Marc Buslik Chicago Police Department and Michael D
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Information Visualization Lecture 5
Information Visualization Lecture 5 IVIS15 Skylike (link to project, link to video) Mario Romero 2016/02/02 Proposal for Skylike IVIS15 Skylike proposal on Feb 13, 2015: “make night sky constellations from your network of friends.” 2016-02-02 IVIS16 L5 2 Feedback to Proposal: link to presentation PDF Diana, Andrés, Willie, Tomáš, Johanna: Your proposal is ambitious in some aspects and unclear in others. It is ambitious in its plan to compute constellations from network graphs. What is a constellation mathematically? You will need graph theory, a sophisticated data transformation. How many stars and links for a typical constellation? Why? Are there families of constellations? How do you represent the constellations within the network? What are the view transformations? How do you provide overview, zooming, filtering, details on demand? You need to focus. Who is your user? What are the tasks? Where do you get your raw data? You need refine your ideas. Using the 4K screen with the kinect may work. 2016-02-02 IVIS16 L5 3 Skylikes feedback to ”Hello World” Demo Diana, Andrés, Willie, Tomáš, Johanna: Your choice of focusing on Goodreads is wise. Your Hello World demo worked very well and it gave your classmates a concrete opportunity to provide actionable feedback. Good work. Your challenge remains the graph theory to compute reasonable constellations in the number of stars and edges and their location. For example, should you strive for planar graphs? How many nodes and edges? Where do you place the cut off? Also, you have to think about your query system and the permanence of the constellations across users, sessions, and networks of friends. -
Crime Mapping and Analysis by Community Organizations
U.S. Department of Justice Office of Justice Programs National Institute of Justice National Institute of Justice R e s e a r c h i n B r i e f March 2001 Issues and Findings Crime Mapping and Analysis Discussed in this Brief: An as- sessment of how community orga- by Community Organizations nizations in Hartford, Connecticut, used the Neighborhood Problem Solving (NPS) system, a computer- in Hartford, Connecticut based mapping and crime analysis technology. The NPS system en- By Thomas Rich abled users to create a variety of maps and other reports depicting Crime mapping has become increasingly community policing field offices. Devel- crime conditions by accessing a popular among law enforcement agencies oped with NIJ funding, the system enables database containing the most re- and has enjoyed high visibility at the Fed- users to create a variety of maps and other cent 2 years of incident-level police information. eral level, in the media, and among the reports depicting crime conditions by us- largest police departments in the Nation, ing a database containing the most recent Key issues: The objective in Hart- most notably those in Chicago and New 2 years of incident-level police informa- ford was to extend basic mapping York City. However, there have been few tion, including citizen-initiated calls for and crime analysis technologies efforts to make crime mapping capabilities service, reported crimes, and arrests. Al- beyond the law enforcement com- available to community residents and or- though some police departments routinely munity by putting them into the ganizations, although a National Institute publish aggregate crime statistics and a hands of neighborhood-based organizations so they could analyze of Justice (NIJ)-funded project in Chicago few publish incident-level crime informa- incident-level data and produce in the late 1980s aimed at introducing tion on the Internet, the objective in Hart- their own maps and reports. -
BOSTON POLICE DEPARTMENT | BOSTON REGIONAL INTELLIGENCE CENTER Alexa Lambros, Class of 2018
