Advanced Introduction to Spatial Statistics PDF Download
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Author: Griffith, Daniel A.
Publisher: Edward Elgar Publishing
ISBN: 1800372825
Category : Social Science
Languages : en
Pages : 125
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Book Description
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.
Author: Griffith, Daniel A.
Publisher: Edward Elgar Publishing
ISBN: 1800372825
Category : Social Science
Languages : en
Pages : 125
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Book Description
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.
Author: Daniel A. Griffith
Publisher: Springer
ISBN: 331972553X
Category : Business & Economics
Languages : en
Pages : 272
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Book Description
This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and allomorphisms), which is defined as a structure preserving the functional linkage between mathematical properties or operations in spatial statistics and spatial econometrics, among other disciplines. The purpose of this book is to present selected conceptions in both domains that are structurally the same, even though their labelling and the notation for their elements may differ. As the approaches presented here are applied to empirical materials in geography and economics, the book will also be of interest to scholars of regional science, quantitative geography and the geospatial sciences. It is a follow-up to the book “Non-standard Spatial Statistics and Spatial Econometrics” by the same authors, which was published by Springer in 2011.
Author: Norbert Schanne
Publisher: wbv Media GmbH & Company KG
ISBN: 3763940960
Category : Law
Languages : en
Pages : 209
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Book Description
Warum sollen Regionen innerhalb eines Landes unabhängige Inseln sein? Und warum sollen, über das gesamte Land hinweg, einheitlich starke ökonomische oder soziale Wirkungszusammenhänge bestehen? Diese zwei Annahmen werden in der angewandten empirischen Wirtschafts- und Sozialforschung üblicherweise implizit unterstellt. Wie in statistischen Verfahren von dieser unrealistischen Modellstruktur unter Ausnutzung der räumlichen Strukturen in beobachteten Variablen und unterstellten Zusammenhängen abgewichen werden kann, diskutiert Norbert Schanne im vorliegenden Band. Möglichkeiten, unser Verständnis der Ökonomie zu vertiefen, werden ebenso verdeutlicht, wie Chancen und Tücken beim Einsatz der Methoden in Studien zu verschiedenen Aspekten der Arbeitsmarktdynamik.
Author: Yongwan Chun
Publisher: SAGE
ISBN: 1446291626
Category : Reference
Languages : en
Pages : 202
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Book Description
"Ideal for anyone who wishes to gain a practical understanding of spatial statistics and geostatistics. Difficult concepts are well explained and supported by excellent examples in R code, allowing readers to see how each of the methods is implemented in practice" - Professor Tao Cheng, University College London Focusing specifically on spatial statistics and including components for ArcGIS, R, SAS and WinBUGS, this book illustrates the use of basic spatial statistics and geostatistics, as well as the spatial filtering techniques used in all relevant programs and software. It explains and demonstrates techniques in: spatial sampling spatial autocorrelation local statistics spatial interpolation in two-dimensions advanced topics including Bayesian methods, Monte Carlo simulation, error and uncertainty. It is a systematic overview of the fundamental spatial statistical methods used by applied researchers in geography, environmental science, health and epidemiology, population and demography, and planning. A companion website includes digital R code for implementing the analyses in specific chapters and relevant data sets to run the R codes.
Author: Thomas Scherngell
Publisher: Springer Science & Business Media
ISBN: 3319026992
Category : Business & Economics
Languages : en
Pages : 382
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Book Description
The geography of networks and R&D collaborations, in particular the spatial dimension of interactions between organisations performing joint R&D, have attracted a burst of attention in the last decade, both in the scientific study of the networks and in the policy sector. The volume is intended to bring together a selection of articles providing novel theoretical and empirical insights into the geographical dynamics of such networks and R&D collaborations, using new, systematic data sources and employing cutting-edge spatial analysis and spatial econometric techniques. It comprises a section on analytic advances and methodology and two thematic sections on structure and spatial characteristics of R&D networks and the impact of R&D networks and policy implications. The edited volume provides a collection of high-level research contributions with an aim to contribute to the recent debate in economic geography and regional science on how the structure of formal and informal networks modifies and influences the spatial and temporal diffusion of knowledge.
Author: Felix Haifeng Liao
Publisher: Routledge
ISBN: 1351669788
Category : Business & Economics
Languages : en
Pages : 213
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Book Description
This book investigates uneven regional development in China – with particular focus on the cases of Guangdong and Zheijiang provinces – which have been at the forefront of debate since Chinese economic reform. Rapid economic growth since the ‘opening-up’ of China has been accompanied by significant disparities in the regional distribution of income: this book represents one of the most recent studies to present a picture of this inequality. Built upon a multi-scale and multi-mechanism framework, it provides systematic examination of both the patterns and mechanisms of regional development and inequality in provincial China, emphasizing the effects of economic transition. Approaching from a geographical perspective, its authors consider the interplay between the local, the state, and the global forces in shaping the landscape of regional inequality in China. Extensive empirical findings will prove useful to those researching other developing countries within the frontier of globalization and economic transition. Regional Inequality in Transitional China will appeal to scholars and students of geography, economics and Chinese studies more broadly.
