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Author: Charles Mundia
Publisher: LAP Lambert Academic Publishing
ISBN: 9783843383141
Category : City planning
Languages : en
Pages : 156
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Book Description
Geo spatial data and information are increasingly being used by different professionals to analyze and model different phenomena. This book looks at spatial analysis and modeling of urban growth using Cellular Automata, Remote Sensing, and Geographical Information System, with a particular emphasis on cities experiencing rapid spatial expansions. The book takes a critical look at the dynamics of spatial-temporal patterns of land use/land cover, and discusses urban growth issues and the need for urban management tools that can provide different perspective scenarios. Urban growth geosimulation that integrates social-economic and biophysical factors with dynamic spatial modeling is described. This is necessary for monitoring urban development processes, planning for urban service provision and managing urban planning information. This book illustrates through case studies, how spatial analysis and modeling built around GIS, can be used to identify ways in which cities may be better planned and managed.The book will be valuable reading for researchers, regional analysts, planners, policy makers, business analysts and geodemographers among many other professionals.
Author: Charles Mundia
Publisher: LAP Lambert Academic Publishing
ISBN: 9783843383141
Category : City planning
Languages : en
Pages : 156
Get Book Here
Book Description
Geo spatial data and information are increasingly being used by different professionals to analyze and model different phenomena. This book looks at spatial analysis and modeling of urban growth using Cellular Automata, Remote Sensing, and Geographical Information System, with a particular emphasis on cities experiencing rapid spatial expansions. The book takes a critical look at the dynamics of spatial-temporal patterns of land use/land cover, and discusses urban growth issues and the need for urban management tools that can provide different perspective scenarios. Urban growth geosimulation that integrates social-economic and biophysical factors with dynamic spatial modeling is described. This is necessary for monitoring urban development processes, planning for urban service provision and managing urban planning information. This book illustrates through case studies, how spatial analysis and modeling built around GIS, can be used to identify ways in which cities may be better planned and managed.The book will be valuable reading for researchers, regional analysts, planners, policy makers, business analysts and geodemographers among many other professionals.
Author: Yuji Murayama
Publisher: Mdpi AG
ISBN: 9783036525419
Category : Science
Languages : en
Pages : 330
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Book Description
Over the last two decades, many researchers have focused on developing countries' urbanization patterns and processes. In this context, the scarcity of spatial data has been an obstacle to studying urbanization quantitatively, especially in Asian and African cities. The use of remote sensing data and geographical information systems (GIS) techniques can overcome the above limitations. Data on land use and land cover, land surface temperature, population density, and energy consumption can be extracted based on remote sensing at various spatial and temporal resolutions. GIS techniques can be used to analyze urbanization patterns and predict future patterns. Thus, the link between urbanization and sustainable urban development has increasingly become a principal issue in designing and developing sustainable cities at the local, regional, and global levels. This volume shows the spatiotemporal analysis of urbanization using GIS and remote sensing in developing countries, with a special emphasis on future urban sustainability in Asia and Africa. Capturing the spatial-temporal variation of urbanization patterns will help introduce proper sustainable urban planning in developing countries, especially for Asian and African cities.
Author: Biswajeet Pradhan
Publisher: Springer
ISBN: 3319542176
Category : Science
Languages : en
Pages : 337
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Book Description
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.
Author: Basudeb Bhatta
Publisher: Springer Science & Business Media
ISBN: 3642052991
Category : Science
Languages : en
Pages : 191
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Book Description
This book provides a comprehensive discussion on urban growth and sprawl, and how they can be analyzed using remote sensing imageries. It compiles views of numerous researchers that help in understanding the urban growth and sprawl; their patterns, process, causes, consequences, and countermeasures; how remote sensing data and geographic information system techniques can be used in mapping, monitoring, measuring, analyzing, and simulating the urban growth and sprawl and what are the merits and demerits of available methods and models. This book will be of value for the scientists and researchers engaged in urban geographic research, especially using remote sensing imageries. This book will serve as a rigours literature review for them. Post graduate students of urban geography or urban/regional planning may refer this book as additional studies. This book may help the academicians for preparing lecture notes and delivering lectures. Industry professionals may also be benefited from the discussed methods and models along with numerous citations.
Author: Jianquan Cheng
Publisher:
ISBN: 9789061642121
Category : City planning
Languages : en
Pages : 203
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Book Description
Author: Bharath H Aithal
Publisher: CRC Press
ISBN: 1000045420
Category : Law
Languages : en
Pages : 195
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Book Description
This book uses spatio-temporal analysis to understand urbanisation in Indian cities and explain the concept and impact of global greenhouse gas (GHG) emissions. It creates a GHG footprint for Indian cities and engages in a discussion about the United Nations Sustainable Development Goals (SDGs) and smart city initiatives within an Indian context. Understanding the spatial patterns of land use/land cover (LULC) dynamics in the rapidly urbanising cities of India, the readers will be able to simulate future urbanisation patterns and use spatial temporal analysis as a tool for implementing appropriate mitigation measures. Features Analyses the complete urbanisation and urban sprawl of major cities in India using advanced geospatial modelling techniques Highlights the best practices and methods used in modelling urban growth Discusses greenhouse gas emissions from various sectors and their effects in local environments Addresses the increase of local temperature in cities due to unplanned land use change and its impact on environmental sustainability and resilience Fills the need for data-driven governance and policy decisions by introducing various analyses through spatial mapping Highlighting some of the best practices and tools being used for modelling urban growth through case studies, the book is useful to those interested in using new technologies and methods for data collection and problem solving. It focuses on the major environmental issues in India, which are prevalent in most developing countries.
