The book and accompanying disk use the capabilities of electronic spreasheet programs to provide 19 spreadsheet models that can be used for a wide range of urban and regional analysis and planning applications. The models have been developed for Lotus 1-2-3, Version 1.00, for the IBM personal computer and compatible systems and can be adapted for use with other spreadsheet programs.

For more than 35 years, planners have depended on The Planner's Use of Information to help them address their information needs. While the ability to manage complex information skillfully remains central to the practice of planning, the variety and quantity of information have ballooned in the last two decades. The methods of accessing and handling information––although often ultimately easier and faster––require new technical savvy. At the same time, planners themselves, and the constituents they serve, have changed. This completely revised and updated third edition of this popular book will serve the new generation of planners who work in a world where social media, cell phones, community-embedded development, and a changing population have revolutionized the practice of planning. Edited again by Hemalata C. Dandekar, with chapters by leading experts in data collection, analysis, presentation, and management, The Planner's Use of Information empowers practitioners to use and address the impacts of twenty-first-century technologies. The book offers a range of methods for addressing many kinds of information needs in myriad situations. It is an invaluable day-to-day resource for practicing planners and an ideal classroom text for courses in planning communication and analytical methods. Illustrations, real-life examples, cartoons, exercises, bibliographies, and lists of online resources enrich the text.

Geographic information systems represent an exciting and rapidly expanding technology via which spatial data may be captured, stored, retrieved, displayed, manipulated and analysed. Applications of this technology include detailed inventories of land use parcels. Spatial patterns of disease, geodemographics, environmental management and macroscale inventories of global resources. The impetus for this book is the relative lack of research into the integration of spatial analysis and GIS, and the potential benefits in developing such an integration. From a GIS perspective, there is an increasing demand for systems that do something other than display and organize data. From a spatial analytical perspective, there are advantages to linking statistical methods and mathematical models to the database and display capabilities of a GIS. Although the GIS may not be absolutely necessary for spatial analysis, it can facilitate such an analysis and moreover provide insights that might otherwise have been missed. The contributions to the book tell us where we are and where we ought to be going. It suggests that the integration of spatial analysis and GIS will stimulate interest in quantitative spatial science, particularly exploratory and visual types of analysis and represents a unique statement of the state-of-the-art issues in integration and interface.

In Chapter 3, the author outlines a four-step projection procedure which is used throughout the remainder of the book. Chapter 4 describes how to project population size by comparing the growth pattern of the population under study with that of another population. The next chapter covers one of the most commonly employed techniques of population projection - the cohort-survival model, which is used not only to project the size of a population but also its composition in terms of age and sex groupings. The final chapter focuses on migration, generally the most volatile component of the basic demographic equation. Primarily written for courses in planning, this book is also useful for anyone having to make decisions affected by population trends, whether they involve planning for future growth or alerting local decisionmakers to external uncertainties that could have a serious impact on the future of their community.

The initial plans for this book sprang from a late-afternoon conversation in a hotel bar. All three authors were attending the 1996 meeting of the Population As- ciation of America in New Orleans. While nursing drinks and expounding on a variety of topics, we began talking about our current research projects. It so happened that all three of us had been entertaining the notion of writing a book on state and local population projections. Recognizing the enormity of the project for a single author, we quickly decided to collaborate. Had we not decided to work together, it is unlikely that this book ever would have been written. The last comprehensive treatment of state and local population projections was Don Pittenger’s excellent work Projecting State and Local Populations (1976). Many changes affecting the production of population projections have occurred since that time. Technological changes have led to vast increases in computing power, new data sources, the development of GIS, and the creation of the Internet. The procedures for applying a number of projection methods have changed considerably, and several completely new methods have been developed.