Grid-Based Crime Prediction Using Geographical Features

Grid-Based Crime Prediction Using Geographical Features

Machine learning is useful for grid-based crime prediction. Many previous studies have examined factors including time, space, and type of crime, but the geographic characteristics of the grid are rarely discussed, leaving prediction models unable to predict crime displacement. This study incorporat...

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Bibliographic Details
Main Authors: Ying-Lung Lin, Meng-Feng Yen, Liang-Chih Yu
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
crime prevention
crime displacement
machine learning
spatial analysis
feature engineering
crime prediction
Online Access:http://www.mdpi.com/2220-9964/7/8/298

Internet

http://www.mdpi.com/2220-9964/7/8/298

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