2nd Edition

Geographic Data Mining and Knowledge Discovery

Edited By Harvey J. Miller, Jiawei Han Copyright 2009
    486 Pages 162 B/W Illustrations
    by CRC Press

    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.

    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


    Jiawei Han, Harvey J. Miller

    "… 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