This 1st volume encourages adaptive activities among experts employed in interdisciplinary fields, from data mining and machine learning to environmental science by linking geospatial computational intelligence technology to forest, land and water issues.
- Presents theoretical context and practical solutions for understanding the current knowledge and where future efforts should be directed
- Includes case studies in each chapter demonstrating the use of geospatial technologies
- Offers an interdisciplinary approach to addressing susceptibility and achieving sustainability
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