Jerusalem: locating the colonies and neighborhoods

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. For example, neighborhoods founded at later dates may reflect different cultural, social, or economic forces than those founded earlier. This can help to contextualize the events and trends that shaped the city over time.

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

• 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