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Spatial Data Analysis

Spatial Data Analysis Author Manfred M. Fischer
ISBN-10 3642217206
Release 2011-08-05
Pages 88
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The availability of spatial databases and widespread use of geographic information systems has stimulated increasing interest in the analysis and modelling of spatial data. Spatial data analysis focuses on detecting patterns, and on exploring and modelling relationships between them in order to understand the processes responsible for their emergence. In this way, the role of space is emphasised, and our understanding of the working and representation of space, spatial patterns, and processes is enhanced. In applied research, the recognition of the spatial dimension often yields different and more meaningful results and helps to avoid erroneous conclusions. This book aims to provide an introduction into spatial data analysis to graduates interested in applied statistical research. The text has been structured from a data-driven rather than a theory-based perspective, and focuses on those models, methods and techniques which are both accessible and of practical use for graduate students. Exploratory techniques as well as more formal model-based approaches are presented, and both area data and origin-destination flow data are considered.

Introduction to Spatial Econometrics

Introduction to Spatial Econometrics Author James LeSage
ISBN-10 1420064258
Release 2009-01-20
Pages 340
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Although interest in spatial regression models has surged in recent years, a comprehensive, up-to-date text on these approaches does not exist. Filling this void, Introduction to Spatial Econometrics presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observations. It explores a wide range of alternative topics, including maximum likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different circumstances. Leaders in this field, the authors clarify the often-mystifying phenomenon of simultaneous spatial dependence. By presenting new methods, they help with the interpretation of spatial regression models, especially ones that include spatial lags of the dependent variable. The authors also examine the relationship between spatiotemporal processes and long-run equilibrium states that are characterized by simultaneous spatial dependence. MATLAB® toolboxes useful for spatial econometric estimation are available on the authors’ websites. This work covers spatial econometric modeling as well as numerous applied illustrations of the methods. It encompasses many recent advances in spatial econometric models—including some previously unpublished results.

Spatial Regression Models

Spatial Regression Models Author Michael D. Ward
ISBN-10 9781544328812
Release 2018-04-10
Pages 128
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Spatial Regression Models illustrates the use of spatial analysis in the social sciences within a regression framework and is accessible to readers with no prior background in spatial analysis. The text covers different modeling-related topics for continuous dependent variables, including: mapping data on spatial units, exploratory spatial data analysis, working with regression models that have spatially dependent regressors, and estimating regression models with spatially correlated error structures. Using social sciences examples based on real data, Michael D. Ward and Kristian Skrede Gleditsch illustrate the concepts discussed, and show how to obtain and interpret relevant results. The examples are presented along with the relevant code to replicate all the analysis using the R package for statistical computing. Users can download both the data and computer code to work through all the examples found in the text. New to the Second Edition is a chapter on mapping as data exploration and its role in the research process, updates to all chapters based on substantive and methodological work, as well as software updates, and information on estimation of time-series, cross-sectional spatial models.

Spatial Econometrics

Spatial Econometrics Author J Paul Elhorst
ISBN-10 9783642403408
Release 2013-09-30
Pages 119
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​This book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models based on spatial panels and dynamic spatial panel data models. The book not only presents different model specifications and their corresponding estimators, but also critically discusses the purposes for which these models can be used and how their results should be interpreted.

Statistical Methods for Spatial Data Analysis

Statistical Methods for Spatial Data Analysis Author Oliver Schabenberger
ISBN-10 9781482258134
Release 2017-01-27
Pages 512
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Understanding spatial statistics requires tools from applied and mathematical statistics, linear model theory, regression, time series, and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis, employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression, providing a detailed development of linear models with uncorrelated errors, linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields, non-stationary covariance, and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text, software code that can be used to implement many of the principal methods described and illustrated, and updates to the text itself.

