This repository accompanies the blog post on Voronoi diagrams and their applications in data analysis. You can read the full blog post here.
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Voronoi diagrams are powerful tools in data analysis, offering insights into spatial relationships and distributions. This repository includes a KNIME workflow for calculating service areas of train stations in Tokyo and analyzing restaurant density. By leveraging Voronoi diagrams, we can identify key insights, such as Ueno-okachimachi station having the highest restaurant density in Tokyo Prefecture.
To get started with the KNIME workflow, follow these steps:
- Clone the repository:
git clone https://github.com/martinjurran/KNIME-Tokyo-StationServiceAreas.git
cd KNIME-Tokyo-RestaurantDensity
- Install KNIME: Download and install KNIME from the official website. Open the workflow:
- Launch KNIME. Open the voronoi_diagrams.knwf file from the cloned repository.
- Open the workflow: Follow the instructions within the KNIME interface.
- Connect data sources: Connect the data sources within KNIME. They need to be connected within the Geofile Reader nodes.
- Execute the workflow: Execute the workflow and analyze the data.