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GIS in Sustainable Urban Planning and Management A Global Perspective

GIS in Sustainable Urban Planning and Management A Global Perspective

The Open Access version of this book available at http://www. tandfebooks. com/doi/view/10. 1201/9781315146638 has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 3. 0 license. GIS is used today to better understand and solve urban problems. GIS in Sustainable Urban Planning and Management: A Global Perspective explores and illustrates the capacity that geo-information and GIS have to inform practitioners and other participants in the processes of the planning and management of urban regions. The first part of the book addresses the concept of sustainable urban development its different frameworks the many ways of measuring sustainability and its value in the urban policy arena. The second part discusses how urban planning can shape our cities examines various spatial configurations of cities the spread of activities and the demands placed on different functions to achieve strategic objective. It further focuses on the recognition that urban dwellers are increasingly under threat from natural hazards and climate change. Written by authors with expertise on the applications of geo-information in urban management this book showcases the importance of GIS in better understanding current urban challenges and provides new insights on how to apply GIS in urban planning. It illustrates through real world cases the use of GIS in analyzing and evaluating the position of disadvantaged groups and areas in cities and provides clear examples of applied GIS in urban sustainability and urban resilience. The idea of sustainable development is still very much central in the new development agenda of the United Nations and in that sense it is of particular importance for students from both the Global South and Global North. Professionals researchers and students alike will find this book to be an invaluable resource for understanding and solving problems relating to sustainable urban planning and management. | GIS in Sustainable Urban Planning and Management A Global Perspective

GBP 42.99
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Enterprise GIS Concepts and Applications

GIS Cartography A Guide to Effective Map Design Third Edition

GIS Cartography A Guide to Effective Map Design Third Edition

Since the publication of the bestselling second edition 5 years ago vast and new globally-relevant geographic datasets have become available to cartography practitioners and with this has come the need for new ways to visualize them in maps as well as new challenges in ethically disseminating the visualizations. With new features and significant updates that address these changes this edition remains faithful to the original vision that cartography instruction should be software agnostic. Discussing map design theory and technique rather than map design tools this book focuses on digital cartography and its best practices. This third edition has completely new sections on how to deal with maps that go viral and the ethics therein; new presentation ideas; new features such as amenities climate data and hazards; the new Equal Earth projection; and vector tile design considerations. All chapters are thoroughly updated with new illustrations and new sections for datasets that didn’t exist when the second edition was published as well as new techniques and trends in cartography. New in the third edition: A true textbook written with a friendly style and excellent examples explaining everything from layout design to fonts and colors to specific design considerations for individual feature types to static and dynamic cartography issues. Thoroughly updated with new features such as points of interest climate data hazards and buildings; new projections such as the Equal Earth projection and the Spilhaus projection; and vector tile design considerations such as label placement techniques and tricks for making world-class basemaps. Includes over 70 new map examples that display the latest techniques in cartography. Reflects on new developments in color palettes; visualization patterns; datums; and non-static output media such as animation interaction and large-format cinematic techniques that weren’t available for the second edition. Defines and illustrates new terms that have made their way into the profession over the last few years such as story maps flow maps Dorling cartograms spec sheets bivariate choropleths firefly cartography Tanaka contours and value-by-alpha. In this third edition author Gretchen Peterson takes a don’t let the technology get in the way approach to the presentation focusing on the elements of good design what makes a good map and how to get there rather than specific software tools. She provides a reference that you can thumb through time and again as you create your maps. Copiously illustrated the third edition explores novel concepts that kick-start your pursuit of map-making excellence. The book doesn’t just teach you how to design and create good maps it teaches you how to design and create superior maps. | GIS Cartography A Guide to Effective Map Design Third Edition

GBP 39.99
1

Spatial Statistics GeoSpatial Information Modeling and Thematic Mapping

Spatial Statistics GeoSpatial Information Modeling and Thematic Mapping

Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the landscape scale. Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping reviews the types and applications of geospatial information data such as remote sensing geographic information systems (GIS) and GPS as well as their integration into landscape-scale geospatial statistical models and maps. The book explores how to extract information from remotely sensed imagery GIS and GPS and how to combine this with field data—vegetation soil and environmental—to produce a spatial model that can be reconstructed and displayed using GIS software. Readers learn the requirements and limitations of each geospatial modeling and mapping tool. Case studies with real-life examples illustrate important applications of the models. Topics covered in this book include:An overview of the geospatial information sciences and technology and spatial statistics Sampling methods and applications including probability sampling and nonrandom sampling and issues to consider in sampling and plot design Fine and coarse scale variabilitySpatial sampling schemes and spatial patternLinear and spatial correlation statistics including Moran’s I Geary’s C cross-correlation statistics and inverse distance weightingGeospatial statistics analysis using stepwise regression ordinary least squares (OLS) variogram kriging spatial auto-regression binary classification trees cokriging and geospatial models for presence and absence data How to use R statistical software to work on statistical analyses and case studies and to develop a geospatial statistical model | Spatial Statistics GeoSpatial Information Modeling and Thematic Mapping

GBP 42.99
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Deep Learning for Remote Sensing Images with Open Source Software

Deep Learning for Remote Sensing Images with Open Source Software

In today’s world deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing including landcover mapping forestry urban studies disaster mapping image restoration etc. Written with practitioners and students in mind this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public free available data (Spot-7 and Sentinel-2 images OpenStreetMap vector data) using open source software (QGIS Orfeo ToolBox TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world mainly for landcover mapping but also for generic approaches (e. g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.

GBP 31.99
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Electric Field Analysis