Geographic Data Mining and Knowledge Discovery
2nd Edition
Published on 27. May 2009
486 pages
978-1-040-17904-8 (ISBN)
Description
The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal DatabasesSince 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 bee
Reviews / Votes
"... 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
More details
Series
Edition
2nd edition
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
File size
20,27 MB
ISBN-13
978-1-040-17904-8 (9781040179048)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Harvey J. Miller | Jiawei Han
Geographic Data Mining and Knowledge Discovery
Book
05/2009
2nd Edition
CRC Press
€198.00
Shipment within 15-20 days
Content
Introduction. Spatiotemporal Data Mining Paradigms and Methodologies. Fundamentals of Spatial Data Warehousing for Geographic Knowledge Discovery. Analysis of Spatial Data with Map Cubes: Highway Traffic Data. Data Quality Issues and Geographic Knowledge Discovery. Spatial Classification and Prediction Models for Geospatial Data Mining. An Overview of Clustering Methods in Geographic Data Analysis. Computing Medoids in Large Spatial Datasets. Looking for a Relationship? Try GWR. Leveraging the Power of Spatial Data Mining to Enhance the Applicability of GIS Technology. Visual Exploration and Explanation in Geography: Analysis with Light. Multivariate Spatial Clustering and Geovisualization. Toward Knowledge Discovery about Geographic Dynamics in Spatiotemporal Databases. The Role of a Multitier Ontological Framework in Reasoning to Discover Meaningful Patterns of Sustainable Mobility. Periodic Pattern Discovery from Trajectories of Moving Objects. Decentralized Spatial Data Mining for Geosensor Networks. Beyond Exploratory Visualization of Space-Time Paths.
