Commercial centers using POI

Checkout https://aakashjhawar.github.io/commercial-centers-using-POI/

Identify commercial centers using Points of Interest (POI) data by clustering these points into commercial centers/markets.

Getting Started

How to use

git clone git@github.com:aakashjhawar/commercial-centers-using-POI.git
cd commercial-centers-using-POI
pip3 install -r requirements.txt
jupyter notebook

Start the jupyter server. The following should be executed in order.

• gather-data.ipynb
• DBSCAN-remove-noise.ipynb
• create-clusters.ipynb

---

1. gather-data.ipynb

It uses Overpy (Python wrapper for Overpass) to gather all the nodes of a particular location and stores the data into a csv. It also cleans the dataset based on amenities.

2. DBSCAN-remove-noise.ipynb

It removes the noise/outliers present in the dataset. It also gives the number of clusters that can be formed from the dataset.

3. create-clusters.ipynb

It uses KMeans Clustering to create clusters and plot them on Google Map using gmplot library.

Check out the Github repo page