Connecting Iowa’s Disproportionate Minority Confinement Efforts to the Iowa Justice Data Warehouse, 2002

Funds for this report and grant were provided to the Iowa Division of Criminal and Juvenile Justice Planning (CJJP) and Statistical Analysis Center, by the Justice Research and Statistics Association (JRSA) through a cooperative agreement entitled “Juvenile Justice Evaluation Resource Center” with the Office of Juvenile Justice and Delinquency Prevention (OJJDP), U.S. Department of Justice (DOJ).

Spatial Data Systems for Transportation Planning, 1997

The objective of this research was to develop a methodology for transforming and dynamically segmenting data. Dynamic segmentation enables transportation system attributes and associated data to be stored in separate tables and merged when a specific query requires a particular set of data to be considered. A major benefit of dynamic segmentation is that individual tables can be more easily updated when attributes, performance characteristics, or usage patterns change over time. Applications of a progressive geographic database referencing system in transportation planning are vast. Summaries of system condition and performance can be made, and analyses of specific portions of a road system are facilitated.

LSI-R Assessment is Valid for Iowa Offenders, Data Download, Iowa Department of Corrections, September 2006

Welcome to the first issue of the ICON Data Download, a periodic report intended to communicate findings relevant to those who work directly with offenders, as well as those involved in planning, policy and budgeting. This issue highlights work conducted by research partner Christopher Lowenkamp, Ph.D., of the University of Cincinnati and his research associate, Kristin Bechtel, M.S. Data for this analysis was provided from the Iowa Justice Data Warehouse – and takes advantage of the link between ICON and ICIS (the court database) to readily track offender recidivism.

GPS to LRM: Integration of Spatial Point Features with Linear Referencing Methods, 2001

Global positioning systems (GPS) offer a cost-effective and efficient method to input and update transportation data. The spatial location of objects provided by GPS is easily integrated into geographic information systems (GIS). The storage, manipulation, and analysis of spatial data are also relatively simple in a GIS. However, many data storage and reporting methods at transportation agencies rely on linear referencing methods (LRMs); consequently, GPS data must be able to link with linear referencing. Unfortunately, the two systems are fundamentally incompatible in the way data are collected, integrated, and manipulated. In order for the spatial data collected using GPS to be integrated into a linear referencing system or shared among LRMs, a number of issues need to be addressed. This report documents and evaluates several of those issues and offers recommendations. In order to evaluate the issues associated with integrating GPS data with a LRM, a pilot study was created. To perform the pilot study, point features, a linear datum, and a spatial representation of a LRM were created for six test roadway segments that were located within the boundaries of the pilot study conducted by the Iowa Department of Transportation linear referencing system project team. Various issues in integrating point features with a LRM or between LRMs are discussed and recommendations provided. The accuracy of the GPS is discussed, including issues such as point features mapping to the wrong segment. Another topic is the loss of spatial information that occurs when a three-dimensional or two-dimensional spatial point feature is converted to a one-dimensional representation on a LRM. Recommendations such as storing point features as spatial objects if necessary or preserving information such as coordinates and elevation are suggested. The lack of spatial accuracy characteristic of most cartography, on which LRM are often based, is another topic discussed. The associated issues include linear and horizontal offset error. The final topic discussed is some of the issues in transferring point feature data between LRMs.

Iowa Department of Corrections Report to the Board of Corrections, Women Offenders, 2006

This report goes beyond documentation of the population growth and needs of women offenders to describe how the Iowa Department of Corrections is addressing treatment needs of the female offender population. Except where noted, information was obtained from the Iowa Corrections Offender Network (ICON) with many of the reports obtained via the Iowa Justice Data Warehouse.

Report to the Board of Corrections, Sex Offenders, 2006

This report begins with the prevalence and projected growth of offenders convicted of sex crimes within Iowa’s community-based corrections and prison populations, then describes how the Iowa Department of Corrections is addressing sex offenders’ issues through the provision of treatment and management strategies. Except where noted, information was obtained from the Iowa Corrections Offender Network (ICON) with many of the reports obtained via the Iowa Justice Data Warehouse.

