Updated: Sep 1, 2021
Guide Kit Crimes are one of the most predominant problems that are happening in most of the urban areas in the world—different types of crimes that happen, including robbery, theft of vehicles, data, etc. As crime increases, the investigation process gets longer and more complicated. The use of information mining methods helps in resolving the most complicated criminal cases. Crime analysis with crime mapping helps in understanding the concepts and practices of crime analysis in assisting police and helps in the reduction and prevention of crimes and crime disorders. Listed below are best libraries to perform crime analysis mapping.
Crime-Prediction-Analysisby Mayank0255
3 Version:CurrentAnalysis on Crime Data from 2001 to 2019 of India
Crime-Prediction-Analysisby Mayank0255
Python 3 Version:Current License: Strong Copyleft (GPL-3.0)
crimemappingby mpjashby
10 Version:CurrentTutorials for crime mapping in R
crimemappingby mpjashby
HTML 10 Version:Current License: Permissive (CC-BY-4.0)
project-poirotby mansiganatra
1 Version:CurrentThe project contains our work for predictive crime analysis of LAPD Crime Dataset using machine learning techniques.
project-poirotby mansiganatra
Python 1 Version:Current License: Strong Copyleft (GPL-3.0)
gis_based_crime_mappingby eshandinesh
1 Version:CurrentThis was a government funded project which involved crime hotspot and mapping analysis using python and it's data analysis libraries
gis_based_crime_mappingby eshandinesh
Python 1 Version:Current License: Permissive (MIT)
neighborhood-mapby matthiasludwig
0 Version:CurrentCrimemap maps the crime data from open data sf (P5 - FEND)
neighborhood-mapby matthiasludwig
JavaScript 0 Version:Current License: Strong Copyleft (GPL-3.0)