BOSTON POLICE DEPARTMENT | BOSTON REGIONAL INTELLIGENCE CENTER Alexa Lambros, Class of 2018 The BRIC interns with the BPD Chief of Police! MY ROLE: ASSISTANT CRIME ANALYST/RESEARCH ASSISTANT SPECIAL PROJECT • Mission/Goal Community policing; “working in partnership with the community to fight crime, STANDARD RESPONSIBILITIES reduce fear and improve the quality of life in our • Took raw data from UASI neighborhoods” (BPDnews.com) DAILY INFORMATION INFORMATION crime mapping database of all property stolen from • Size 20th largest LEA in the country; 3rd largest in SUMMARY REQUESTS • Fulfilled information retrieval 9/2015 – 2/2016 New England (Wikipedia) • Assembled packets of recent gang • Utilized Excel skills to • Organization 8 Bureaus and 12 districts incidents and summarized reports requests for Boston/UASI police, correctional, and probation officers organize/categorize data • Focus/Success Utilizes unique combination of • Researched arrests from Urban • Evaulated relationships community relations and statistical analysis to Area Security Initiative (UASI) between numerous elements of reduce crime throughout city; over the last four districts and summarized reports BULLETINS collected data and drew decades, Boston has achieved a large decrease in • Compiled incident summaries on • Created ID Wanted, Wanted, relevant conclusions its overall crime rate (BPDnews.com) violent and property crime within Missing Person, and BOLO bulletins • IMPORTANCE: Created Boston and UASI districts into BRIC's at request of Boston/UASI officers infographic -
Motor Vehicle Theft: Crime and Spatial Analysis in a Non-Urban Region
The author(s) shown below used Federal funds provided by the U.S. Department of Justice and prepared the following final report: Document Title: Motor Vehicle Theft: Crime and Spatial Analysis in a Non-Urban Region Author(s): Deborah Lamm Weisel ; William R. Smith ; G. David Garson ; Alexi Pavlichev ; Julie Wartell Document No.: 215179 Date Received: August 2006 Award Number: 2003-IJ-CX-0162 This report has not been published by the U.S. Department of Justice. To provide better customer service, NCJRS has made this Federally- funded grant final report available electronically in addition to traditional paper copies. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. This document is a research report submitted to the U.S. Department of Justice. This report has not been published by the Department. Opinions or points of view expressed are those of the author(s) and do not necessarily reflect the official position or policies of the U.S. Department of Justice. EXECUTIVE SUMMARY Crime and Spatial Analysis of Vehicle Theft in a Non-Urban Region Motor vehicle theft in non-urban areas does not reveal the well-recognized hot spots often associated with crime in urban areas. These findings resulted from a study of 2003 vehicle thefts in a four-county region of western North Carolina comprised primarily of small towns and unincorporated areas. While the study suggested that point maps have limited value for areas with low volume and geographically-dispersed crime, the steps necessary to create regional maps – including collecting and validating crime locations with Global Positioning System (GPS) coordinates – created a reliable dataset that permitted more in-depth analysis. -
Crime Mapping: Spatial and Temporal Challenges
CHAPTER 2 Crime Mapping: Spatial and Temporal Challenges JERRY RATCLIFFE INTRODUCTION Crime opportunities are neither uniformly nor randomly organized in space and time. As a result, crime mappers can unlock these spatial patterns and strive for a better theoretical understanding of the role of geography and opportunity, as well as enabling practical crime prevention solutions that are tailored to specific places. The evolution of crime mapping has heralded a new era in spatial criminology, and a re-emergence of the importance of place as one of the cornerstones essential to an understanding of crime and criminality. While early criminological inquiry in France and Britain had a spatial component, much of mainstream criminology for the last century has labored to explain criminality from a dispositional per- spective, trying to explain why a particular offender or group has a propensity to commit crime. This traditional perspective resulted in criminologists focusing on individuals or on communities where the community extended from the neighborhood to larger aggregations (Weisburd et al. 2004). Even when the results lacked ambiguity, the findings often lacked policy relevance. However, crime mapping has revived interest and reshaped many criminol- ogists appreciation for the importance of local geography as a determinant of crime that may be as important as criminal motivation. Between the individual and large urban areas (such as cities and regions) lies a spatial scale where crime varies considerably and does so at a frame of reference that is often amenable to localized crime prevention techniques. For example, without the opportunity afforded by enabling environmental weaknesses, such as poorly lit streets, lack of protective surveillance, or obvious victims (such as overtly wealthy tourists or unsecured vehicles), many offenders would not be as encouraged to commit crime. -
