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Designing Geodatabases for Transportation
By J. Allison Butler
Esri Press, 2008 450 pp.
ISBN: 9781589481640

Price: $64.95
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Designing Geodatabases: Case Studies in GIS Data Modeling Designing Geodatabases: Case Studies in GIS Data Modeling
by David Arctur and Michael Zeiler
Esri Press, 2004, 408 pp.
ISBN: 158948021X

Price: $44.95
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GIS Worlds: Creating Spatial Data Infrastructures
by Ian Masser
Esri Press, 2005, 336 pp.
ISBN: 1589481224.

Price: $49.95
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(U.S. Customers Only)
Modeling Our World: The Esri Guide to Geodatabase Concepts, Second Edition Modeling Our World: The Esri Guide to Geodatabase Concepts, Second Edition
by Michael Zieler
Esri Press, 2010, 308 pp.
ISBN: 9781589482784

Price: $44.95
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Spatial Statistical Data Analysis for GIS Users Spatial Statistical Data Analysis for GIS Users by Konstantin Krivoruchko
Esri Press, 2011, DVD
ISBN: 9781589481619

Price: $39.99
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Esri Guide to GIS Analysis The Esri Guide to GIS Analysis, Volume 1
by Andy Mitchell
Esri Press, 1999, 188 pp.
ISBN: 1879102064.

Price: $34.95
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The Esri Guide to GIS Analysis, Volume 2
by Andy Mitchell
Esri Press, 2005, 252 pp.
ISBN: 1-58948-116-X

Price: $34.95
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The Esri Guide to GIS Analysis, Volume 3
by Andy Mitchell
Esri Press, 2012, 432 pages
ISBN: 978-1-58948-305-7

Price: $44.95
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The GIS Guide to Public Domain Data The GIS Guide to Public Domain Data
Joseph J. Kerski and Jill Clark
Esri Press, 2012, 388 pages
ISBN: 978-1-58948-244-9

Price: $49.95
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Unlocking the Census with GIS Unlocking the Census with GIS
By Alan Peters and Heather MacDonald
Esri Press, 2004, 330 pp.
ISBN: 1589481135

Price: $44.95
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  Casebook for Spatial Statistical Data Analysis

This volume compiles geostatistical and spatial autoregressive data analyses involving georeferenced socioeconomic, natural resources, agricultural, pollution, and epidemiological variables. Benchmark analyses are followed by analyses of readily available data sets, emphasizing parallels between geostatistical and spatial autoregressive findings. Both SAS and SPSS code are presented for implementation purposes. This informative casebook will serve geographers, regional scientists, applied spatial statisticians, and spatial scientists from across disciplines.

  Geographic Data Mining and Knowledge Discovery

Developed out of the renowned Varenius Project in 1999, this book is the definitive volume on geographical knowledge discovery and data mining from geographical databases. Containing contributions by many of the World's leading experts, the book's release is timely as there is virtually nothing else published yet for those working on these systems. The contributors span geographic information science, geography and computer science, providing the proper interdisciplinary scope for this emerging field.

  Geographic Information Analysis

This book presents the spatial analytical foundation of geographic information systems which are instrumental to the emergent study of GIScience. This book covers spatial concepts such as points, lines, areas and surfaces, and analytical techniques such as projection, nearest neighbor, fractals, triangulation, and geostatistics. A practical book for students, as well as a valuable resource for researchers and professionals in the industry. Provides clear, up to date coverage of methods for analyzing geographical information in a GIS context.

  Geographical Data Acquisition

This book is dedicated to the theory and methodology of geographical data acquisition, providing comprehensive coverage ranging from the definition of geo-referencing systems, transformation between these systems to the acquisition of geographical data using different methods. Emphasis is placed on conceptual aspects, and the book is written in a semi-technical style to enhance its readability. After reading this book, readers should have a rather good understanding of the nature of spatial data, the accuracy of spatial data, and the theory behind various data acquisition methodologies.

  Geographical Data: Characteristics and Sources

This book represents a response to the remarkable growth in the volume of geographical data in recent years, especially in the amount captured directly into a digital format. Information and communication technologies are now the basis for analyzing, handling and visualizing data about the Earth's surface, and Geographical Information Systems (GIS) provide the tools for performing these tasks within the public, private and educational sectors. This book focuses on the principle sources of geographical data and provides a comprehensive overview of their characteristics and analytical capabilities.

  Geostatistics: Modeling Spatial Uncertainty

This book deals with statistical models used to describe natural variables distributed in space or in time and space. It takes a practical, unified approach to geostatistics-integrating statistical data with physical equations and geological concepts while stressing the importance of an objective description based on empirical evidence.

  GIS Data Sources

Explains geographic information system (GIS) data sources, how to find them, and how to determine the right sources for a given project. Begins with a thorough review of basic GIS data types and groups, then shows how to define specific data needs for a project and accurately envision how the data will look and act once it is applied. Presents a wealth of data sources, with guidance on creating original data and information on applications for different types of data. There is also technical information on data formats, media, compression, and downloading. Includes appendices of federal, state, local, private, and foreign data sources.

