
( Isbn-10: 074840743x ), ( Isbn-13: 9780748407439 ), ( Author: Michael F. Goodchild ), ( Format: Book ), ( Publication Year: 1998 ), ( Language: English )
Propagation Error in GIS: Modeling and Analysis of Uncertainty in Spatial Data is an in-depth exploration of a fundamental concept in Geographical Information Systems (GIS) - propagation of error. This hardcover book, authored by Dr. Jaap Hesseling, provides a comprehensive understanding of how errors in input data propagate through various GIS operations and analyses.
The book begins by introducing the concept of error propagation in GIS, explaining its implications and importance in spatial data analysis. It delves into the sources of error in GIS data, including measurement errors, modeling errors, and data entry errors. The author then explores various methods for quantifying and propagating errors, including Monte Carlo simulation, uncertainty analysis, and sensitivity analysis.
The book is not just theoretical but also provides practical examples and case studies, illustrating the application of error propagation concepts in real-world GIS projects. It covers a wide range of topics, including geostatistical analysis, spatial interpolation, spatial modeling, and spatial data integration.
The hardcover edition of Propagation Error in GIS is a valuable resource for GIS professionals, researchers, students, and anyone working with spatial data. It provides a solid foundation in error propagation analysis, enabling users to make more informed decisions and produce more accurate results in their GIS projects. The book is also well-written, making complex concepts easy to understand, and is richly illustrated with figures and diagrams.
In summary, Propagation Error in GIS: Modeling and Analysis of Uncertainty in Spatial Data is an essential addition to any GIS professional's library. It offers a comprehensive and practical guide to error propagation in GIS, providing the knowledge and tools needed to ensure the accuracy and reliability of spatial data analysis.
1. Comprehensive: The book provides a detailed understanding of propagation error in GIS and its impact on environmental modeling. It covers various aspects such as error sources, propagation mechanisms, and error reduction techniques.
2. Practical: The book includes numerous real-world examples and case studies, making the concepts easier to understand and apply.
3. Authoritative: The author is a renowned expert in the field of GIS and environmental modeling, ensuring the accuracy and relevance of the information presented.
4. Well-structured: The book is divided into clear chapters, making it easy to follow and understand the concepts step-by-step.
Cons:1. Advanced Level: The book is primarily intended for professionals and advanced students in the field of GIS and environmental modeling. It may be challenging for beginners.
2. Technical Language: The book uses technical language and mathematical equations, which may be difficult for some readers to grasp without prior knowledge.
3. Limited Scope: While the book covers propagation error in GIS, it does not delve into other related topics such as data quality and uncertainty analysis in depth.
Conclusion:Propagation Error in GIS: Modeling Environmental Systems is a valuable resource for professionals and advanced students in the field of GIS and environmental modeling. It provides a detailed understanding of propagation error and its impact on environmental modeling. However, its advanced level and technical language may make it challenging for beginners.
Recommendation:If you are a professional or advanced student in the field of GIS and environmental modeling, this book is highly recommended. It will provide you with a comprehensive understanding of propagation error and its impact on environmental modeling. If you are a beginner, it would be beneficial to start with a more introductory book on GIS and environmental modeling before moving on to this advanced text.
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