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Book Spatial Heterogeneity  Meta analysis and Spatial Dependence

Download or read book Spatial Heterogeneity Meta analysis and Spatial Dependence written by Meidan Bu and published by . This book was released on 2013 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation consists of three essays that collectively address the importance of accounting for spatial heterogeneity and spatial dependence of environmental assets and natural resources in policy making. The first essay examines the value of different wetland ecosystem services using an expanded meta-dataset of valuation studies in North America. The purpose of this essay is to explore the sources of variation in wetland values from valuation methodology, ecosystem functions, and site-specific geographic, demographic and socio-economic characteristics. This essay used panel random effect models stratified "by study", "by state" and "by wetland site" to address the issues of correlation between wetland value estimates. Results indicated that wetland welfare measures reported by the same study and in the same wetland site are correlated. By comparing regression results and conclusions from this study with two internationally scoped meta-analysis studies, this essay found that the wetland valuation literature is not robust to regional characteristics, and wetland welfare estimates are sensitive to geographic extent. The second essay extends the first essay to investigate spatial spillover effects of wetland welfare estimates in North America. The primary purpose of the essay is to explore whether wetland values are correlated across space and what determines the correlation. The goal is accomplished by incorporating spatial econometric methods into the meta-analysis framework. The essay constructed three spatial weight matrices based on threshold distances, the ecological similarity and the economic similarity of wetland sites in the metadata. Results indicate that spatial proximity is an important predictor of wetland values regardless of wetland type and function. In part this is captured through shared contexts including resource availability and market characteristics. However, similar ecological and economic profiles are insufficient to capture shared values when transferring value estimates across spatial areas. Results from this study also raised questions on whether ecological functions and economic markets are sufficient for improving international transfers when studies are beyond geographic thresholds. The third essay incorporates spatial econometric models into a stochastic optimization framework to explore the consequences of ignoring the spatial linkage of management units in land management outcomes. The integrated framework combines an economic decision model, a spatial fire simulation model, a spotted owl population prediction model to maximize the expected post-fire and post-treatment NSO population under a budget constraint. Results from this essay inform us that ignoring spatial habitat connections leads to an underestimate of the fuel treatment disturbance and an over-estimate of the expected post-fire and post-treatment NSO population. However, the negative externality of habitat conversions depends on the degree of habitat connections. Additionally, the amount of total treatment area depends on the degree of habitat connections. The optimization outcome suggests less fuel treatment for a landscape with a higher degree of habitat connections. Moreover, the optimization outcome informs us that the spatial configuration of fuel treatment matters for the NSO population protection. Ignoring the spatial habitat connections leads to a fragmented treatment pattern and fails to protect the core NSO habitat from treatment disturbances.

Book Spatial Dependence and Spatial Heterogeneity in the Analysis of Regional Economic Performance and House Price Developments

Download or read book Spatial Dependence and Spatial Heterogeneity in the Analysis of Regional Economic Performance and House Price Developments written by Katharina Pijnenburg and published by . This book was released on 2013 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advances in Spatial Econometrics

Download or read book Advances in Spatial Econometrics written by Luc Anselin and published by Springer Science & Business Media. This book was released on 2004-08-12 with total page 540 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.

Book Visualizing Spatial Dependence in Multivariate Spatial Data

Download or read book Visualizing Spatial Dependence in Multivariate Spatial Data written by N. A. C. Cressie and published by . This book was released on 1993 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Multiscale Geographically Weighted Regression

Download or read book Multiscale Geographically Weighted Regression written by A. Stewart Fotheringham and published by CRC Press. This book was released on 2023-11-15 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiscale 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.

Book Advances in Spatial Econometrics

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.

Book Using Spatial Panel Data in Modelling Regional Growth and Convergence

Download or read book Using Spatial Panel Data in Modelling Regional Growth and Convergence written by Giuseppe Arbia and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we use spatial dependence panel data models to analyse regional growth behaviour in Italy. Controlling for fixed-effects allows us to disentangle the effect of spatial dependence (or spatial interaction) from that of spatial heterogeneity and of omitted variables and, thus, to properly investigate the regional convergence process within the country.