Crime Mapping and Spatial Analysis Using Arcgis Online for Police Officers
Public Safety - Crime Mapping and Spatial Analysis Using ArcGIS Online for Police Officers Knowledge, Skills, and Abilities (KSAs) Supported This training module aids in the development of several KSAs that are fundamental to using GIS for public safety planning and operations. The ability to perform crime mapping using ArcGIS Online is a foundational skill that is relevant to a multitude of GIS applications. In addition, the following training tutorial builds essential knowledge of how to design and use crime data for web mapping. ** This training tutorial is intended for training, exercise, and preparedness efforts only. It is not intended to support emergency response operations.** Knowledge Gained: ✓ Definition of Crime Mapping: Crime mapping is a sub-discipline of geography that works to answer the question, “What crime is happening where?” It focuses on mapping incidents, identifying where the most crime occurs and analyzing the spatial relationships of targets and these areas. ✓ Definition of Heat Mapping: This technique is used to visualize geographic data and show areas where a higher density or cluster of activity occurs. For both types of spatial analysis, a color gradient is used to indicate areas of increasingly higher density. See the following example from Jersey City, NJ: ✓ Esri has selected HERE Map Content (www.esri.com/here) as the foundation street data for its cloud-based mapping platform as well as for StreetMap Premium and numerous other Esri products. ✓ Esri uses HERE map content and HERE point addressing to build the geocoding locators used in both ArcGIS Online (AGOL) and StreetMap Premium (SMP). 1 Skills and Abilities Developed: ✓ Ability to develop a table with the essential spatial data for crime mapping and how to adjust the address format to be recognized in ArcGIS Online platform. -
A Mobile Visual Analytics Approach for Law Enforcement Situation Awareness
A Mobile Visual Analytics Approach for Law Enforcement Situation Awareness Ahmad M. M. Razip, Abish Malik, Matthew Potrawski, Ross Maciejewski, Member, IEEE, Yun Jang, Member, IEEE, Niklas Elmqvist, Senior Member, IEEE, and David S. Ebert, Fellow, IEEE (a) Risk profile tools give time- and location-aware assessment of public safety using law (b) The mobile system can be used anywhere with cellular network coverage to visualize enforcement data. and analyze law enforcement data. Here, the system is being used as the user walks down a street. Fig. 1: Mobile crime analytics system gives ubiquitous and context-aware analysis of law enforcement data to users. Abstract— The advent of modern smartphones and handheld devices has given analysts, decision-makers, and even the general public the ability to rapidly ingest data and translate it into actionable information on-the-go. In this paper, we explore the design and use of a mobile visual analytics toolkit for public safety data that equips law enforcement agencies and citizens with effective situation awareness and risk assessment tools. Our system provides users with a suite of interactive tools that allow them to perform analysis and detect trends, patterns and anomalies among criminal, traffic and civil (CTC) incidents. The system also provides interactive risk assessment tools that allow users to identify regions of potential high risk and determine the risk at any user-specfied location and time. Our system has been designed for the iPhone/iPad environment and is currently being used and evaluated by a consortium of law enforcement agencies. We report their use of the system and some initial feedback. -
Testing a Geospatial Predictive Policing Strategy
