Geographic Data Mining and Knowledge Discovery: 2nd Edition (Hardback) book cover

Geographic Data Mining and Knowledge Discovery

2nd Edition

Edited by Harvey J. Miller, Jiawei Han

CRC Press

486 pages | 162 B/W Illus.

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pub: 2009-05-27
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Description

The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases

Since the publication of the first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and geovisualization (GVis) have been developed. In addition, there has been a rise in the use of knowledge discovery techniques due to the increasing collection and storage of data on spatiotemporal processes and mobile objects. Incorporating these novel developments, this second edition reflects the current state of the art in the field.

New to the Second Edition

  • Updated material on geographic knowledge discovery (GKD), GDW research, map cubes, spatial dependency, spatial clustering methods, clustering techniques for trajectory data, the INGENS 2.0 software, and GVis techniques
  • New chapter on data quality issues in GKD
  • New chapter that presents a tree-based partition querying methodology for medoid computation in large spatial databases
  • New chapter that discusses the use of geographically weighted regression as an exploratory technique
  • New chapter that gives an integrated approach to multivariate analysis and geovisualization
  • Five new chapters on knowledge discovery from spatiotemporal and mobile objects databases

Geographic data mining and knowledge discovery is a promising young discipline with many challenging research problems. This book shows that this area represents an important direction in the development of a new generation of spatial analysis tools for data-rich environments. Exploring various problems and possible solutions, it will motivate researchers to develop new methods and applications in this emerging field.

Reviews

"… This book is about the rapidly growing field of geographic data mining—systematic procedures for searching through these vast resources in support of science, intelligence-gathering, and decision-making. It includes chapters on new methods of visualization and statistical analysis that together can produce new geographic knowledge out of the vast unorganized morass of information that is now available to us. This second edition of a work that first appeared in 2001 gives an essential and detailed update on developments in a rapidly advancing field."

—Michael Goodchild, University of California, Santa Barbara, USA

Table of Contents

Introduction

Harvey J. Miller and Jiawei Han

Spatiotemporal Data Mining Paradigms and Methodologies

John F. Roddick and Brian G. Lees

Fundamentals of Spatial Data Warehousing for Geographic Knowledge Discovery

Yvan Bédard and Jiawei Han

Analysis of Spatial Data with Map Cubes: Highway Traffic Data

Chang-Tien Lu, Arnold P. Boedihardjo, and Shashi Shekhar

NEW! Data Quality Issues and Geographic Knowledge Discovery

Marc Gervais, Yvan Bedard, Marie-Andree Levesque, Eveline Bernier, and Rodolphe Devillers

Spatial Classification and Prediction Models for Geospatial Data Mining

Shashi Shekhar, Ranga Raju Vatsavai, and Sanjay Chawla

An Overview of Clustering Methods in Geographic Data Analysis

Jiawei Han, Jae-Gil Lee, and Micheline Kamber

NEW! Computing Medoids in Large Spatial Datasets

Kyriakos Mouratidis, Dimitris Papadias, Spiros Papadimitriou

NEW! Looking for a Relationship? Try GWR

A. Stewart Fotheringham, Martin Charlton, and Urška Demšar

Leveraging the Power of Spatial Data Mining to Enhance the Applicability of GIS Technology

Donato Malerba, Antonietta Lanza, and Annalisa Appice

Visual Exploration and Explanation in Geography: Analysis with Light

Mark Gahegan

NEW! Multivariate Spatial Clustering and Geovisualization

Diansheng Guo

NEW! Toward Knowledge Discovery about Geographic Dynamics in Spatiotemporal Databases}

May Yuan

NEW! The Role of a Multitier Ontological Framework in Reasoning to Discover Meaningful Patterns of Sustainable Mobility

Monica Wachowicz, Jose Macedo, Chiara Renso, and Arend Ligtenberg

NEW! Periodic Pattern Discovery from Trajectories of Moving Objects

Huiping Cao, Nikos Mamoulis, and David W. Cheung

NEW! Decentralized Spatial Data Mining for Geosensor Networks

Patrick Laube and Matt Duckham

NEW! Beyond Exploratory Visualization of Space-Time Paths

Menno-Jan Kraak and Otto Huisman

About the Series

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
COM012040
COMPUTERS / Programming / Games
COM021030
COMPUTERS / Database Management / Data Mining
TEC036000
TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems