id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_jddwxoczfvcrlemwjg6ttpk5wq	Zhiran Zhang	Spatiotemporal Patterns and Driving Factors on Crime Changing During Black Lives Matter Protests	2020	19	.pdf	application/pdf	13423	1405	72	Spatiotemporal Patterns and Driving Factors on Crime Changing During Black Lives Matter Protests crime data in 50 U.S. cities/counties to explore the spatiotemporal crime changes under BLM protests cities/counties; (2) the volume and spatial distribution of certain crime types changed under BLM race, demographic, and crime rate in 2019 are related with burglary changes during BLM protests. As shown in Figure 4a–f, crime rose sharply in a few cities/counties during the BLM protests. As shown in Figure 4a–f, crime rose sharply in a few cities/counties during the BLM protests. From the overall time series analysis, crime changed a lot in a few counties/cities during the BLM From the overall time series analysis, crime changed a lot in a few counties/cities during the BLM The resulting ANN shows that counties/cities with higher changes in burglary trend and driving factors of burglary during BLM protests in 50 counties and cities, U.S. The results	./cache/work_jddwxoczfvcrlemwjg6ttpk5wq.pdf	./txt/work_jddwxoczfvcrlemwjg6ttpk5wq.txt