Jerusalem: locating the colonies and neighborhoods

Introduction

The goal of this project is to study the construction of neighborhoods in Jerusalem over time. We collect information about Jerusalem neighborhoods from three different sources, including the book Jerusalem and its Environs, the Wikipedia category Neighbourhoods of Jerusalem, and the Wikipedia list Places of Jerusalem - Neighborhoods. These three sources provide us with different information with different focuses. We merge this content through fuzzy matching and present it on a web page. The page organizes and visualizes all the information. With the timeline, search, and view details features, users can get a clear picture of the Jerusalem community in our map interface. At the same time, the fuzzy matching approach we use can be easily applied to other cities with multiple sources of information (similar, different, or even contradictory), with the potential for reuse in the future.

Motivation

The study of the geography and chronology of neighborhoods in Jerusalem can provide valuable insights into the city's past and present. The location of a neighborhood can often reflect the social, economic, and political forces that shaped it, as well as the cultural traditions and values of its residents.

Examining the founding year of a neighborhood can also provide insight into the city's history and development. Visualizing the location and founded year of neighborhoods in Jerusalem can be a powerful tool for understanding the city's past and present. By mapping and analyzing these data, it is possible to gain a deeper understanding of the cultural, social, and economic dynamics of different neighborhoods and the forces that have shaped them.

Deliverables

• OCR results of Development of Jerusalem neighborhoods information from Jerusalem and its Environs
• Database intergrated, book(notes, f y), coord, wiki link
• Integrated database with multiple information sources,
  • Providing
• An interactive and user-friendly webpage showing the changes in neighborhoods of Jerusalem with time, with:
  • A timeline feature that illustrates the evolution of the construction of neighborhoods in Jerusalem over time.
  • A search function that enables users to search for neighborhoods by name.
  • Each neighborhood can have a dedicated sub-page containing relevant information.

Project Plan and Milestones

Date	Task	Completion
By Week 3	Brainstorm project ideas. Prepare slides for initial project idea presentation.	✓
By Week 4	Organize the Jerusalem neighborhood information from the book into csv files by OCR. Conduct manual review and adjust formats.	✓
By Week 5	Get neighborhood information on Wikipedia through crawlers, including names, links, and coordinates.	✓
By Week 6	Merge the data get from wikipedia different website. Extract the same neighborhoods in both book and wikipedia.	✓
By Week 7	Start working on webpages. Decide to use GitHub pages and bootstrap as our output methods and learn the basic concepts.	✓
By Week 8	Use fuzzy matching method to link information from the book and Wikipedia. Work on webpage: use leaflet to present maps.	✓
By Week 9	Transfer data into usable format for HTML. Combine the front-end webpage and back-end data. Create our first demo webpage.	✓
By Week 10	Fill in information on wiki. Get prepared for the midterm presentation.	✓
By Week 11	Get neighborhood information on Wikidata through crawlers, including names, links, and establish time. Merge the information from Wikidata to existing data. Find out a way to deal with duplicated data and extract results from fuzzy matching.
By Week 12	Find neighborhoods with area shapes and find out a way to visualize. Create searching function on the website. Adding information and adjust the website.
By Week 13	Create another page to list the information on the website. Create Github Pages for our webpage.
By Week 14	Complete the wiki on motivation, methods, results... Refine the visualization of our webpage
By Week 15	Final presentation

Github Repository

https://github.com/WayerLiu/fdh_jerusalem.github.io