Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems
Author: Giuseppe Arbia
Publisher:
Published: 1987
Total Pages:
ISBN-13:
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Spatial Data Configuration in Statistical Analysis of Regional Economic and Related Problems
Author: Giuseppe Arbia
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 269
ISBN-13: 9400923953
DOWNLOAD EBOOKFigure 1. 1. Map of Great Britain at two different scale levels. (a) Counties, (b)Regions. '-. " Figure 1. 2. Two alternative aggregations of the Italian provincie in 32 larger areas 4 CHAPTER 1 d . , b) Figure 1. 3 Percentage of votes of the Communist Party in the 1987 Italian political elections (a) and percentage of population over 75 years (b) in 1981 Italian Census in 32 polling districts. The polling districts with values above the average are shaded. Figure 1. 4: First order neighbours (a) and second order neighbours (b) of a reference area. INTRODUCTION 5 While there are several other problems relating to the analysis of areal data, the problem of estimating a spatial correlO!J'am merits special attention. The concept of the correlogram has been borrowed in the spatial literature from the time series analysis. Figure l. 4. a shows the first-order neighbours of a reference area, while Figure 1. 4. b displays the second-order neighbours of the same area. Higher-order neighbours can be defined in a similar fashion. While it is clear that the dependence is strongest between immediate neighbouring areas a certain degree of dependence may be present among higher-order neighbours. This has been shown to be an alternative way of look ing at the sca le problem (Cliff and Ord, 1981, p. l 23). However, unlike the case of a time series where each observation depends only on past observations, here dependence extends in all directions.
A Primer for Spatial Econometrics
Author: G. Arbia
Publisher: Springer
Published: 2014-06-30
Total Pages: 246
ISBN-13: 1137317949
DOWNLOAD EBOOKThis 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.
Innovations in Multivariate Statistical Analysis
Author: Risto D.H. Heijmans
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 302
ISBN-13: 1461546036
DOWNLOAD EBOOKThe three decades which have followed the publication of Heinz Neudecker's seminal paper `Some Theorems on Matrix Differentiation with Special Reference to Kronecker Products' in the Journal of the American Statistical Association (1969) have witnessed the growing influence of matrix analysis in many scientific disciplines. Amongst these are the disciplines to which Neudecker has contributed directly - namely econometrics, economics, psychometrics and multivariate analysis. This book aims to illustrate how powerful the tools of matrix analysis have become as weapons in the statistician's armoury. The majority of its chapters are concerned primarily with theoretical innovations, but all of them have applications in view, and some of them contain extensive illustrations of the applied techniques. This book will provide research workers and graduate students with a cross-section of innovative work in the fields of matrix methods and multivariate statistical analysis. It should be of interest to students and practitioners in a wide range of subjects which rely upon modern methods of statistical analysis. The contributors to the book are themselves practitioners of a wide range of subjects including econometrics, psychometrics, educational statistics, computation methods and electrical engineering, but they find a common ground in the methods which are represented in the book. It is envisaged that the book will serve as an important work of reference and as a source of inspiration for some years to come.
Collecting Spatial Data
Author: Werner G. Müller
Publisher: Springer Science & Business Media
Published: 2007-08-17
Total Pages: 250
ISBN-13: 3540311750
DOWNLOAD EBOOKThe book is concerned with the statistical theory for locating spatial sensors. It bridges the gap between spatial statistics and optimum design theory. After introductions to those two fields the topics of exploratory designs and designs for spatial trend and variogram estimation are treated. Special attention is devoted to describing new methodologies to cope with the problem of correlated observations.
A Research Agenda for Spatial Analysis
Author: Levi John Wolf
Publisher: Edward Elgar Publishing
Published: 2024-05-02
Total Pages: 253
ISBN-13: 1802203230
DOWNLOAD EBOOKThis Research Agenda explores the future of spatial analysis, and how the field informs and challenges the policy landscape. A wide range of contributors from different intellectual communities address the problem of causality in geographic analysis, arguing that diversity is crucial for the future success of the discipline. This title contains one or more Open Access chapters.
Population, Place, and Spatial Interaction
Author: Rachel S. Franklin
Publisher: Springer Nature
Published: 2019-11-23
Total Pages: 277
ISBN-13: 9811392315
DOWNLOAD EBOOKThis volume is devoted to the geographical—or spatial—aspects of population research in regional science, spanning spatial demographic methods for population composition and migration to studies of internal and international migration to investigations of the role of population in related fields such as climate change and economic growth. If spatial aspects of economic growth and development are the flagship of the regional science discipline, population research is the anchor. People migrate, consume, produce, and demand services. People are the source and beneficiaries of national, regional, and local growth and development. Since the origins of regional science, demographic research has been at the core of the discipline. Contributions in this volume are both retrospective and prospective, offering in their ensemble an authoritative overview of demographic research within the field of regional science.
Handbook of Applied Spatial Analysis
Author: Manfred M. Fischer
Publisher: Springer Science & Business Media
Published: 2009-12-24
Total Pages: 801
ISBN-13: 3642036473
DOWNLOAD EBOOKThe 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.
Modelling Spatial Processes
Author: Michael Tiefelsdorf
Publisher: Springer
Published: 2006-04-11
Total Pages: 236
ISBN-13: 3540486771
DOWNLOAD EBOOKA novel methodology is put forward in this book, which empowers researchers to investigate and identify potential spatial processes among a set of regions. Spatial processes and their underlying functional spatial relationships are commonly observed in the geosciences and related disciplines. Examples are spatially autocorrelated random variables manifesting themselves in distinct global patterns as well as local clusters and hot spots, or spatial interaction leading to stochastic ties among the regions. An example from observational epidemiology demonstrates the flexibility of Moran's approach by analyzing the spatial distribution of cancer data from several perspectives. Recent advances in computing technology, computer algorithms, statistical techniques and global and local spatial patterns by means of Moran's I feasability. Moran's I is an extremely versatile tool for exploring and analyzing spatial data and testing spatial hypotheses.
Multiscale Geographically Weighted Regression
Author: A. Stewart Fotheringham
Publisher: CRC Press
Published: 2023-11-15
Total Pages: 195
ISBN-13: 1000989674
DOWNLOAD EBOOKMultiscale geographically weighted regression (MGWR) is an important method that is used across many disciplines for exploring spatial heterogeneity and modeling local spatial processes. This book introduces the concepts behind local spatial modeling and explains how to model heterogeneous spatial processes within a regression framework. It starts with the basic ideas and fundamentals of local spatial modeling followed by a detailed discussion of scale issues and statistical inference related to MGWR. A comprehensive guide to free, user-friendly, software for MGWR is provided, as well as an example of the application of MGWR to understand voting behavior in the 2020 US Presidential election. Multiscale Geographically Weighted Regression: Theory and Practice is the definitive guide to local regression modeling and the analysis of spatially varying processes, a very cutting-edge, hands-on, and innovative resource. Features Provides a balance between conceptual and technical introduction to local models Explains state-of-the-art spatial analysis technique for multiscale regression modeling Describes best practices and provides a detailed walkthrough of freely available software, through examples and comparisons with other common spatial data modeling techniques Includes a detailed case study to demonstrate methods and software Takes a new and exciting angle on local spatial modeling using MGWR, an innovation to the previous local modeling ‘bible’ GWR The book is ideal for senior undergraduate and graduate students in advanced spatial analysis and GIS courses taught in any spatial science discipline as well as for researchers, academics, and professionals who want to understand how location can affect human behavior through local regression modeling.