Mental Health, Report to the Board of Corrections, 2006

This report goes beyond mere documentation of the problem. It describes how the Iowa Department of Corrections is addressing mental health issues among the offender population through the provision of treatment. All data was obtained from Iowa Corrections Offender Network (ICON) information residing in the Iowa Justice Data Warehouse, and the ICON-Medical module. 1

Substance Abuse, Report to the Board of Corrections, 2006

This report, however, goes beyond documentation of the problem. It describes how the Iowa Department of Corrections is addressing substance abuse among the offender population through the provision of treatment, and monitoring for current drug and alcohol usage. All information was obtained from the Iowa Corrections Offender Network (ICON) with many of the reports obtained via the Iowa Justice Data Warehouse.

State of Iowa Juvenile Delinquency Annual Statistical Report, 2006

The Iowa Juvenile Court Services Offices are issuing their fourth annual statewide report. The the Iowa Division of Criminal and Juvenile Justice Planning (CJJP). This report would not be possible without the dedication of, and assistance from, all of the above-mentioned people. The eight Chief Juvenile Court Officers would like to take this opportunity to thank their staff for their dedication and their ability to enter accurate information on every youth referred to Juvenile Court Services; the staff at the Iowa Court Information System, without whom this report would not be possible; and CJJP for their maintenance of the Iowa Justice Data Warehouse and their support in preparing this document.

State of Iowa Juvenile Delinquency Annual Statistical Report, 2007

The Iowa Juvenile Court Services Offices are issuing their fourth annual statewide report. The the Iowa Division of Criminal and Juvenile Justice Planning (CJJP). This report would not be possible without the dedication of, and assistance from, all of the above-mentioned people. The eight Chief Juvenile Court Officers would like to take this opportunity to thank their staff for their dedication and their ability to enter accurate information on every youth referred to Juvenile Court Services; the staff at the Iowa Court Information System, without whom this report would not be possible; and CJJP for their maintenance of the Iowa Justice Data Warehouse and their support in preparing this document.

Project Newsletter Iowa Public Health Tracking, June 2013

The Data Warehouse Replacement Project includes updated County Health Snapshot reports. The snapshots provide an overview of key health indicators for local communities. They contain county-level measures that are organized into eight categories. The categories are asthma, cancer, health behaviors and outcomes, heart disease and other chronic conditions, infectious disease, mortality and injury prevention, population statistics and reproductive outcomes. The updated county health snapshots include almost forty new chronic disease indicators in addition to all of the indicators in the existing snapshots.There will be two different reports available in the Data Warehouse replacement system. One of the reports is a multi-year county health snapshot. This report has a similar format to the previous county health snapshot report in the current Data Warehouse. It will display multiple years of data for a single county. The data will be for the most current year available and the two years prior. The state values for the current year will also be included.

Secondary Accident Data Fusion for Assessing Long-Term Performance of Transportation Systems, 2007

Secondary accident statistics can be useful for studying the impact of traffic incident management strategies. An easy-to-implement methodology is presented for classifying secondary accidents using data fusion of a police accident database with intranet incident reports. A current method for classifying secondary accidents uses a static threshold that represents the spatial and temporal region of influence of the primary accident, such as two miles and one hour. An accident is considered secondary if it occurs upstream from the primary accident and is within the duration and queue of the primary accident. However, using the static threshold may result in both false positives and negatives because accident queues are constantly varying. The methodology presented in this report seeks to improve upon this existing method by making the threshold dynamic. An incident progression curve is used to mark the end of the queue throughout the entire incident. Four steps in the development of incident progression curves are described. Step one is the processing of intranet incident reports. Step two is the filling in of incomplete incident reports. Step three is the nonlinear regression of incident progression curves. Step four is the merging of individual incident progression curves into one master curve. To illustrate this methodology, 5,514 accidents from Missouri freeways were analyzed. The results show that secondary accidents identified by dynamic versus static thresholds can differ by more than 30%.