Contribution to Book
Introduction to Markov Models
Learning Landscape Ecology
(2002)
Abstract
This title meets a great demand for training in spatial analysis tools accessible to a wide audience. Landscape ecology continues to grow as an exciting discipline with much to offer for solving pressing and emerging problems in environmental science. Much of the strength of landscape ecology lies in its ability to address challenges over large areas, over spatial and temporal scales at which decision-making often occurs. As the world tackles issues related to sustainability and global change, the need for this broad perspective has only increased. Furthermore, spatial data and spatial analysis (core methods in landscape ecology) are critical for analyzing land-cover changes world-wide. While spatial dynamics have long been fundamental to terrestrial conservation strategies, land management and reserve design, mapping and spatial themes are increasingly recognized as important for ecosystem management in aquatic, coastal and marine systems.
Keywords
- Landscape ecology
Disciplines
Publication Date
January 1, 2002
Editor
Sarah E. Gergel and Monica G. Turner
Publisher
Springer
DOI
10.1007/978-1-4939-6374-4_8
Citation Information
Dean L. Urban and David O. Wallin. "Introduction to Markov Models" Learning Landscape Ecology (2002) p. 129 - 142 Available at: http://works.bepress.com/david_wallin/29/