Functional classification of space: aspects of site suitability assessment in a decision support environment
Saved in:
| Main Author: | |
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| Format: | Thesis Book |
| Language: | English |
| Published: |
1990
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XVII, 309 S. Ill., graph. Darst. |
Staff View
MARC
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Record in the Search Index
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|---|---|
| adam_text | Contents
Foreword v
Preface and Acknowledgments vii
Motto xvii
Introduction 1
1 A Relational Approach to Spatial Choice Modeling 9
1.1 Introduction: spatial choice and decision making 9
1.2 Constraints versus preference 11
1.2.1 Utility and spatial choice 13
1.2.1.1 Attributes and their categories 14
1.2.1.2 Problems with preference 17
1.2.2 An alternative based on functionality 19
1.2.2.1 Taxonomic versus functional classification . . 20
1.3 A two-stage model of spatial decision making 22
1.4 Functional concepts and relational matching 25
1.4.1 INUS conditionality and relational definitions 27
1.4.2 Representing relational definitions 28
1.5 Choice behavior and decision making 30
1.6 Research questions and objectives 31
2 Site Suitability in Location Theory 35
2.1 Location theory and spatial planning 36
2.1.1 Behavioral location theory 38
2.1.2 Functional location theory 39
2.1.3 Functional location theory: implications for
model building 42
xi
xii Functional Classification of Space
2.2 The concept of production milieu: definition and measurement 43
2.2.1 The R.E.B. approach toward production milieu .... 44
2.2.2 The production milieu matrix method 47
2.2.3 R.E.B. methodology and production milieu matrix:
conclusions 51
2.3 The concept of regional indigenous potential 51
2.4 Regional potential and production milieu: a closer look ... 54
2.4.1 Regional potential and production milieu:
some conclusions 56
2.5 Production milieu as a choice set 57
2.5.1 Rawstron s three restriction principles 58
2.5.2 Feasibility studies: the matching approach
to site suitability 61
2.5.2.1 The Standortfaktoren catalog of Schilling . 61
2.5.2.2 Evaluating the matching approach: advantages 62
2.5.2.3 Evaluating the matching approach: problems . 69
2.5.3 Intermezzo: automating the matching process 75
2.5.4 Computer-based matching: Cullen s proposal 77
2.5.5 Studying individual firms 78
2.6 Conclusion: toward a relational matching model 80
3 Relational Inference Trees 83
3.1 Introduction 83
3.2 Relational definitions as inference trees 84
3.2.1 Formal properties of a relational inference tree .... 87
3.2.2 Dimensions 88
3.2.3 Internally related variables 92
3.2.4 Internally related dimensions 93
3.2.5 Dimensions: additivity and the partitioning problem . 95
3.3 Relational inference trees versus decision plan nets 97
3.4 Model content: formal evaluation procedures 99
3.4.1 Completeness and consistency 101
3.4.2 Optimization 103
3.4.2.1 Optimizing with information entropy: ID3 . . 104
3.4.2.2 Pitfalls: inconsistency and incompleteness . . 107
3.4.2.3 Single-action rule sets 108
3.4.2.4 ID3: conclusion 109
3.5 Actor attributes and requirements in the inference tree:
some critical remarks Ill
Contents xiii
3.5.1 The redundancy problem Ill
3.5.2 The modeling problem 112
3.6 Modeling demands generated by objects 114
3.7 Two-way matching 117
3.8 Model content: empirical procedures 120
3.8.1 Knowing the objects 120
3.8.2 Knowing the actors 122
3.8.3 The problem of generalization 123
3.9 Knowing the inference tree:
techniques of knowledge acquisition 125
3.9.1 Inducing inference trees: efficiency versus
understandability 127
3.9.2 Validating the model 128
3.10 Multiple matching solutions 130
3.11 Multi-locational actors 132
3.12 Conclusions 134
4 Implementation 135
4.1 Structure of the matching system 135
4.2 Frames for representing facts and rules 139
4.3 Find-deduce-inherit-ask inference 143
4.4 A Prolog implementation 145
4.4.1 Frames and inference in Prolog 146
4.4.2 Inference trees and matching rules in Prolog 150
4.4.3 The matching program 152
4.4.4 Explanation 155
4.5 Implementing generalization 156
4.6 Conclusion 158
5 Decision Support Systems and the REPLACE System 161
5.1 Introduction: model use and decision support 162
5.2 Decision Support Systems: an overview 164
5.2.1 Why: ill-structured problems 165
5.2.1.1 Well-defined, ill-structured, and functional
equivalence 166
5.2.2 What: constraints and pre-defined goal states 168
5.2.3 How: data bases, models, user-interaction 169
5.3 Intermezzo: expert systems (ESs), DSSs, and spatial planning 171
5.4 Decision support in planning a regional economy 173
xjv Functional Classification of Space
5.5 Model integration 178
