Empirical Modeling In Urban Studies A Spatial Statistics Application

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Empirical Modeling in Urban Studies: A Spatial Statistics Application

Author : Carlos J. Vilalta
Publisher : Carlos J. Vilalta
ISBN 13 : 3639102010
Total Pages : 117 pages
Book Rating : 4.6/5 (391 download)

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Book Synopsis Empirical Modeling in Urban Studies: A Spatial Statistics Application by : Carlos J. Vilalta

Download or read book Empirical Modeling in Urban Studies: A Spatial Statistics Application written by Carlos J. Vilalta and published by Carlos J. Vilalta. This book was released on with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: The core of this book is an application of spatial statistics techniques for the modeling of urban political change in Mexico. The author's goal is to help the reader learn by example how to apply spatial autocorrelation and spatial regression techniques. Inside, the reader will learn about key concepts in spatial analysis such as regional clusters, local contextual effects, and spatial diffusion processes. The reader will also find useful information about political parties, electoral reforms, and the urban electorate in Mexico. Intended principally for urban studies students, this book is also informative to students in geography, sociology, political science, and those interested in quantitative research methods.

Spatial Analysis Using Big Data

Author : Yoshiki Yamagata
Publisher : Academic Press
ISBN 13 : 0128131322
Total Pages : 304 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Spatial Analysis Using Big Data by : Yoshiki Yamagata

Download or read book Spatial Analysis Using Big Data written by Yoshiki Yamagata and published by Academic Press. This book was released on 2019-11-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to potentially reveal new socioeconomic dynamics within urban populations. Each method, written by leading exponents of the discipline, uses real-time urban big data to solve research problems in spatial science. Urban applications of these methods are provided in unsurpassed depth, with chapters on surface temperature mapping, view value analysis, community clustering and spatial-social networks, among many others. - Reviews some of the most powerful and challenging modern methods to study big data problems in spatial science - Provides computer codes written in R, MATLAB and Python to help implement methods - Applies these methods to common problems observed in urban and regional economics

Spatial Analysis and Modeling in Geographical Transformation Process

Author : Yuji Murayama
Publisher : Springer Science & Business Media
ISBN 13 : 9400706715
Total Pages : 301 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Spatial Analysis and Modeling in Geographical Transformation Process by : Yuji Murayama

Download or read book Spatial Analysis and Modeling in Geographical Transformation Process written by Yuji Murayama and published by Springer Science & Business Media. This book was released on 2011-02-26 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Currently, spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as GPS, Remote Sensing, and others. This book deals with spatial analysis and modelling. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to human settlements and associated environment. Key contributions with empirical case studies from Iran, Philippines, Vietnam, Thailand, Nepal, and Japan that apply spatial analysis including autocorrelation, fuzzy, voronoi, cellular automata, analytic hierarchy process, artificial neural network, spatial metrics, spatial statistics, regression, and remote sensing mapping techniques are compiled comprehensively. The core value of this book is a wide variety of results with state of the art discussion including empirical case studies. It provides a milestone reference to students, researchers, planners, and other practitioners dealing the spatial problems on urban and regional issues. We are pleased to announce that this book has been presented with the 2011 publishing award from the GIS Association of Japan. We would like to congratulate the authors!

Spatial Analysis and Modeling in Geographical Transformation Process

Author : Yuji Murayama
Publisher : Springer
ISBN 13 : 9789400706729
Total Pages : 302 pages
Book Rating : 4.7/5 (67 download)

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Book Synopsis Spatial Analysis and Modeling in Geographical Transformation Process by : Yuji Murayama

Download or read book Spatial Analysis and Modeling in Geographical Transformation Process written by Yuji Murayama and published by Springer. This book was released on 2011-03-07 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Currently, spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as GPS, Remote Sensing, and others. This book deals with spatial analysis and modelling. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to human settlements and associated environment. Key contributions with empirical case studies from Iran, Philippines, Vietnam, Thailand, Nepal, and Japan that apply spatial analysis including autocorrelation, fuzzy, voronoi, cellular automata, analytic hierarchy process, artificial neural network, spatial metrics, spatial statistics, regression, and remote sensing mapping techniques are compiled comprehensively. The core value of this book is a wide variety of results with state of the art discussion including empirical case studies. It provides a milestone reference to students, researchers, planners, and other practitioners dealing the spatial problems on urban and regional issues. We are pleased to announce that this book has been presented with the 2011 publishing award from the GIS Association of Japan. We would like to congratulate the authors!

Spatial Modeling and Assessment of Urban Form

Author : Biswajeet Pradhan
Publisher : Springer
ISBN 13 : 3319542176
Total Pages : 337 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Spatial Modeling and Assessment of Urban Form by : Biswajeet Pradhan

Download or read book Spatial Modeling and Assessment of Urban Form written by Biswajeet Pradhan and published by Springer. This book was released on 2017-05-08 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Recent Developments in Spatial Analysis

Author : Manfred M. Fischer
Publisher : Springer Science & Business Media
ISBN 13 : 3662034999
Total Pages : 440 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Recent Developments in Spatial Analysis by : Manfred M. Fischer

Download or read book Recent Developments in Spatial Analysis written by Manfred M. Fischer and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, spatial analysis has become an increasingly active field, as evidenced by the establishment of educational and research programs at many universities. Its popularity is due mainly to new technologies and the development of spatial data infrastructures. This book illustrates some recent developments in spatial analysis, behavioural modelling, and computational intelligence. World renown spatial analysts explain and demonstrate their new and insightful models and methods. The applications are in areas of societal interest such as the spread of infectious diseases, migration behaviour, and retail and agricultural location strategies. In addition, there is emphasis on the uses of new technologoies for the analysis of spatial data through the application of neural network concepts.

Geocomputation and Urban Planning

Author : Beniamino Murgante
Publisher : Springer Science & Business Media
ISBN 13 : 3540899294
Total Pages : 281 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Geocomputation and Urban Planning by : Beniamino Murgante

Download or read book Geocomputation and Urban Planning written by Beniamino Murgante and published by Springer Science & Business Media. This book was released on 2009-02-26 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sixteen years ago, Franklin estimated that about 80% of data contain geo-referenced information. To date, the availability of geographic data and information is growing, together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are growing and allow a wide number of users to rely on them. This growth has not been fully coupled to an increase of knowledge to support spatial decisions. Spatial analytical techniques, geographical analysis and modelling methods are therefore required to analyse data and to facilitate the decision process at all levels. Old geographical issues can find an answer thanks to new methods and instruments, while new issues are developing, challenging researchers towards new solutions. This volume aims to contribute to the development of new techniques and methods to improve the process of knowledge acquisition. The Geocomputational expression is related to the development and the application of new theories, methods and tools in order to provide better solutions to complex geographical problems. The geocomputational analysis discussed in this volume, could be classified according to three main domains of applications; the first one related to spatial decision support system and to spatial uncertainty, the second connected to artificial intelligence, the third based on all spatial statistics techniques.

Advances in Spatial Econometrics

Author : Luc Anselin
Publisher : Springer Science & Business Media
ISBN 13 : 3662056178
Total Pages : 516 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Advances in Spatial Econometrics by : Luc Anselin

Download or read book Advances in Spatial Econometrics written by Luc Anselin and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: World-renowned experts in spatial statistics and spatial econometrics present the latest advances in specification and estimation of spatial econometric models. This includes information on the development of tools and software, and various applications. The text introduces new tests and estimators for spatial regression models, including discrete choice and simultaneous equation models. The performance of techniques is demonstrated through simulation results and a wide array of applications related to economic growth, international trade, knowledge externalities, population-employment dynamics, urban crime, land use, and environmental issues. An exciting new text for academics with a theoretical interest in spatial statistics and econometrics, and for practitioners looking for modern and up-to-date techniques.

Advanced Introduction to Spatial Statistics

Author : Daniel A. Griffith
Publisher : Elgar Advanced Introductions series
ISBN 13 : 9781800372832
Total Pages : 0 pages
Book Rating : 4.3/5 (728 download)

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Book Synopsis Advanced Introduction to Spatial Statistics by : Daniel A. Griffith

Download or read book Advanced Introduction to Spatial Statistics written by Daniel A. Griffith and published by Elgar Advanced Introductions series. This book was released on 2022-08-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world's leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas. This Advanced Introduction provides a critical review and discussion of research concerning spatial statistics, differentiating between it and spatial econometrics, to answer a set of core questions covering the geographic-tagging-of-data origins of the concept and its theoretical underpinnings, conceptual advances, and challenges for future scholarly work. It offers a vital tool for understanding spatial statistics and surveys how concerns about violating the independent observations assumption of statistical analysis developed into this discipline. Key Features: A concise overview of spatial statistics theory and methods, looking at parallel developments in geostatistics and spatial econometrics, highlighting the eclipsing of centography and point pattern analysis by geostatistics and spatial autoregression, and the emergence of local analysis Contemporary descriptions of popular geospatial random variables, emphasizing one- and two-parameter spatial autoregression specifications, and Moran eigenvector spatial filtering coupled with a broad coverage of statistical estimation techniques A detailed articulation of a spatial statistical workflow conceptualization The helpful insights from empirical applications of spatial statistics in agronomy, criminology, demography, economics, epidemiology, geography, remotely sensed data, urban studies, and zoology/botany, will make this book a useful tool for upper-level students in these disciplines.

Geospatial Analysis and Modelling of Urban Structure and Dynamics

Author : Bin Jiang
Publisher : Springer Science & Business Media
ISBN 13 : 9048185726
Total Pages : 465 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Geospatial Analysis and Modelling of Urban Structure and Dynamics by : Bin Jiang

Download or read book Geospatial Analysis and Modelling of Urban Structure and Dynamics written by Bin Jiang and published by Springer Science & Business Media. This book was released on 2010-06-16 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatial Econometrics

Author : Harry Kelejian
Publisher : Academic Press
ISBN 13 : 0128133929
Total Pages : 460 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Spatial Econometrics by : Harry Kelejian

Download or read book Spatial Econometrics written by Harry Kelejian and published by Academic Press. This book was released on 2017-07-20 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Econometrics provides a modern, powerful and flexible skillset to early career researchers interested in entering this rapidly expanding discipline. It articulates the principles and current practice of modern spatial econometrics and spatial statistics, combining rigorous depth of presentation with unusual depth of coverage. Introducing and formalizing the principles of, and ‘need’ for, models which define spatial interactions, the book provides a comprehensive framework for almost every major facet of modern science. Subjects covered at length include spatial regression models, weighting matrices, estimation procedures and the complications associated with their use. The work particularly focuses on models of uncertainty and estimation under various complications relating to model specifications, data problems, tests of hypotheses, along with systems and panel data extensions which are covered in exhaustive detail. Extensions discussing pre-test procedures and Bayesian methodologies are provided at length. Throughout, direct applications of spatial models are described in detail, with copious illustrative empirical examples demonstrating how readers might implement spatial analysis in research projects. Designed as a textbook and reference companion, every chapter concludes with a set of questions for formal or self--study. Finally, the book includes extensive supplementing information in a large sample theory in the R programming language that supports early career econometricians interested in the implementation of statistical procedures covered. Combines advanced theoretical foundations with cutting-edge computational developments in R Builds from solid foundations, to more sophisticated extensions that are intended to jumpstart research careers in spatial econometrics Written by two of the most accomplished and extensively published econometricians working in the discipline Describes fundamental principles intuitively, but without sacrificing rigor Provides empirical illustrations for many spatial methods across diverse field Emphasizes a modern treatment of the field using the generalized method of moments (GMM) approach Explores sophisticated modern research methodologies, including pre-test procedures and Bayesian data analysis

Statistical Methods for Spatial Planning and Monitoring

Author : Silvestro Montrone
Publisher : Springer Science & Business Media
ISBN 13 : 8847027519
Total Pages : 167 pages
Book Rating : 4.8/5 (47 download)

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Book Synopsis Statistical Methods for Spatial Planning and Monitoring by : Silvestro Montrone

Download or read book Statistical Methods for Spatial Planning and Monitoring written by Silvestro Montrone and published by Springer Science & Business Media. This book was released on 2012-10-23 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book aims to investigate methods and techniques for spatial statistical analysis suitable to model spatial information in support of decision systems. Over the last few years there has been a considerable interest in these tools and in the role they can play in spatial planning and environmental modelling. One of the earliest and most famous definition of spatial planning was “a geographical expression to the economic, social, cultural and ecological policies of society”: borrowing from this point of view, this text shows how an interdisciplinary approach is an effective way to an harmonious integration of national policies with regional and local analysis. A wide range of spatial models and techniques is, also, covered: spatial data mining, point processes analysis, nearest neighbor statistics and cluster detection, Fuzzy Regression model and local indicators of spatial association; all of these tools provide the policy-maker with a valuable support to policy development.

Concepts and Techniques in Urban Analysis

Author : 'Bola Ayeni
Publisher : Routledge
ISBN 13 : 1351600869
Total Pages : 344 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Concepts and Techniques in Urban Analysis by : 'Bola Ayeni

Download or read book Concepts and Techniques in Urban Analysis written by 'Bola Ayeni and published by Routledge. This book was released on 2017-10-12 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, first published in 1979, discusses the concepts, models and techniques used in urban analysis and planning. This study reviews many of the older concepts and models of urban spatial structure, laying the foundations of analysis carried out in the later parts of the book. Topics such as social area analysis, urban economic activity and spatial interaction are considered. This comprehensive study of geography and planning presents a distinctive contribution to the understanding of the nature of the city and its inherent problems.

