Recommended citation:
Nesterenko S., Musiienko K. Methods of neural network modeling and artificial intelligence in the development and operation of municipal geographic information systems. Monograph. – Primedia eLaunch, Boston, USA, 2025. – 126 p.
TABLE OF CONTENTS
| INTRODUCTION | 9 |
| 1 ELEMENTS OF THE URBAN MANAGEMENT GEOGRAPHIC INFORMATION SYSTEM. FORMATION OF THE GEODATA BASE | 12 |
| 1.1 Directions of Urban Management Geographic Information Systems | 12 |
| 1.2 Fundamentals of Urban Management Spatial Data | 15 |
| 1.3 Geodata in Urban Management | 26 |
| 1.4 Integration of Different Data Types into the Urban GIS | 29 |
| 1.5 Creation and Management of Geodata Databases for Urban Management | 34 |
| 1.6 Metadata and Their Role in Geodata Management | 41 |
| 2 MODELING OF URBAN MANAGEMENT OBJECTS | 48 |
| 2.1 Modeling Spatial Objects in the Urban Environment | 48 |
| 2.2 Digital Elevation Models and Surface Models for Urban Planning | 54 |
| 2.3 Modeling of Transport Networks and Communications | 58 |
| 2.4 Modeling of Utility Networks | 63 |
| 2.5 Geoinformation Monitoring of the Urban Environment | 69 |
| 2.6 GIS for Urban Development Management. | 73 |
| 3 APPLIED ASPECTS OF USING GEOGRAPHIC | |
| INFORMATION TECHNOLOGY TOOLS FOR SOLVING URBAN MANAGEMENT TASKS | 77 |
| 3.1 Application of GIS in Urban Planning and Design | 77 |
| 3.2 GIS for Environmental Monitoring in Urban Conditions | 80 |
| 3.3 Spatial Analysis for Optimization of Urban Infrastructure | 84 |
| 3.4 Innovative Technologies in GIS for Urban Management | 89 |
| 4. METHODS OF ARTIFICIAL INTELLIGENCE AND NEURAL NETWORK MODELING IN MUNICIPAL GIS | 93 |
| 4.1 Theoretical Foundations of Neural Networks and Artificial Intelligence | 93 |
| 4.2 Use of AI in Spatial Data Processing | 97 |
| 4.3 Neural Network Forecasting of Changes in the Urban Environment | 102 |
| 4.4 Integration of AI into Municipal GIS: Architectural and System Solutions | 107 |
| CONCLUSIONS | 112 |
| REFERENCES | 117 |
| APPENDICES | 125 |