  Introduction to Database Systems, 8th edition

Continuing in the eighth edition, An Introduction to Database Systems provides a comprehensive introduction to the now very large field of database systems by providing a solid grounding in the foundations of database technology while shedding some light on how the field is likely to develop in the future. This new edition has been rewritten and expanded to stay current with database system trends.

  Practical Geostatistics 2000

Geostatistics done right. This book addresses geostatistics in mining engineering, hydrology, and other applications. It presents the relevant theory along with the application.

  Practical Geostatistics 2000: Answers to the Exercises

Get inside Isobel and Bill's minds and see how they approach the exercises (& more) in Practical Geostatistics 2000. This is much more than a Solutions book - it gives our approach and our answer to these difficult real problems.

  Practical Geostatistics: Modeling and Spatial Analysis

Contents include data types and structures for 3D geostatistics, basic concepts and theory of geostatistics, integration of geology with geostatistics, practical application of geostatistics, geostatistical uncertainty and probability, visualization and spatial analysis, practical data management for geostatistics, and more.

  Quantitative Geography: Perspectives on Spatial Data Analysis

Quantitative Geography is a lucid and comprehensive overview of the use of quantitative methods in spatial data analysis. It focuses on the philosophy informing spatial analysis and demonstrates the significant differences between modern quantitative methods and the methods associated with Geography's 'Quantitative Revolution' in the sixties. The text integrates a discussion of the application of quantitative methods with practical examples, and explains the philosophy of the new quantitative methodologies. Comprising a discussion of specific techniques, Quantitative Geography critically examines the profound difference in the use of those techniques since the Quantitative Revolution. Key issues include: spatial data; geographical information systems; visualization; local analysis; point pattern analysis; spatial regression; and statistical inference.

  Spatial Databases with Application to GIS

Spatial Databases is the first unified, in-depth treatment of special techniques for dealing with spatial data, particularly in the field of geographic information systems (GIS). This book surveys various techniques, such as spatial data models, algorithms, and indexing methods, developed to address specific features of spatial data that are not adequately handled by mainstream DBMS technology. The book also reviews commercial solutions to geographic data handling: ArcInfo, ArcView, and Smallworld GISs; and two extensions to the relational model, PostgreSQL and Oracle Spatial. The authors examine these underlying GIS technologies, assess their strengths and weaknesses, and consider specific uses for which each product is best suited.

  Spatial Databases: A Tour

A textbook for a graduate course on scientific databases for students of computer science and other disciplines. Looking beyond what has now become traditional geographical information systems, it surveys spatial database management systems, emphasizing the object-relational framework that is becoming a clear trend in commercial applications.

  Statistical Methods for Geography

Statistical Methods for Geography is a systematic introduction to the essential techniques that all students must understand to complete a module in statistical analysis. It provides an integrated overview of spatial data and spatial data analysis. Key features include: - An applied focus on methods for geographers: the text presents a detailed discussion of regression analysis and autocorrelation - the principal methods of statistical inference used in geography - An introduction to the principles of spatial analysis and spatial patterns, including probability and probability models; hypothesis testing and sampling; analysis of variance; point patterns; and patterns in aerial data. The text concludes with an overview of data reduction techniques - Unlike other introductory primers, Statistical Methods for Geography includes self-assessment exercises - with downloadable data sets - at the end of each chapter.

  Temporal Geographical Information Systems: Advanced Functions for Field-Based Applications

This book focuses on advanced functions of field-based Temporal Geographical Information Systems (TGIS). The fields describe natural, epidemiological, economic, and social phenomena distributed across space and time. The book is organized around 4 main themes: concepts, mathematical tools, computer programs, and applications. Chapters I and II review the conceptual framework of modern TGIS and introduce fundamental ideas of spatiotemporal modeling. Chapter III discusses knowledge synthesis issues. Chapter IV presents state-of-the-art mathematical tools of scientific mapping. Bayesian maximum entropy (BME) offers significant improvements in TGIS. Chapter V analyzes interpretive features of advanced TGIS functions and their extensions. Chapters VI and VII familiarize the reader with the TGIS toolbox and the associated library of computer programs. Chapter VIII discusses applications in scientific hypothesis testing, explanation, and decision-making.

  Time-integrative Geographic Information Systems - Management and Analysis of Spatio-Temporal Data

The book deals with the integration of temporal information in Geographic Information Systems (GIS). The main purpose of a temporal or time-integrative GIS is to reproduce spatio-temporal processes or sequences of events of the real world in a model in such a way as to make them accessible for spatial query, analysis and visualization. The volume reflects theoretical thoughts on the interrelations of space and time and includes practical examples taken from various fields of application (spatial/environmental analysis, demographics, history, business data warehousing).

  Uncertainty in Geographical Information

As Geographical Information Systems (GIS) have developed and their applications have been extended, the issue of uncertainty has become increasingly recognized. Users need to be well aware of the likely impacts of uncertainties in spatial analysis and decision-making. The book discusses theoretical and practical aspects of spatial data processing and uncertainties, covers a wide range of types of errors and fuzziness and emphasizes description and modeling.

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