Spatial Statistics and Modeling

Author : Carlo Gaetan
Publisher : Springer Science & Business Media
ISBN 13 : 0387922571
Total Pages : 308 pages
Book Rating : 4.3/5 (879 download)

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Book Synopsis Spatial Statistics and Modeling by : Carlo Gaetan

Download or read book Spatial Statistics and Modeling written by Carlo Gaetan and published by Springer Science & Business Media. This book was released on 2009-11-10 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environmental and earth sciences, epidemiology, image analysis and more. This book covers the best-known spatial models for three types of spatial data: geostatistical data (stationarity, intrinsic models, variograms, spatial regression and space-time models), areal data (Gibbs-Markov fields and spatial auto-regression) and point pattern data (Poisson, Cox, Gibbs and Markov point processes). The level is relatively advanced, and the presentation concise but complete. The most important statistical methods and their asymptotic properties are described, including estimation in geostatistics, autocorrelation and second-order statistics, maximum likelihood methods, approximate inference using the pseudo-likelihood or Monte-Carlo simulations, statistics for point processes and Bayesian hierarchical models. A chapter is devoted to Markov Chain Monte Carlo simulation (Gibbs sampler, Metropolis-Hastings algorithms and exact simulation). A large number of real examples are studied with R, and each chapter ends with a set of theoretical and applied exercises. While a foundation in probability and mathematical statistics is assumed, three appendices introduce some necessary background. The book is accessible to senior undergraduate students with a solid math background and Ph.D. students in statistics. Furthermore, experienced statisticians and researchers in the above-mentioned fields will find the book valuable as a mathematically sound reference. This book is the English translation of Modélisation et Statistique Spatiales published by Springer in the series Mathématiques & Applications, a series established by Société de Mathématiques Appliquées et Industrielles (SMAI).

Urban Analytics

Author : Alex D. Singleton
Publisher : SAGE
ISBN 13 : 1526418592
Total Pages : 222 pages
Book Rating : 4.5/5 (264 download)

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Book Synopsis Urban Analytics by : Alex D. Singleton

Download or read book Urban Analytics written by Alex D. Singleton and published by SAGE. This book was released on 2017-11-27 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The economic and political situation of cities has shifted in recent years in light of rapid growth amidst infrastructure decline, the suburbanization of poverty and inner city revitalization. At the same time, the way that data are used to understand urban systems has changed dramatically. Urban Analytics offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics. Written in an accessible style and packed with illustrations and interviews from key urban analysts, this is a groundbreaking new textbook for students of urban planning, urban design, geography, and the information sciences.

New Directions in Spatial Econometrics

Author : Luc Anselin
Publisher : Springer
ISBN 13 : 9783642798788
Total Pages : 420 pages
Book Rating : 4.7/5 (987 download)

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Book Synopsis New Directions in Spatial Econometrics by : Luc Anselin

Download or read book New Directions in Spatial Econometrics written by Luc Anselin and published by Springer. This book was released on 2011-12-10 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The promising new directions for research and applications described here include alternative model specifications, estimators and tests for regression models and new perspectives on dealing with spatial effects in models with limited dependent variables and space-time data.

Spatial Regression Models for the Social Sciences

Author : Guangqing Chi
Publisher : SAGE Publications
ISBN 13 : 1544302088
Total Pages : 273 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis Spatial Regression Models for the Social Sciences by : Guangqing Chi

Download or read book Spatial Regression Models for the Social Sciences written by Guangqing Chi and published by SAGE Publications. This book was released on 2019-03-06 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Space and geography are important aspects of social science research in fields such as criminology, sociology, political science, and public health. Many social scientists are interested in the spatial clustering of various behaviors and events. There has been a rapid development of interest in regression methods for analyzing spatial data over recent years, but little available on the topic that is aimed at graduate students and advanced undergraduate classes in the social sciences (most texts are for the natural sciences, or regional science, or economics, and require a good understanding of advanced statistics and probability theory). Spatial Regression Models for the Social Sciences fills the gap, and focuses on the methods that are commonly used by social scientists. Each spatial regression method is introduced in the same way. Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it, by connecting it to social science research topics. They try to avoid mathematical formulas and symbols as much as possible. Secondly, throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us. Spatial Regression Models for the Social Sciences provides comprehensive coverage of spatial regression methods for social scientists and introduces the methods in an easy-to-follow manner.