theoretical analysis of social space

45

2.4.

Qualitative and quantitative analysis, general issues

50

2.5.

Qualitative and quantitative analysis in historical research

53

2.6.

Qualitative and quantitative analysis in theoretical research

54

3.

Spatial division

63

3.1.

Necessity and purpose of spatial division

63

3.2.

Two levels of the area delimitation problem

66

3.3.

Similarities and differences between spatial division and classification

68

3.4.

Natural and artificial, general and specific spatial division

70

3.5.

General principles of classification and spatial division

73

3.6.

Practical principles of spatial division

76

3.7.

The basic spatial unit

80

3.8.

Single-region and multi-region analysis, single and comparative studies

83

3.9.

The spatial levels and the spatial units of analysis and the comparability problem

86

3.10.

The areal units of empirical spatial analyses

89

4.

The types of the spatial data

93

4.1.

The types of the statistical data  from spatial point of view

93

4.2.

The localization of social and economical data

98

4.3.

The types of spatial elements and the spatial parameter data

100

4.4.

The types of the spatial data from spatial point of view

102

4.5.

The types of the spatial data from the point of view of the observational units

106

5.
The statistical problems of spatial analysis
109

5.1.

Problems concerning the spatial characters of data

109

5.2.

Problems concerning the spatially aggregated character of data

115

6.

Ecological fallacy

122

6.1.

Individual behaviour and aggregated data: the essence of the problem

122

6.2.

Robinson’s contribution to the ecological fallacy

126

6.3.

The intrepretations of the ecological correlations

128

6.4.

The statistical methods  of the inference from aggregated data to individual data

131

6.5.

The empirical significance of the ecological fallacy

135

7.

The modifiable areal unit problem

137

7.1.

The importance of the problem

137

7.2.

The effect on correlation and linear regression

139

7.3.

The effect on the multivariat statistical analysis

145

7.4.

The effect on the location-allocation modeling

146

7.5.

The effect on  the macroeconomic theories

149

7.6.

The proposals for practical managing of the problems

154

8.

Spatial analysis in economic theory

158

8.1.

The spatiality and the domain of theories

158

8.2.

About the space concepts of economics

160

8.3.

The main questions of computing spatial price levels

164

8.4.

The goods and price differentiating effect of space and the interlocal exchange ratio of the technologically identical goods

166

8.5.

The transfer cost of money and the uniformity of the spatial purchasing power of money

170

8.6.

The spatial problems of the purchasing power parity doctrine

175

8.7.

The spatial problems of the optimal currency areas doctrine

178

9.

The spatial moving average

188

9.1.

The purpose of spatial moving average

188

9.2.

Types  of spatial moving average

189

9.3.

Comparison of temporal and spatial moving average

190

9.4.

The bandwidth of spatial moving average

191

9.5.

Further features of the method

193

9.6.

The application of the method

194

9.7.

The generalization of the method: local statistics

197

10.

Methods of analysis using spatial parameter data

199

10.1.

The main questions of analysis methods using spatial parameter data

199

10.2.

The spatial autocorrelation

200

10.3.

The neighbourhood matrix

204

10.4.

Two indexes of spatial autocorrelation

207

10.5.

Spatial autocorrelation in the case of square cells

208

10.6.

Spatial autocorrelation in the case of Hungarian county system

210

10.7.

The distribution of indexes

213

10.8.

Spatial autocorrelation of incomes in Hungary

215

 

Summary

221

 

References

222

 

Contents in English

237

 

Summary in English

240