This book discusses the application of Geospatial data, Geographic Information System (GIS) and Remote Sensing (RS) technologies in analysis and modeling of urban growth process, and its pattern, with special focus on sprawl and compact form of urban development. The book explains these two kinds of urban forms (sprawl and compact urban development) in detail regarding their advantages, disadvantages, indicators, assessment, modeling, implementation and their relationship with urban sustainability. It confirms that the proposed modeling approaches, geospatial data and GIS are very practical for identifying urban growth, land use change patterns and their general trends in future. The analyses and modeling approaches presented in this book can be employed to guide the identification and measurements of the changes and growth likely to happen in urban areas. In addition, this book can be helpful for town planning and development in order to design urban areas in a compact form and eventually sustainable manner.

Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example

Remote Sensing and GIS in Peri-Urban Research: Perspectives on Global Change, Sustainability and Resilience, Eleventh Edition provides the most recent methods and techniques, incorporating geoinformatics-based practices to map, evaluate, and model urban landscape attributes and changes. The book provides theory, methodology, and future perspectives of remote sensing and GIS techniques applied to peri-urban modelling, analysis and sustainability through the use of spatio-temporal geospatial datasets. It also includes case studies of real-world data sets, with applicable algorithms, techniques and methods for study. This will be a useful reference for researchers and academics in remote sensing, GIS, and spatial analysis, and environmental or urban scientists wanting to implement remote sensing technologies in their research. - Outlines applications of geospatial technologies for visualization of land use dynamics including spatial information about population distributions, built-up areas and degree of urbanization based on global and local datasets - Provides methodology for identification of peri-urban interfaces using techniques to identify peri-urban space and dynamics using remote sensing and GIS techniques - Includes worldwide case studies by experts from different countries increasing the understanding of the nature of global peri-urbanization and growth

This book has been prepared to embody the major and efficient applications of the different duties and the role of sustainability in urban planning and design, by a new reading of the city structure and composition, as well as offering a solid and clear concept for this kind of science. The book aims to illustrate various theories and methods of the treatment of the modern ideas of metropolitan life. The book is divided into two parts and contains 23 chapters.

As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

The school of thought surrounding the urban ecosystem has increasingly become in vogue among researchers worldwide. Since half of the world’s population lives in cities, urban ecosystem services have become essential to human health and wellbeing. Rapid urban growth has forced sustainable urban developers to rethink important steps by updating and, to some degree, recreating the human–ecosystem service linkage. Assessing, as well as estimating the losses of ecosystem services can denote the essential effects of urbanization and increasingly indicate where cities fall short. This book contains 13 thoroughly refereed contributions published within the Special Issue “Urban Ecosystem Services”. The book addresses topics such as nature-based solutions, green space planning, green infrastructure, rain gardens, climate change, and more. The contributions highlight new findings for landscape architects, urban planners, and policymakers. Important future cities research is considered by looking at the system connectivity between the social and ecological sphere—via varying forms of urban planning, management, and governance. The book is supported by methods and models that utilize an urban sustainability and ecosystem service-centric focus by adding knowledge-base and real-world solutions into the urbanization phenomenon.

This book explores the role of cities and the urban–rural linkages in spurring innovation embedded in spatial planning, strategic and economic planning, and decision support systems. In particular, the contributions examine the complexity of the current transitional phase towards achieving smart, inclusive and sustainable growth, and investigate the post-2020 UE cohesion policy.The main topics include: Innovation dynamics and smart cities; Urban regeneration – community-led and PPP; Inland and urban area development; Mobility, accessibility, infrastructures; Heritage, landscape and Identity; and Risk management, Environment and Energy.The book includes a selection of articles accepted for presentation and discussion at the 3rd International Symposium New Metropolitan Perspectives (ISTH2020), held at the University of Reggio Calabria, Italy on 22–25 May 2018. The symposium, which addressed the challenge of local knowledge and innovation dynamics towards territory attractiveness, hosted the final event of the MAPS-LED project under Horizon2020 – MSCA RISE.