Tutorials for crime mapping in R
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Updated
Mar 10, 2024 - HTML
Tutorials for crime mapping in R
Analyzing and forecasting crime in Mexico (Project done as part of a course at UChicago - Winter 2017)
This is Project on Visualizing the Crime Data (2017-2019), taken from "Crime in India-Volume 1" from NCRB.
Analysis of the violence and local business in the city of Tijuana
Crime and Criminal Analysis System integrating geospatial, temporal, and demographic analytics for predictive modeling of criminal activities. It employs machine learning for optimizing police resource allocation and incorporates real-time social media scraping for proactive crime detection.
New York crime analysis - R - Data mining course - association rules - density clustering(DBSCAN) - hotspots detection - mapping crimes
CrimeEye is a web application that enables users to view and report crime incidents in real-time.
Repositorio del Taller de Análisis Geoespacial con R.
Final project for GWU DATS 6401 - Data Visualization of Complex Data
A deep learning based license plate reader dynamic placement APP for crime detection and deterrence.
Data for Toronto Bicycle-related crimes from 2014 to 2017
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program; Data Visualization Course.
Investigation of the evolutionary change in crimes in Chicago, IL.
Data analysis and visualization on crimes in Boston
In this simulation, we will explore the Los Angeles crime statistics, specifically rapes, based on law enforcement data.
Text of the textbook that accompanies the UCL module SECU0005 Crime Mapping
Focus: Show a temporal space on Chicago crime.
A deep dive into New York crime statistics using pandas, NYC Opendata API and Facebook Prophet for forecasting crimes.
This repo contains a regression analysis of crime rates in the Boston area.
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