Spatial Econometric Interaction Modelling

Spatial Econometric Interaction Modelling Author Roberto Patuelli
ISBN-10 9783319301969
Release 2016-08-23
Pages 468
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This contributed volume applies spatial and space-time econometric methods to spatial interaction modeling. The first part of the book addresses general cutting-edge methodological questions in spatial econometric interaction modeling, which concern aspects such as coefficient interpretation, constrained estimation, and scale effects. The second part deals with technical solutions to particular estimation issues, such as intraregional flows, Bayesian PPML and VAR estimation. The final part presents a number of empirical applications, ranging from interregional tourism competition and domestic trade to space-time migration modeling and residential relocation.

Visualizing the Data City

Visualizing the Data City Author Paolo Ciuccarelli
ISBN-10 9783319021959
Release 2014-02-17
Pages 76
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This book investigates novel methods and technologies for the collection, analysis and representation of real-time user-generated data at the urban scale in order to explore potential scenarios for more participatory design, planning and management processes. For this purpose, the authors present a set of experiments conducted in collaboration with urban stakeholders at various levels (including citizens, city administrators, urban planners, local industries and NGOs) in Milan and New York in 2012. It is examined whether geo-tagged and user-generated content can be of value in the creation of meaningful, real-time indicators of urban quality, as it is perceived and communicated by the citizens. The meanings that people attach to places are also explored to discover what such an urban semantic layer looks like and how it unfolds over time. As a conclusion, recommendations are proposed for the exploitation of user-generated content in order to answer hitherto unsolved urban questions. Readers will find in this book a fascinating exploration of techniques for mining the social web that can be applied to procure user-generated content as a means of investigating urban dynamics.

Regional Development in Rural Areas

Regional Development in Rural Areas Author André Torre
ISBN-10 9783319023724
Release 2016-05-14
Pages 110
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This book intends to provide analytical and policy tools for investigating the question of the development of rural and peri-urban areas. The aim is to shed some light on this topic and in particular to contribute to a better understanding of the link between issues of regional or territorial development and issues of rural development. The text addresses the question of the disputed notions and definitions of rural development in rural and regional studies, examines the literature of regional and territorial development and the policies of regional development and planning. It also presents scenarios for the future of rural areas, with a focus on European territories.

Spatial Techniques for Soil Erosion Estimation

Spatial Techniques for Soil Erosion Estimation Author Rupesh Jayaram Patil
ISBN-10 9783319742861
Release 2018-02-06
Pages 81
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This book presents a novel computation of the topographic LS factor of the USLE model to estimate spatial soil erosion. In developing countries, soil erosion is one of the main concerns as it adversely affects agriculture and reduces food production. Therefore, the author presents a particularly relevant approach, as he demonstrates how the C++ programming allows us to identify important erosion stages like detachment and deposition. He does this by assessing the annual rate of soil erosion from the Shakkar River watershed in India using distributed information and applying RS and GIS techniques. He also discusses different approaches that have been proposed to work out the influence of topography on erosion. Simulated and observed data of sediment loss are compared for the period 1992 to 2006.This book provides an easy-to-understand basic piece of soil erosion and hydrological research and reaches out to young researchers and students at the graduate and undergraduate level as well as applicants of soil erosion models.

A Primer for Spatial Econometrics

A Primer for Spatial Econometrics Author G. Arbia
ISBN-10 9781137317940
Release 2014-06-30
Pages 230
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This book aims at meeting the growing demand in the field by introducing the basic spatial econometrics methodologies to a wide variety of researchers. It provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and interprets empirical results.

Information Technology in Geo Engineering

Information Technology in Geo Engineering Author D.G. Toll
ISBN-10 9781614994176
Release 2014-07-16
Pages 312
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Information technology continues to evolve and remains central to all aspects of geo-engineering. Key issues are the effective use and re-use of data, particularly within Building Information Modelling (BIM) frameworks; the use of smart monitoring; artificial intelligence and data processing techniques. All these contribute to improvements in design processes, greater construction efficiency and more cost-effective maintenance. This book presents the proceedings of the 2nd International Conference on Information Technology in Geo-Engineering (ICITG 2014), held in Durham, United Kingdom, in July 2014. Topics of the conference cover the full range of information technology applications in geotechnical and geo-environmental engineering, as well as engineering geology. The focus of the papers in this book is on geotechnical data, specifically dealing with issues related to data standards and data exchange. The wider issues of managing data and data sharing through global web portals are also addressed. Also included are papers on artificial intelligence applications, and the use of expert (knowledge-based) systems, artificial neural networks and data mining techniques, particularly as applied to the identification of properties of geo-materials. The use of web-based materials for education, data processing techniques, and the numerical modeling of tunnels, piles and anchors are also discussed. This book will be of interest to the geo-engineering community and is the second in a series of proceedings designed to keep practitioners and researchers abreast of the developments in information technology which relate to their work.

