Implementing own DBSCAN for clustering Spatial Data:
NYC Shooting Incidents

Abstract

The aim of this project is to examine data regarding the spatial distribution of crimes committed from 2006 to 2023 a year in the New York City, in the United States of America.

Implementation of the DBSCAN algorithm and comparison of the obtained results with the algorithm from the scikit-learn library.

Datasets

NYC Shooting Incidents:

• csv: https://catalog.data.gov/dataset/nypd-shooting-incident-data-historic
  
• shapefile: https://data.cityofnewyork.us/Public-Safety/NYPD-Shooting-Incident-Data-Historic-/833y-fsy8

Police Precint:

• shapefile: https://s-media.nyc.gov/agencies/dcp/assets/files/zip/data-tools/bytes/nypp_23d.zip

Detailed project documentation in Polish language :

https://github.com/jkwiatk1/spatial-data-mining/blob/main/data/docs/Dokumentacja_ko%C5%84cowa_SPDB_Jan_Kwiatkowski.pdf