Spatial And Temporal Data Mining With Applications To Earth Science Data

Spatial and Temporal Data Mining with Applications to Earth Science Data

Temporal, Spatial, and Spatio-Temporal Data Mining

This volume contains updated versions of the ten papers presented at the First International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining (TSDM 2000) held in conjunction with the 4th European Conference on Prin- ples and Practice of Knowledge Discovery in Databases (PKDD 2000) in Lyons, France in September, 2000. The aim of the workshop was to bring together experts in the analysis of temporal and spatial data mining and knowledge discovery in temporal, spatial or spatio-temporal database systems as well as knowledge engineers and domain experts from allied disciplines. The workshop focused on research and practice of knowledge discovery from datasets containing explicit or implicit temporal, spatial or spatio-temporal information. The ten original papers in this volume represent those accepted by peer review following an international call for papers. All papers submitted were refereed by an international team of data mining researchers listed below. We would like to thank the team for their expert and useful help with this process. Following the workshop, authors were invited to amend their papers to enable the feedback received from the conference to be included in the ?nal papers appearing in this volume. A workshop report was compiled by Kathleen Hornsby which also discusses the panel session that was held.

Spatiotemporal Patterns in Earth Sciences

Spatiotemporal patterns are ubiquitous in nature and society. From the daily cycle of day and night to the seasonal changes of the Earth's climate, from the distribution of species in a forest to the spread of disease through a population, spatiotemporal patterns shape our world and our lives. This book provides a comprehensive introduction to the study of spatiotemporal patterns, covering the fundamental concepts, methods, and applications of this exciting field. With a focus on real-world examples and applications, this book is written in a clear and accessible style, making it ideal for students, researchers, and practitioners in a variety of disciplines. **Key Features:** * Comprehensive coverage of the fundamental concepts, methods, and applications of spatiotemporal analysis * Clear and accessible writing style, with a focus on real-world examples and applications * No prior knowledge of statistics or mathematics is assumed * Suitable for a broad audience, including students, researchers, and practitioners in a variety of disciplines **Topics Covered:** * The nature of spatiotemporal patterns * Modeling spatiotemporal patterns * Spatiotemporal patterns in earth sciences * Spatiotemporal patterns in environmental sciences * Spatiotemporal patterns in social sciences * Spatiotemporal patterns in health sciences * Spatiotemporal patterns in engineering * Spatiotemporal patterns in computer science * Spatiotemporal patterns in mathematics * Spatiotemporal patterns in physics This book is an essential resource for anyone interested in the study of spatiotemporal patterns. It provides a solid foundation for further research and applications in a wide range of disciplines. If you like this book, write a review!