https://github.com/ajay-sheokand/crime_analysis
Crime prediction analysis in the city of WestMinster
https://github.com/ajay-sheokand/crime_analysis
crime-analysis crime-prediction crime-statistics machine-learning machine-learning-algorithms r shapefile spatial-analysis spatial-data
Last synced: 6 months ago
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Crime prediction analysis in the city of WestMinster
- Host: GitHub
- URL: https://github.com/ajay-sheokand/crime_analysis
- Owner: ajay-sheokand
- Created: 2025-03-11T12:05:57.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-11T12:26:46.000Z (7 months ago)
- Last Synced: 2025-03-11T13:23:30.207Z (7 months ago)
- Topics: crime-analysis, crime-prediction, crime-statistics, machine-learning, machine-learning-algorithms, r, shapefile, spatial-analysis, spatial-data
- Language: R
- Homepage: https://ajay-sheokand.shinyapps.io/Crime_Prediction_Westminster/
- Size: 2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
This code makes and R shniy app, in which it visualises the crimes in the city of westminster from 2022-01 to 2024-10. In this, all the crimes are represented in a heatmap according to the top 10 crimes in the city.
Once the crime is selected by the user, it will display a historical bar graph, of year by year data, and the crimes in the city from the above time period, moreover, it will generate a second map in which the code uses ST-DBSCAN to represent
crimes and it incorporates the spatial and temporal the features to represent the predictions in this region.
The data was downloaded from: https://data.police.uk/data/
The shapefiles were also downloaded from the same website for the jurisdiction boundaries.
The application is also hosted on: shinyapps.io
The link for the app is: https://ajay-sheokand.shinyapps.io/Crime_Prediction_Westminster/