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Introduction:

Spatio-temporal data analysis plays a crucial role in urban planning by providing valuable insights into how cities evolve over time. By analyzing data on the spatial and temporal dimensions of urban areas, planners can make more informed decisions about infrastructure development, transportation systems, land use patterns, and environmental sustainability. This thesis aims to explore the use of spatio-temporal data analysis techniques in urban planning, with a focus on understanding the dynamics of urban growth and development.

Table of Contents:

Chapter 1: Introduction
1.1 Background
1.2 Objectives of Study
1.3 Limitations of Study
1.4 Scope of Study

Chapter 2: Literature Review
2.1 Overview of Urban Planning and Spatio-Temporal Data Analysis
2.2 Applications of Spatio-Temporal Data Analysis in Urban Planning
2.3 Challenges and Opportunities in Using Spatio-Temporal Data for Urban Planning

Chapter 3: Research Methodology
3.1 Data Collection and Processing
3.2 Spatial Analysis Techniques
3.3 Temporal Analysis Techniques
3.4 Integration of Spatio-Temporal Data for Urban Planning

Chapter 4: Discussion of Findings
4.1 Analysis of Urban Growth Patterns
4.2 Implications for Urban Planning Strategies
4.3 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Conclusions
5.3 Implications for Urban Planning Practice

Thesis Overview:

Urban planning is a complex and dynamic field that requires a deep understanding of the spatial and temporal dimensions of cities. Spatio-temporal data analysis provides a powerful tool for planners to gain insights into the patterns and trends that shape urban areas over time. This thesis explores the use of spatio-temporal data analysis techniques in urban planning, focusing on the analysis of urban growth patterns, implications for planning strategies, and recommendations for future research. By integrating spatial and temporal data, planners can make more informed decisions about the development and sustainability of cities.

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