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Visual and Spatial Analysis (Hardcover)

by Boris Kovalerchuk (Editor), James Schwing (Editor) "Visual problem solving has been known for millennia as both great success and failure in science, mathematics, and technology..."

Advanced visual analysis and problem solving has been conducted successfully for millennia. The Pythagorean Theorem was proven using visual means more than 2000 years ago. In the 19th century, John Snow stopped a cholera epidemic in London by proposing that a specific water pump be shut down. He discovered that pump by visually correlating data on a city map. The goal of this book is to present the current trends in visual and spatial analysis for data mining, reasoning, problem solving and decision-making. This is the first book to focus on visual decision making and problem solving in general with specific applications in the geospatial domain - combining theory with real-world practice. The book is unique in its integration of modern symbolic and visual approaches to decision making and problem solving. As such, it ties together much of the monograph and textbook literature in these emerging areas.

This book contains 21 chapters that have been grouped into five parts: (1) visual problem solving and decision making, (2) visual and heterogeneous reasoning, (3) visual correlation, (4) visual and spatial data mining, and (5) visual and spatial problem solving in geospatial domains. Each chapter ends with a summary and exercises.

The book is intended for professionals and graduate students in computer science, applied mathematics, imaging science and Geospatial Information Systems (GIS). In addition to being a state-of-the-art research compilation, this book can be used a text for advanced courses on the subjects such as modeling, computer graphics, visualization, image processing, data mining, GIS, and algorithm analysis.

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Mirror

This has turned out to be a most interesting book. Thanks a lot!

Thank you!

The diagrams on the scanned pages in this DJVU file are difficult to read without magnification. Being scanned pages, you can't search for text and there seems no index or glossary at the back, though the contents at the beginning are detailed enough. There are several typos and ungrammatical sentences. The book is heavy going at times and is not one to read if you are sleepy. The authors seem to make unwarranted assertions at times. However...

Professor Boris Kovalerchuk is the Director of the Imaging Lab, Department of Computer Science, Central Washington University, and has written a book on Data Mining in Finance, so should know what he's talking about, even if his mind seems to be way above ours. This book deserves to be read and thought about carefully, as its subject is a new and fascinating one that will affect us all, directly or indirectly. Take notes as you read, e.g. what does CAHR stand for (p101)? Good news - the drab black and white pics in the book are there in glorious color at the end of the book (p581 onwards). Thanks again Chairman.

I forgot to mention URL of Boris Kovalerchuk's bio:

Maxand, your comments on the book are very good, thanks.

Almost each chapter of the book is a separate work of different co-authors. That is why you can find an answer for your question within the scope of the specific part of the book. For example you can see that CAHR is A Computational Architecture for Heterogeneous Reasoning in the beginning of Chapter 4 (page 79). To make the search available I should use OSR software. Good task for a future.

Black and white pictures have not good quality in the original but color plates are better there.

Thank you Maxand for having a direct interest in the book and for your comments.

You can send me a message if you need to discuss something.

Almost each chapter of the book is a separate work of different co-authors. That is why you can find an answer for your question within the scope of the specific part of the book. For example you can see that CAHR is A Computational Architecture for Heterogeneous Reasoning in the beginning of Chapter 4 (page 79). To make the search available I should use OSR software. Good task for a future.

Black and white pictures have not good quality in the original but color plates are better there.

Thank you Maxand for having a direct interest in the book and for your comments.

You can send me a message if you need to discuss something.

"

Rating:
2.5 out of 5 by Book123