TESTING A GEOSPATIAL PREDICTIVE POLICING STRATEGY: APPLICATION OF ARCGIS 3D ANALYST TOOLS FOR FORECASTING COMMISSION OF RESIDENTIAL BURGLARIES By SOLMAZ AMIRI A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF DESIGN WASHINGTON STATE UNIVERSITY School of Design and Construction DECEMBER 2014 © Copyright by SOLMAZ AMIRI, 2014 All Rights Reserved © Copyright by SOLMAZ AMIRI, 2014 All Rights Reserved To the Faculty of Washington State University: The members of the Committee appointed to examine the dissertation/thesis of SOLMAZ AMIRI find it satisfactory and recommend that it be accepted. ___________________________________ Kerry R Brooks, Ph.D., Chair ___________________________________ Bryan Vila, Ph.D. ___________________________________ Kenn Daratha, Ph.D. ___________________________________ David Wang, Ph.D. ii ACKNOWLEDGMENTS I would like to thank my committee for their guidance, understanding, patience and support during my studies at Washington State University. I would like to gratefully and sincerely thank Dr. Kerry Brooks for accepting to direct this dissertation. Dr. Brooks introduced me to the fields of geographic information systems and scientific studies of cities, and helped me with every aspect of my research. He asked me questions to help me think harder, spent endless time reviewing and proofreading my papers and supported me during the difficult times in my research. Without his encouragements, continuous guidance and insight, I could not have finished this dissertation. I am grateful to Dr. Bryan Vila for joining my committee. Dr. Vila put a great deal of time to help me understand ecology of crime and environmental criminology. I showed up at his office without having scheduled a prior appointment, and he was always willing to help. -
Spatial Technology As a Tool to Analyse and Combat Crime
SPATIAL TECHNOLOGY AS A TOOL TO ANALYSE AND COMBAT CRIME By CORNÉ ELOFF Submitted in accordance with the requirements for the degree DOCTOR OF LITERATURE AND PHILOSOPHY in the subject CRIMINOLOGY at the UNIVERSITY OF SOUTH AFRICA PROMOTER: PROF. J H PRINSLOO NOVEMBER 2006 Student No: 3034-380-1 I declare that SPATIAL TECHNOLOGY AS A TOOL TO ANALYSE AND COMBAT CRIME is my own work and that all the sources that I have used or quoted have been indicated and acknowledged by means of complete references. ____________________________________ ______________ Corné Eloff Date i KEYWORDS Border control and monitoring Car-hijacking Crime analysis Crime combating Crime hot spots Crime incidents Crime Prevention Through Environmental Design (CPTED) Criminological theories Criminology Earth Observation Satellites Ecological theory Electromagnetic energy Geographical Information Systems High density residential House Burglaries Hyperspectral Informal Settlements Land use classification Light detection and ranging (LiDAR) Low density residential Macro analysis Mapping Micro analysis Murder Object Orientated Image Analysis Orbital science Rape Remote Sensing Remote sensing applications Spatial technology ii ACKNOWLEDGMENTS • To my mother and father who have been pillars of support throughout my tertiary education since 1994. • To my wife (Sietske) and son (Damian) for their love and undivided support during my research. • To all my colleagues at the CSIR Satellite Applications Centre for their support and sharing their knowledge of remote sensing and space science which contributed immensely to the gathering of information to complete this research. I would like to make special mention of Ms Elsa de Beer and Ms Betsie Snyman for their administrative support during this study. -
Current Strategies for Reducing Recidivism
CURRENT STRATEGIES FOR REDUCING RECIDIVISM LISE MCKEAN, PH.D. CHARLES RANSFORD CENTER FOR IMPACT RESEARCH AUGUST 2004 ACKNOWLEDGEMENTS PROJECT FUNDER Chicago Community Organizing Capacity Building Initiative PROJECT PARTNERS Developing Justice Coalition Coalition Members ACORN Ambassadors for Christ Church Brighton Park Neighborhood Council Chicago Coalition for the Homeless Community Renewal Society Developing Communities Project Foster Park Neighborhood Council Garfield Area Partnership Global Outreach Ministries Inner-City Muslim Action Network Northwest Neighborhood Federation Organization of the North East Protestants for the Common Good SERV-US Southwest Organizing Project Target Area Development Corp. West Side Health Authority Center for Impact Research Project Staff Lise McKean, Ph.D., Project Director Charles Ransford 2 TABLE OF CONTENTS EXECUTIVE SUMMARY……………………………………………… 4 INTRODUCTION …………………………...……………………….. 8 STUDY DESIGN……………………………………………………… 9 DEFINING RECIDIVISM……………………………………………… 11 FINDINGS ON PROGRAMS ………………………………………….. 15 Treatment Programs………………………………………….. 