Welcoming New Iowans: A Guide for Managers and Supervisors; The Best Practices of Iowa Employers with Immigrants and efugees in the Workplace, 2002

This guidebook has been published by the University of Northern Iowa New Iowans Program to assist employers, managers and supervisors with the unique challenges associated with hiring, training and integrating immigrant and refugee workers. Its purpose is to promote proactive engagement of newcomer workers to assure the vitality of Iowa businesses. Successful integration of immigrants and refugees in our workplaces and communities is essential to insure Iowa���s long-term economic and social health. This book provides essential information for human resource directors, trainers, supervisors and others as they meet the challenges and rewards of hiring immigrants and refugees. Of course, no guidebook can provide simple solutions to complex issues in a great variety if workplaces. This is not a ���cookbook��� with recipes that provide easy answers to challenges facing every company and worker. All employers are unique and approach problems differently. What works in one company might not work as well in another.

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.