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Visualize Your Data
In defining a system to be used for visualizing case information and also capable of supporting geographic information systems (GIS) crime and incident analysis, standardizing on the ESRI ArcGIS Server and its Law Enforcement Data Model would provide a scalable, agile foundation for data visualization and future growth. The components or modules that need to be included in the system include Crime Analysis, Data Fusion/Intelligence Analysis, Community Corrections, COMPSTAT statistics module, Resource Management, Process Routing and MDT/MDC integration. Taken together these components and ArcGIS Server platform would provide for greater criminal analysis visualization and prediction over time. The use of data visualization in crime prediction and prevention, coupled with pattern and data analysis, has shown to have significant effects on reducing crime in targeted regional and metro areas (Xu, Chen, 2005).
Advantages Of Including A Data Visualization Component
There are many advantages of having a data visualization software platform and its associated...
First and most significant is the ability to map crime areas and through the use of data sets, attempt to quantify or predict the factors most leading to the crimes being committed there. This approach to gaining analytical insight into crimes can drastically reduce them through more effective preventative programs and initiatives. Second, having a data visualization component can also provide very valuable insights into the historical and causal analysis of crimes and trending across the metro area, controlling for broader macroeconomic factors. This can be invaluable in understanding how previous levels of unemployment, housing and rental prices, and related crimes have an effect on a given neighborhood or metro area in terms of its crime being experiences today. Third, a data visualization platform or system can be used for ascertaining the most probable or "soft" targets a terrorist might choose to attack. The L.A. Police Department is today using data visualization and geographic information systems (GIS) to anticipate and predict where terrorist attacks…
References
Heather Havenstein. (2006, January). Data Analysis May Help LAPD Fight Terrorism. Computerworld, 40(3), 4.
Pike, W., Bruce, J., Baddeley, B., Best, D., Franklin, L., May, R., Rice, D., Riensche, R., & Younkin, K.. (2009). The Scalable Reasoning System: Lightweight visualization for distributed analytics. Information Visualization: Special Issue on Visual Analytics, Science and Technology, 8(1), 71-84.
Post, F.. (2011). Data Visualization: Featuring Interactive Visual Analysis. Computer Graphics Forum, 30(2), xxiii-xxiii.
Jennifer Xu, & Hsinchun Chen. (2005). Criminal network analysis and visualization. Association for Computing Machinery. Communications of the ACM, 48(6), 100-107.
Data Warehousing and Data Mining Executive Overview Analytics, Business Intelligence (BI) and the exponential increase of insight and decision making accuracy and quality in many enterprises today can be directly attributed to the successful implementation of Enterprise Data Warehouse (EDW) and data mining systems. The examples of how Continental Airlines (Watson, Wixom, Hoffer, 2006) and Toyota (Dyer, Nobeoka, 2000) continue to use advanced EDW and data mining systems and processes to streamline
Systems Thinking The key constructs of systems thinking were constituted in the first half of the 20th century in fields such as psychology, ecology, organismal biology, and cybernetics (Capra 1997). They include: sub-systems/parts/wholes, environment/system/boundary, process/structure, emerging properties, hierarchy of organizations, negative and positive feedback, data and control, open systems, holism, and the observer. The practical application of these constructs in many fields was discovered by von Bertalanffy (1950). He referred to
Health-Care Data at Euclid Hospital Security and Control: A White Paper Protecting Health-Care Data The efficiency of the modern healthcare system is increasingly becoming reliant on a computerized infrastructure. Open distributed information systems have been initiated to bring professionals together on a common platform throughout the world. It needs to be understood that easy and flexible methods of processing and communication of images; sound and texts will help in visualizing and thereby
GIS Client/Server Systems Geographic Information System (GIS): Overview Use of GIS Client/Server Systems by U.S. Government Agencies Department of Agriculture (USDA) Census Bureau Environmental Protection Agency (EPA) Department of the Interior Fish and Wildlife Service Federal Emergency Management Authority Department of Homeland Security (DHS) Successful Deployment of GIS Technologies in Facilities Management and Transportation Real Life Application of GIS in Recent Times Application in other Jurisdictions The Future of GIS: Opportunities for Application An Examination of the Use of GIS (Geographic Information Systems) Client/Server
relationships and distinctions between the information systems concepts of data warehousing and data mining, which combined with online analytical processing (OLAP) form the backbone of decision support capability in the database industry. Decision support applications impose different demands for OLAP database technology than the online transaction processing (OLTP) model that preceded it. Data mining with OLAP differs from OLTP queries in the use of multidimensional data models, different data
Kansas City Preventive patrol study? 2) Define "evidence-based policing" 3) Describe relationship broken window theory criminality community oriented policing? 4) Saturation patrol displaces crimes. The Kansas experiment in policing revealed that, despite different levels of routine preventive patrol, crime committing remained constant. This is to say that, in areas where police officers merely responded to calls, the level of crimes did not increase. Neither did it decrease in areas where