Author: Bin Jiang
Publisher: Springer Science & Business Media
ISBN: 9048185726
Category : Science
Languages : en
Pages : 465
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Book Description
A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography’s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied.
Author: Biao Liu
Publisher: CRC Press
ISBN: 1351966731
Category : Science
Languages : en
Pages : 244
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Book Description
This book proposes a method to solve land use problems, and has made some significant contributions to the land use analysis and optimization study fields. Firstly, three spatio-temporal logit models for land use change analysis, namely, geographically and temporally weighted logit model (GTWLM), spatio-temporal panel logit model (ST-PLM) and generalized spatio-temporal logit model (GSTLM), are proposed. GTWLM, which considers spatio-temporal non-stationarity, includes temporal data in a spatio-temporal framework by proposing a spatiotemporal distance. ST-PLM incorporates the spatio-temporal correlation and individual effect in one model. By integrating GTWLM and ST-PLM, the GSTLM explores spatio-temporal non-stationarity and correlations simultaneously, whilst considering their individual effects to construct an integrated model. Secondly, a MOO-based two-level spatial planning of land use is proposed. The spatial planning aims at managing and coordinating the land use at different geographic extents and involves spatial layouts and structures of land use at different levels. In spatial planning, GIS and Remote Sensing are used to evaluate, analyze, and measure environmental, economic and social issues. The quantitative relationships between these objectives and spatial land use allocation are then used as rules in the MOO process to simulate environmental conditions under different spatial land use allocation scenarios. The book features a case study of Shenzhen city, the most important Special Economic Zone in China. This book will be of interest to academics and professionals in the fields of urban planning, land resource management, remote sensing and geographic information systems.
Author: Jean-Claude Thill
Publisher: Springer
ISBN: 364237896X
Category : Science
Languages : en
Pages : 383
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Book Description
This contributed volume collects cutting-edge research in Geographic Information Science & Technologies, Location Modeling, and Spatial Analysis of Urban and Regional Systems. The contributions emphasize methodological innovations or substantive breakthroughs on many facets of the socio-economic and environmental reality of urban and regional contexts.
Author: Abdul-Fatawu Mohammed
Publisher: GRIN Verlag
ISBN: 3346449890
Category : Political Science
Languages : en
Pages : 80
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Book Description
Master's Thesis from the year 2015 in the subject Urban and Regional Planning, grade: 65.00, University of Twente , language: English, abstract: Focusing on Greater Kumasi Metropolitan Area (GKMA), the fastest growing metropolitan area in Ghana, this study aims to understand the spatio-temporal dynamics of GKMA’s growth, the factors driving this process and to quantify their relative contributions. First, growth patterns during the periods 1986-2001 and 2001-2014 in were analysed. Spatial metrics were used to deepen the understanding of the patterns of growth. This revealed that of the three growth types identified in both periods, edge-expansion was predominant in both cases. Analyses of the driving forces of GKMA’s growth was done using Spatial Logistic Regression modelling approach. A review of literature coupled with consultations with experts during fieldwork assisted in identifying locally relevant driving forces of the area’s growth. Two models were constructed on basis of the identified drivers for the periods 1986-2001 and 2001-2014. The performance of both models was evaluated and validated to identify the one that best simulates GKMA’s growth. The estimated coefficients and associated odds ratio of the models were used in assessing the individual contributions of the driving forces. The results from the analysis showed that distance to urban cluster, distance to CBD, distance to major roads and the proportion of urban cells in 7x7 neighbourhood which are common to both time periods were among the top four drivers of urban growth in both periods though with varying levels of influence. Population density was identified as the most important driver of growth during 2001-2014. Finally, predictions of future growth were made based on the 2001-2014 model. The results of the model’s prediction mimic past trends of the area’s growth. This is because predicted growth is shown to mimic the layout of major roads as observed in reality. The study also simulated future growth based on proposed public investment on new roads so as to understand how this will influence future growth. The results from the predicted scenario showed new growth occurring which were however not associated with the updated factor. This study attributed the decline in influence of the updated factor to correlation among the variables. Overall the results of the study shows that the integration of remote sensing, GIS, spatial metrics and logistic regression provide a powerful collection of tools for understanding the spatio-temporal dynamics of urban growth.
