This paper will study Hawaii Crime Rate and Crime Pattern as compared to the other US National States. There are two distinct crime clusters at National level: (1) the 1 st cluster is more mild crime such as Burglary, Larceny, Auto and Robbery, (2) the 2nd cluster is more aggressive such as Murder, Rap, and Assault. Hawaii state has a higher Burglary and Larceny Crime Rates around 90% Percentile among US States. Constellation plot shows Hawaii state has the most similar pattern as Delaware state. Hawaii crime trending was further studied from Year 1975 to Year 2010. As the population increased steadily, the murder and burglary rates dropped but the assault rate increased accordingly. Hawaii state crime pattern is also compared to National Level, Delaware State (most identical to Hawaii), and Utah State (most different to Hawaii). Benchmarking to the other states may help Hawaii State Government to learn the experience and study from the other US states which have similar Crime Pattern.
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This paper will study Hawaii Crime Rate and Crime Pattern as compared to the other US National States. There are two distinct crime clusters at National level: (1) the 1stcluster is more mild crime such as Burglary, Larceny, Auto and Robbery, (2) the 2nd cluster is more aggressive such as Murder, Rap, and Assault. Hawaii state has a higher Burglary and Larceny Crime Rates around 90% Percentile among US States. Constellation plot shows Hawaii state has the most similar pattern as Delaware state. Hawaii crime trending was further studied from Year 1975 to Year 2010. As the population increased steadily, the murder and burglary rates dropped but the assault rate increased accordingly. Hawaii state crime pattern is also compared to National Level, Delaware State (most identical to Hawaii), and Utah State (most different to Hawaii). Benchmarking to the other states may help Hawaii State Government to learn the experience and study from the other US states which have similar Crime Pattern.
The objective of this paper is to apply the STEAMS (Science, Technology, Engineering, Artificial Intelligence, Mathematics, Statistics) technique in order to predict future crime rates by analyzing the crime data of the past decade. The history of crime traces back to the millennia; as many perpetual elements go into why people commit crime- including one’s upbringing, family cohesiveness, and their environment. Population growth, density, size, and degree of urbanization; economic conditions, cultural/educational characteristics, and different law enforcements all influence crime rates as well. Literary research was done online regarding whether the factors of, specifically, violent, property, murder, and rape rates of Alaska, California, Florida, and New York will worsen or improve. The 5 Whys engineering process was used find the most prominent cause(s) of crime in each state. Clustering was used to classify the data based on similarity and patterns. The primary functions and calculations of the project were completed through analysis, data modeling, and algorithm training/predicting. Multidimensional Regression was used to test further whether or not a pattern existed within the crime data from the last decade. The Monte Carlo simulation approach was adopted as well to predict future crime rates of the particular states.
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