Revisiting the Past Population

During a previous discussion, we brought up the idea of how some datas are being omitted when people draw maps. I find this idea particularly interesting, so decided to make a conceptual piece for the map and public data assignment. How would the population map look like if we include the datas of the dead. Some of the sources I came across that are relevant are:

The informations seem to share similar chunk of data sets. Both has limited living capacity. Both has ownership issue to consider. Both has choice of living alone or with other people. Both has cost of living that are highly dependent on their location, floor level, environment, facility, management of their unit. For example, the lower you “live”, the more expensive it is.

With that realization, I dive right into prototyping with Mapbox. To map out the different listings, I need to scrape the address of housing, apartment, and columbarium from the website listed above. I encountered some error along the way and decided to scale it down by manually inputting them into spreadsheet. I decided to focus my data visualization on Taipei since it is the capital of Taiwan.

Of course, the address I have could not work with Mapbox since it does not know how to calculate the coordinate system. I converted them to latitude, longitude and make them a geojson object. When the data is ready, I created two map styles – one for the living and one for the dead.

Each map highlights their corresponding listings. One could learn more by clicking through the points. The center bounding box wish to highlight the ratio of the population within that area.

Question with Genevieve:
1. scraping value returned undefined even when console is successful
2. shape layer exports all in instead of one singular city in
3. what is the process? addSource, addLayer, filter

Reference and Resources:
Data source – urns tower, bureal, cementery database

Data source – rent statistics

Columbarium price:

Convert landmark to lat long coordinate:

Getting simple geojson to start with map points

Getting countries shapes

Fast way to check the view you want

Find if the place is within boundaries