5.6 The Shanxi Province DSS 179
5.6.1 Shanxi Province: geography and development 179
5.6.2 Shanxi Province: the problem 184
5.6.3 Overview of the DSS 188
5.6.4 REPLACE: RElational Plant Location and
Acquisition Enquiry 192
5.7 REPLACE: functions, implementation and looks 192
5.7.1 Main menu 197
5.7.2 Run the matching model 199
5.7.2.1 Explain matching results 200
5.7.3 Select the activity 202
5.7.4 Select set of counties 204
5.7.5 Select the dimensions 205
5.7.6 Edit current activity 205
5.7.6.1 Dynamic editing of activity attributes 206
5.7.6.2 Select/deselect don t care values 209
5.7.7 Edit county data base 210
5.7.8 Set decision attributes 211
5.7.9 REPLACE data-analysis module: a dedicated GIS . . 213
5.7.9.1 Reclassify the attribute 215
5.7.9.2 Compute Bi-variate statistics 217
5.8 Conclusion 219
6 Examples and Applications 221
6.1 Introduction: REPLACE in the Shanxi Province case study . 221
6.2 Data problems 223
6.3 Generating production milieu maps 230
6.3.1 Pattern interpretation and inductive knowledge
acquisition 232
6.3.2 Iterative model building: aluminum industry 234
6.4 Matching with demands by locations 238
6.5 Modeling agglomeration economies by means of linkages . . . 241
6.6 Complex matching and don t care values: an example .... 244
6.7 Implementing a two-step choice process:
PDA, PDAS and REPLACE 247
6.8 Implementing a two-step choice process:
REPLACE-DISCRET 249
6.8.1 Exporting attributes to the evaluation model 250
Contents xv
6.8.1.1 A measure of the robustness of matching
solutions 252
6.9 Conclusion: Relational complexity
and relational model building 253
7 Conclusions and Discussion 255
7.1 Relational modeling in a two-step process
of choice modeling 255
7.2 Relational modeling by means of inference trees 257
7.3 Matching with dimensions 258
7.4 Relational modeling: explanation versus decision support . . 259
7.5 Building real-world applications: accepting complexity .... 261
References 265
Appendix 1: Some remarks on INUS conditionality 287
Appendix 2: Translations of the Schilling Catalog (Table 2.1) 291
Appendix 3: The Prolog programming language 295
Appendix 4: Hardware and software 301
Summary 303
Curriculum Vitae 309
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| language | English |
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| physical | XVII, 309 S. Ill., graph. Darst. |
| publishDate | 1990 |
| publishDateSearch | 1990 |
| publishDateSort | 1990 |
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| spelling | Reitsma, Reindert Franciscus Verfasser aut Functional classification of space aspects of site suitability assessment in a decision support environment Reindert Franciscus Reitsma 1990 XVII, 309 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Nijmegen, Kathol. Univ., Diss., 1990 Landschaftsbewertung (DE-588)4034346-7 gnd rswk-swf Standorttheorie (DE-588)4121720-2 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Landschaftsbewertung (DE-588)4034346-7 s Standorttheorie (DE-588)4121720-2 s 1\p DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=019633260&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Reitsma, Reindert Franciscus Functional classification of space aspects of site suitability assessment in a decision support environment Landschaftsbewertung (DE-588)4034346-7 gnd Standorttheorie (DE-588)4121720-2 gnd |
| subject_GND | (DE-588)4034346-7 (DE-588)4121720-2 (DE-588)4113937-9 |
| title | Functional classification of space aspects of site suitability assessment in a decision support environment |
| title_auth | Functional classification of space aspects of site suitability assessment in a decision support environment |
| title_exact_search | Functional classification of space aspects of site suitability assessment in a decision support environment |
| title_full | Functional classification of space aspects of site suitability assessment in a decision support environment Reindert Franciscus Reitsma |
| title_fullStr | Functional classification of space aspects of site suitability assessment in a decision support environment Reindert Franciscus Reitsma |
| title_full_unstemmed | Functional classification of space aspects of site suitability assessment in a decision support environment Reindert Franciscus Reitsma |
| title_short | Functional classification of space |
| title_sort | functional classification of space aspects of site suitability assessment in a decision support environment |
| title_sub | aspects of site suitability assessment in a decision support environment |
| topic | Landschaftsbewertung (DE-588)4034346-7 gnd Standorttheorie (DE-588)4121720-2 gnd |
| topic_facet | Landschaftsbewertung Standorttheorie Hochschulschrift |
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