Conducted ecosystem analysis using web scraped geosocial data on Hansaviertel, Ruhrort, and Unionviertel, exploring its suitability for neighborhood ecosystem research.
This repository contains the methodological section of my Master's thesis, focusing on the process and techniques used for ecosystem analysis in the context of urban neighborhoods.
The primary objective of this work is to explore the viability of utilizing web scraping and geosocial data in conducting ecosystem analysis. The study centers around three case studies: Hansaviertel, Ruhrort, and Unionviertel.
- Data Collection: Details on the web scraping process and data sources.
- Data Processing: Explanation of data preprocessing steps and transformations.
- Analysis Techniques: Description of the methodologies employed for ecosystem analysis.
- Results and Insights: Insights and findings related to the use of geosocial data for neighborhood ecosystem research.
data/: Contains datasets and raw data used in the analysis.code/: Includes code scripts used for web scraping, data processing, and analysis.results/: Contains summarized results, visualizations, and insights.
To explore the methodology and techniques employed in this study, refer to the sections above and the corresponding code scripts in the code/ directory.
I would like to acknowledge Faculty of Spatial Planning of the TU Dortmund for their support and guidance throughout the Master's thesis research.
For inquiries or further information, please feel free to contact me at [sinatmertens@gmail.com].
Note: This repository serves as the methodological section of my Master's thesis. For the full thesis and additional details, please refer to the complete document.