Advertisement

Visual and Spatial Analysis

Advances in Data Mining, Reasoning, and Problem Solving

  • Boris Kovalerchuk
  • James Schwing

Table of contents

  1. Front Matter
    Pages i-xx
  2. Visual Problem Solving And Decision Making

    1. Boris Kovalerchuk
      Pages 3-30
    2. Stephen G. Eick
      Pages 31-45
  3. Visual And Heterogeneous Reasoning

  4. Visual Correlation

    1. Boris Kovalerchuk
      Pages 175-205
    2. Boris Kovalerchuk, Jon Brown, Michael Kovalerchuk
      Pages 231-262
  5. Visual And Spatial Data Mining

    1. Pak Chung Wong, Harlan Foote, Dan Adams, Wendy Cowley, L. Ruby Leung, Jim Thomas
      Pages 265-291
    2. Vitaly Schetinin, Joachim Schult, Anatoly Brazhnikov
      Pages 335-370
    3. Evgenii Vityaev, Boris Kovalerchuk
      Pages 371-386
    4. Boris Kovalerchuk, Florian Delizy
      Pages 387-406
  6. Visual And Spatial Problem Solving In Geospatial Domains

    1. Boris Kovalerchuk, James Schwing, William Sumner
      Pages 409-434
    2. George G. He, Boris Kovalerchuk, Thomas Mroz
      Pages 435-472
    3. Boris Kovalerchuk, James Schwing, William Sumner, Richard Chase
      Pages 473-508
    4. Boris Kovalerchuk, Artemus Harper, Michael Kovalerchuk, Jon Brown
      Pages 537-560
  7. Back Matter
    Pages 561-576

About this book

Introduction

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.

Keywords

algebra algorithms computer graphics computer science data mining graphics image processing information system information visualization mathematics modeling presentation problem solving technology visualization

Editors and affiliations

  • Boris Kovalerchuk
    • 1
  • James Schwing
    • 1
  1. 1.Central Washington UniversityEllensburgUSA

Bibliographic information