'Investigative Technology Review and Critique Essay\r'

'Dr. Derek Paulsen examines geographic profile method actings and technologies. The findings be the exit of a research grant from the National make up of Justice (NIJ). The purpose of this research is to analyze the accuracy of and suggest methods for increasing the effectiveness of geographic profiling technologies. The research emphasizes the importance of making the distinction amidst commuter train or marauder wrongdoers forward to geographic profiling. Dr.\r\nPaulsen demonst order that by improving the commuter/marauder prescience early in the process and by geting more targeted research in the field, geographic profiling engineering science suffer be more effective and results can be more accurate. geographical profiling has been use in crime analysis since the early 1990s. It is an investigatory methodology that relies on location of connected crimes serial as a means of determining the close probable location cognise as an offender anchor point. According to Dr. Paulsen, 20 to 60 portion of crime series are come inted by commuters, and geographic profiling is highly inaccurate in predicting these series.\r\nTherefore, it is important to analyze variables and methods use to classify commuters and marauders prior to geographic profiling. This take up analyzed 106 crime series gathered from 25 U. S. jurisdictions. This study differed from traditional methods in the use of variables applied to classify offenders as commuter or marauder. Traditional models use residence as primary variable to sterilise classification. Paulsen modified this method to look at any of 14 known variables which might classify as marauders where traditional models whitethorn classify as commuters and performing logistic degeneration with SPSS software.\r\nSince profiling is inaccurate in predicting commuter series, Paulsen’s results improved the accuracy of prediction rate from 60% to 81% by changing the classification process. The findings are signif icant in that they are at betting odds with traditional theories of offender patterns and characteristics. Traditional theories state that marauders commit offenses closer to home. However, Paulsen’s research shows that commuters start in smaller geographic areas with more locations while marauders operate in larger more dispersed areas. trey important implications arise from this study.\r\nFurther research is essential to develop a method for determining commuter/marauder classification that can be used in multiple geographic profiling systems. inquiry is needed to determine if methods and results are accurate in various jurisdictions with differing demographics and crime characteristics. Alternative profiling and forebode methods must be weighed against this and other quick research. introductory studies were limited in number, only two, and in scope, focusing on software platform features and case studies and covering fire limited jurisdictions.\r\nThis study more extensive in size and scope. The primary limitation of this study is that the inherent sample consists of previously solved crimes. This underscores the need to conduct similar research on unsolved crimes to determine the accuracy of this model when all variables are not known. Additionally the case selection process for this study is limited by the police departments’ rationale for selecting cases to pass around for the study which is not addressed. Geographic profiling is a widely used crime analysis methodology which can and should be more effective.\r\nBy analyzing existing results and modifying components of the profiling process crime prediction rates can be significantly improved. Improving results of geographic profiling will depend on move research of adequate size and scope that focuses on alternative classification methods, a range of geographic locations, and solved and unsolved crimes. Reference Paulsen, D. (2007, September). Improving Geographic Profiling th rough Commuter/Marauder Prediction. patrol Practice & Research, 8(4), 347-357. Retrieved March 11, 2009, from Academic anticipate Premier database.\r\n'