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.
General
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