Author: Peter Nijkamp
Publisher: Edward Elgar Publishing
ISBN: 0857934589
Category : Social Science
Languages : en
Pages : 457
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Book Description
ÔThis book examines migration in a rapidly globalizing economy where it disrupts such relatively stable patterns as the trip to work, home, school and shopping on the one hand, and is itself transformed by continuously evolving information and telecommunications technology, declining relative transport cost and immigration policy dynamics. The perspective is global yet provides the reader with empirically based work representing Europe, North America and Asia, and international comparative studies of changing migration patternsÕ impact on trade and culture.Õ Ð Roger R. Stough, George Mason University, US During the last few decades the world has experienced an unprecedented level of cross-border migration. While this has generated significant socio-economic gains for host countries, as well as sometimes for the countries of origin, the costs and benefits involved are unevenly distributed. Consequently, growing global population mobility is a hotly debated topic, both in the political arena and by the general public. Amidst a plethora of facts, opinions and emotions, the assessment of migration impacts must be grounded in a solid scientific evidence base. This analytical book outlines and applies a range of the scientific methods that are currently available in migration impact assessment (MIA). The book provides various North American and European case studies that quantify socio-economic consequences of migration for host societies and for immigrants themselves. With up-to-date and broad coverage, this detailed study will appeal to academic researchers in the social sciences, policy analysts at national and international level, as well as graduate students in economics and regional science.
Author:
Publisher: Elsevier
ISBN: 0128047933
Category : Science
Languages : en
Pages : 1488
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Book Description
Geographical Information Systems, Three Volume Set is a computer system used to capture, store, analyze and display information related to positions on the Earth’s surface. It has the ability to show multiple types of information on multiple geographical locations in a single map, enabling users to assess patterns and relationships between different information points, a crucial component for multiple aspects of modern life and industry. This 3-volumes reference provides an up-to date account of this growing discipline through in-depth reviews authored by leading experts in the field. VOLUME EDITORS Thomas J. Cova The University of Utah, Salt Lake City, UT, United States Ming-Hsiang Tsou San Diego State University, San Diego, CA, United States Georg Bareth University of Cologne, Cologne, Germany Chunqiao Song University of California, Los Angeles, CA, United States Yan Song University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Kai Cao National University of Singapore, Singapore Elisabete A. Silva University of Cambridge, Cambridge, United Kingdom Covers a rapidly expanding discipline, providing readers with a detailed overview of all aspects of geographic information systems, principles and applications Emphasizes the practical, socioeconomic applications of GIS Provides readers with a reliable, one-stop comprehensive guide, saving them time in searching for the information they need from different sources
Author: Daniel Griffith
Publisher: Academic Press
ISBN: 0128156929
Category : Business & Economics
Languages : en
Pages : 288
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Book Description
Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation of the Moran eigenvector spatial filtering (MESF) technique. MESF is a novel and powerful spatial statistical methodology that allows spatial scientists to account for spatial autocorrelation in their georeferenced data analyses. Its appeal is in its simplicity, yet its implementation drawbacks include serious complexities associated with constructing an eigenvector spatial filter. This book discusses MESF specifications for various intermediate-level topics, including spatially varying coefficients models, (non) linear mixed models, local spatial autocorrelation, space-time models, and spatial interaction models. Spatial Regression Analysis Using Eigenvector Spatial Filtering is accompanied by sample R codes and a Windows application with illustrative datasets so that readers can replicate the examples in the book and apply the methodology to their own application projects. It also includes a Foreword by Pierre Legendre. - Reviews the uses of ESF across linear regression, generalized linear regression, spatial autocorrelation measurement, and spatially varying coefficient models - Includes computer code and template datasets for further modeling - Provides comprehensive coverage of related concepts in spatial data analysis and spatial statistics
Author: Daniel A. Griffith
Publisher: Springer Science & Business Media
ISBN: 3540248064
Category : Science
Languages : en
Pages : 261
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Book Description
Scientific visualization may be defined as the transformation of numerical scientific data into informative graphical displays. The text introduces a nonverbal model to subdisciplines that until now has mostly employed mathematical or verbal-conceptual models. The focus is on how scientific visualization can help revolutionize the manner in which the tendencies for (dis)similar numerical values to cluster together in location on a map are explored and analyzed. In doing so, the concept known as spatial autocorrelation - which characterizes these tendencies - is further demystified.
