https://github.com/shimat/sapporo_population

Streamlit study: visualizing the population of each Sapporo area
https://github.com/shimat/sapporo_population

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Streamlit study: visualizing the population of each Sapporo area

• Host: GitHub
• URL: https://github.com/shimat/sapporo_population
• Owner: shimat
• Created: 2021-05-16T14:57:31.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-05-20T15:31:41.000Z (over 3 years ago)
• Last Synced: 2024-10-19T18:01:46.409Z (20 days ago)
• Language: Python
• Size: 318 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# sapporo_population

[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/shimat/sapporo_population/main/main.py)

Streamlit study: visualizing the population of each Sapporo area

## Reference Source

- https://ckan.pf-sapporo.jp/dataset/juuki_8/resource/17075eca-d5f3-4f2c-9fd7-89c155a63fa0

  - DATA-SMART CITY SAPPORO 町名・条丁目別世帯数及び男女別人口 令和3年（2021年）4月1日現在

- https://ckan.pf-sapporo.jp/dataset/juuki_9/resource/51f660d2-1373-47ab-ad8b-834d75a4be2f

  - DATA-SMART CITY SAPPORO 町名、条丁目別年齢（5歳階級）別人口 令和２年（2020年）10月1日現在

- https://geoshape.ex.nii.ac.jp/ka/ https://www.e-stat.go.jp/terms-of-use

  - 『国勢調査町丁・字等別境界データセット』（CODH作成） 「平成27年国勢調査町丁・字等別境界データ」（NICT加工）

  - https://github.com/shimat/geodata

### TopoJSON -> GeoJSON

https://github.com/topojson/topojson-client/blob/master/README.md#topo2geo

```sh

sudo npm install -g topojson-client

topo2geo town < 清田区.topojson

mv town 清田区_geo.json

```

## Installation

### geopandas (Windows)

https://towardsdatascience.com/geopandas-installation-the-easy-way-for-windows-31a666b3610f

```sh

pip install .\GDAL-3.2.3-cp39-cp39-win_amd64.whl

pip install .\pyproj-3.0.1-cp39-cp39-win_amd64.whl

pip install .\Fiona-1.8.19-cp39-cp39-win_amd64.whl

pip install .\Shapely-1.7.1-cp39-cp39-win_amd64.whl

pip install .\geopandas-0.9.0-py3-none-any.whl

```

### geopandas (Streamlit deployment environment)

https://discuss.streamlit.io/t/shared-streamlit-with-geopandas/7277/7

requirements.txt

```

streamlit

fiona

geopandas

```

packages.txt

```

gdal-bin

python-rtree

```