Remote Sensing

Remote Sensing Author Siamak Khorram
ISBN-10 9781461431039
Release 2012-02-27
Pages 134
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Remote Sensing provides information on how remote sensing relates to the natural resources inventory, management, and monitoring, as well as environmental concerns. It explains the role of this new technology in current global challenges. "Remote Sensing" will discuss remotely sensed data application payloads and platforms, along with the methodologies involving image processing techniques as applied to remotely sensed data. This title provides information on image classification techniques and image registration, data integration, and data fusion techniques. How this technology applies to natural resources and environmental concerns will also be discussed.

Introduction to Time Series Analysis

Introduction to Time Series Analysis Author Mark Pickup
ISBN-10 9781483324548
Release 2014-10-15
Pages 232
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Introducing time series methods and their application in social science research, this practical guide to time series models is the first in the field written for a non-econometrics audience. Giving readers the tools they need to apply models to their own research, Introduction to Time Series Analysis, by Mark Pickup, demonstrates the use of—and the assumptions underlying—common models of time series data including finite distributed lag; autoregressive distributed lag; moving average; differenced data; and GARCH, ARMA, ARIMA, and error correction models. “This volume does an excellent job of introducing modern time series analysis to social scientists who are already familiar with basic statistics and the general linear model.” —William G. Jacoby, Michigan State University

Spatial Econometrics

Spatial Econometrics Author Harry Kelejian
ISBN-10 9780128133927
Release 2017-07-20
Pages 458
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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

Air Quality Integrated Assessment

Air Quality Integrated Assessment Author Giorgio Guariso
ISBN-10 9783319333496
Release 2016-11-23
Pages 110
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This book is open access under a CC BY 4.0 license. This book reports on the results of an extended survey conducted across Europe within the framework of the APPRAISAL FP7 project to determine the extent to which an integrated assessment approach to air quality is being adopted, on the one hand, by regional and local authorities to develop air quality plans and, on the other, by researchers. Following a detailed analysis of the role and structure of the components of an integrated assessment study, the results of the survey are considered from a variety of perspectives. Above all, the book discusses the new light the survey sheds on emission abatement policies and measures planned at regional and local scales, and on their synergies/trade-offs with measures implemented at the national scale. Detailed consideration is given to the currently available modeling methodologies for identifying emission sources, assessing the effectiveness of emission reduction measures, and evaluating the impacts of emission abatement measures on human health. Current strengths and weaknesses revealed by the survey are explored, and the application of an integrated assessment tool in two case studies (in Brussels and Porto) is discussed. The book will appeal to all those interested in the use of integrated assessment in connection with the sources, effects and control of air pollution.

Quantitative Geography

Quantitative Geography Author A Stewart Fotheringham
ISBN-10 0761959483
Release 2000-05-02
Pages 270
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Handbook of Applied Spatial Analysis

Handbook of Applied Spatial Analysis Author Manfred M. Fischer
ISBN-10 3642036473
Release 2009-12-24
Pages 811
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The Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field. The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included. This volume provides an accounting of the diversity of current and emergent approaches, not available elsewhere despite the many excellent journals and te- books that exist. Most of the chapters are original, some few are reprints from the Journal of Geographical Systems, Geographical Analysis, The Review of Regional Studies and Letters of Spatial and Resource Sciences. We let our contributors - velop, from their particular perspective and insights, their own strategies for m- ping the part of terrain for which they were responsible. As the chapters were submitted, we became the first consumers of the project we had initiated. We gained from depth, breadth and distinctiveness of our contributors’ insights and, in particular, the presence of links between them.