15 Educational Programs……………………………………....... 18 Employment Programs………………………………………. 19 Other Types of Programs……………………………….......... 21 RECOMMENDATIONS …………..…………………………………… 24 APPENDIX…..………………………………………………………. 27 3 CURRENT STRATEGIES FOR REDUCING RECIDIVISM Lise McKean, Ph.D., and Charles Ransford Center for Impact Research August 2004 EXECUTIVE SUMMARY Recidivism is the relapse into criminal activity and is generally measured by a former prisoner’s return to prison for a new offense. Rates of recidivism reflect the degree to which released inmates have been rehabilitated and the role correctional programs play in reintegrating prisoners into society. The rate of recidivism in the U.S. is estimated to be about two-thirds, which means that two-thirds of released inmates will be re-incarcerated within three years. High rates of recidivism result in tremendous costs both in terms of public safety and in tax dollars spent to arrest, prosecute, and incarcerate re-offenders. -
The Language of Spatial ANALYSIS CONTENTS
The Language of spatial ANALYSIS CONTENTS Foreword How to use this book Chapter 1 An introduction to spatial analysis Chapter 2 The vocabulary of spatial analysis Understanding where Measuring size, shape, and distribution Determining how places are related Finding the best locations and paths Detecting and quantifying patterns Making predictions Chapter 3 The seven steps to successful spatial analysis Chapter 4 The benefits of spatial analysis Case study Bringing it all together to solve the problem Reference A quick guide to spatial analysis Additional resources FOREWORD Watching the GIS industry grow for more than 25 years, I have seen innovation in the problems we solve, the people we can reach through technology, the stories we tell, and the decisions that help make our organizations and the world more successful. However, what has not changed is our longstanding goal to better understand our world through spatial analysis. Traveling the world I have met people from many diverse cultures who work in a wide range of industries. However, as I listen to their mission and challenges, there is a common pattern: we all speak the same language—it is the language of spatial analysis. This language consists of a core set of questions that we ask, a taxonomy that organizes and expands our understanding, and the fundamental steps to spatial analysis that embody how we solve spatial problems. I encourage each of you to learn and communicate to the world the power of spatial analysis. Learn the definition, learn the vocabulary and the process, and most important, be able to speak this language to the world. -
Annual Report, Year 4
ANNUAL REPORT Year 4 1 May 2002 – 30 April 2003 University of California, Santa Barbara May 2003 CSISS is funded by the National Science Foundation (NSF BCS 9978058) to support the development of research infrastructure in the social and behavioral sciences ANNUAL REPORT Year 4 1 May 2002 – 30 April 2003 Compiled by Donald G. Janelle Center for Spatially Integrated Social Science University of California, Santa Barbara 3510 Phelps Hall Santa Barbara CA 93106-4060 Office: (805) 893-8224 Fax: (805) 893-8617 URL: CSISS.org Email: [email protected] May 2003 CSISS IS FUNDED BY THE NATIONAL SCIENCE FOUNDATION (NSF BCS 9978058) TO SUPPORT THE DEVELOPMENT OF RESEARCH INFRASTRUCTURE IN THE SOCIAL AND BEHAVIORAL SCIENCES CENTER FOR SPATIALLY INTEGRATED SOCIAL SCIENCE Executive Committee Science Advisory Board University of California, Santa Barbara Brian Berry, Chair Director and PI University of Texas at Dallas Michael F. Goodchild Richard A. Berk University of California Los Angeles Program Director Bennett I. Bertenthal Donald G. Janelle University of Chicago Jack Dangermond Environmental Systems Senior Researchers Research Institute Richard P. Appelbaum, co-PI Amy K. Glasmeier Helen Couclelis Pennsylvania State University Barbara Herr-Harthorn Myron P. Gutmann Peter J. Kuhn Interuniversity Consortium for Political Terence R. Smith & Social Research Stuart Sweeney Nancy G. LaVigne Urban Institute Luc Anselin Justice Policy Center PI for Tools Development John R. Logan University of Illinois University at Albany, SUNY Urbana-Champaign Emilio F. Moran Indiana University Peter A. Morrison Rand Corporation Karen R. Polenske Massachusetts Institute of Technology Robert Sampson University of Chicago V. Kerry Smith North Carolina State University, Raleigh B.L.