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This book explores the concepts, premises, advancements, and challenges in quantifying natural forest landscape patterns through mapping techniques. After several decades of development and use, these tools can now be examined for their foundations, intentions, scope, advancements, and limitations. When applied to natural forest landscapes, mapping techniques must address concepts such as stochasticity, heterogeneity, scale dependence, non-Euclidean geometry, continuity, non-linearity, and parsimony, as well as be explicit about the intended degree of abstraction and assumptions. These studies focus on quantifying natural (i.e., non-human engineered) forest landscape patterns, because those patterns are not planned, are relatively complex, and pose the greatest challenges in cartography, and landscape representation for further interpretation and analysis.
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. Whil...
The book comprehensively covers a wide range of evolutionary computer vision methods and applications, feature selection and extraction for training and classification, and metaheuristic algorithms in image processing. It further discusses optimized image segmentation, its analysis, pattern recognition, and object detection. Features: Discusses machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing. Covers deep learning algorithms in computer vision. Showcases novel solutions such as multi-resolution analysis in imaging processing, and metaheuristic algorithms for tackling challenges associated with image processing. Highlight optimi...
The Handbook provides a supporting guide to key aspects and applications of landscape ecology to underpin its research and teaching. A wide range of contributions written by expert researchers in the field summarize the latest knowledge on landscape ecology theory and concepts, landscape processes, methods and tools, and emerging frontiers. Landscape ecology is an interdisciplinary and holistic discipline, and this is reflected in the chapters contained in this Handbook. Authors from varying disciplinary backgrounds tackle key concepts such as landscape structure and function, scale and connectivity; landscape processes such as disturbance, flows, and fragmentation; methods such as remote se...
Winner of the 2022 CIES Jackie Kirk Outstanding Book Award Higher education is increasingly recognized as crucial for the livelihoods of refugees and displaced populations caught in emergencies and protracted crises, to enable them to engage in contemporary, knowledge-based, global society. This book tells the story of the Borderless Higher Education for Refugees (BHER) project which delivers tuition-free university degree programs into two of the largest protracted refugee camps in the world, Dadaab and Kakuma in Kenya. Combining a human rights approaches, critical humanitarianism and a concern with gender relations and intersecting inequalities, the book proposes that higher education can provide refugees with the possibility of staying put or returning home with dignity. Written by academics based in Canada, Kenya, Somalia and the USA, as well as NGO workers and students from the camps, the book demonstrates how North-South and South-South collaborations are possible and indeed productive.
This book provides an overview of research in the field of spatial data quality, which looks at understanding, measuring, describing, and communicating information about the imperfections of geographic data used by GIS and other mapping software. It presents results from a number of research projects in this area, from the assessment of data accuracy to legal aspects relating to the quality of geographic information. The international contributors focus on the relationship between the quality of geographic data and the quality of decisions based on such data.
The Forest Management Guide for Natural Disturbance Pattern Emulation (NDPE), which has been applied in Ontario since 2003, specifies directions and provides standards and guidance to emulate fire disturbances. Included in the NDPE guide are specific directions about the amount of residual structure to be retained during forest harvest. Improved understanding of the characteristics of post-fire residual structure in natural conditions will help forest policymakers to provide better strategic guidance for emulating natural fire disturbance patterns during forest harvesting, and forest managers to make better tactical decisions about retaining post-harvest residual structure to emulate fire disturbances. The objective of this report is to characterize the extent and variability of post-fire residual patch occurrence in natural boreal forest fire events to better understand their extent and spatial patterns and to relate these results to the directions provided in Ontario's NDPE guide.--Document.