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more ef cient ways to respond to, recover from, mitigate, prevent, and/or model hazard and disaster events in urban settings. Therefore, this;
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geovisualization. The book also covers applied interdisciplinary research examples ranging from disaster management, public health, urban geography, and;
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The Routledge Handbook of Urban Disaster Resilience emphasizes the intersection of urban planning and hazard mitigation as critical for;
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Hazard Analysis Updated text covers introduction, theory, and detailed description of many different hazard analysis techniques and explains;
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management, as well as geospatial technologies and their applications * Reviews the elements of hazard models and the relative strengths and;
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, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code;
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risk of disasters resulting from natural hazards. The intensity and frequency of climate-related hazards are increasing, further exacerbating;
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Focused on Dhaka, and applicable to other cities, this book uses geospatial techniques to explore land use, climate variability, urban;
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This book is devoted to theoretical and conceptual aspects of disaster management, risk assessment, hazard minimisation and vulnerability;
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This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and;
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This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and;
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them to management tools and techniques they need to arrive at a successful conclusion. The excitement and intensity of Multi-Hazard Disaster;
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Spatial analysis refers to the set of analytical approaches and techniques concerned with the study of geographical elements and entities;
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prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area. It;
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geospatial analysis can be a useful tool for planners and decision makers to help in ascertaining patterns of activities and support urban planning;
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sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and;
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severity of natural disasters, with further increases expected as the climate continues to change. However, advanced computational and geospatial;
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Case Studies in Disaster Mitigation and Prevention: Disaster and Emergency Management: Case Studies in Adaptation and Innovation series;
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tracking and for storm chasing In Detail Geospatial Analysis is used in almost every field you can think of from medicine, to defense, to;
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intelligence it can provide to their models. This book demonstrates effective techniques for using the power of data science and geospatial;
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A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as;
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Social Network Analysis of Disaster Response, Recovery, and Adaptation covers systematic social network analysis and how people and;
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Disaster management is generally understood to consist of four phases: mitigation, preparedness, response and recovery. While these phases;
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Disaster management is generally understood to consist of four phases: mitigation, preparedness, response and recovery. While these phases;
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This is a tutorial-style book that helps you to perform Geospatial and GIS analysis with Python and its tools/libraries. This book will;
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