Book Progress in Spatial Analysis

    Book Details:
  • Author : Antonio Páez
  • Publisher : Springer Science & Business Media
  • Release : 2009-10-30
  • ISBN : 3642033261
  • Pages : 499 pages

Download or read book Progress in Spatial Analysis written by Antonio Páez and published by Springer Science & Business Media. This book was released on 2009-10-30 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: Space is increasingly recognized as a legitimate factor that influences many processes and conceptual frameworks, including notions of spatial coherence and spatial heterogeneity that have been demonstrated to provide substance to both theory and explanation. The potential and relevance of spatial analysis is increasingly understood by an expanding sphere of cogent disciplines that have adopted the tools of spatial analysis. This book brings together major new developments in spatial analysis techniques, including spatial statistics, econometrics, and spatial visualization, and applications to fields such as regional studies, transportation and land use, political and economic geography, population and health. Establishing connections to existing and emerging lines of research, the book also serves as a survey of the field of spatial analysis and its links with related areas.

Book Spatial Analysis

    Book Details:
  • Author : Marie-Josée Fortin
  • Publisher : Cambridge University Press
  • Release : 2005-04-21
  • ISBN : 9780521804349
  • Pages : 386 pages

Download or read book Spatial Analysis written by Marie-Josée Fortin and published by Cambridge University Press. This book was released on 2005-04-21 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the wide range of spatial statistics available to analyse ecological data.

Book Spatial Dependence Models and Image Analysis

Download or read book Spatial Dependence Models and Image Analysis written by Jeffrey Donald Helterbrand and published by . This book was released on 1993 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Spatial Heterogeneity and Equilibrium

Download or read book Spatial Heterogeneity and Equilibrium written by Yury Yegorov and published by . This book was released on 1998 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The SAGE Handbook of Spatial Analysis

Download or read book The SAGE Handbook of Spatial Analysis written by A Stewart Fotheringham and published by SAGE. This book was released on 2008-12-22 with total page 529 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realise they are dealing with spatial data, the demand for specialised statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase. Responding to this demand, The Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of Spatial Data Analysis. Its principal focus is on: • why the analysis of spatial data needs separate treatment • the main areas of spatial analysis • the key debates within spatial analysis • examples of the application of various spatial analytical techniques • problems in spatial analysis • areas for future research Aimed at an international audience of academics, The Handbook of Spatial Analysis will also prove essential to graduate level students and researchers in government agencies and the private sector.

Book Statistical Models of Spatial Dependence

Download or read book Statistical Models of Spatial Dependence written by and published by . This book was released on 2007-01-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Using spatial dependence to examine marketing data

Download or read book Using spatial dependence to examine marketing data written by Rahul Govind and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Spatial Data Analysis in the Social and Environmental Sciences

Download or read book Spatial Data Analysis in the Social and Environmental Sciences written by Robert P. Haining and published by Cambridge University Press. This book was released on 1993-08-26 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. The purpose of this book is to describe current methods for the analysis of spatial data. Methods described include data description, map interpolation, and exploratory and explanatory analyses. The book also examines spatial referencing, and methods for detecting problems, assessing their seriousness and taking appropriate action are discussed. This is an important text for any discipline requiring a broad overview of current theoretical and applied work for the analysis of spatial data sets. It will be of particular use to research workers and final year undergraduates in the fields of geography, environmental sciences and social sciences.

Book Mathematical Models in Economics   Volume II

Download or read book Mathematical Models in Economics Volume II written by Wei-Bin Zhang and published by EOLSS Publications. This book was released on 2010-06-10 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Models in Economics is a component of Encyclopedia of Mathematical Sciences in which is part of the global Encyclopedia of Life Support Systems (EOLSS), an integrated compendium of twenty one Encyclopedias. This theme is organized into several different topics and introduces the applications of mathematics to economics. Mathematical economics has experienced rapid growth, generating many new academic fields associated with the development of mathematical theory and computer. Mathematics is the backbone of modern economics. It plays a basic role in creating ideas, constructing new theories, and empirically testing ideas and theories. Mathematics is now an integral part of economics. The main advances in modern economics are characterized by applying mathematics to various economic problems. Many of today's profound insights into economic problems could hardly be obtained without the help of mathematics. The concepts of equilibrium versus non-equilibrium, stability versus instability, and steady states versus chaos in the contemporary literature are difficult to explain without mathematics. The theme discusses on modern versions of some classical economic theories, taking account of balancing between significance of economic issues and mathematical techniques. These two volumes are aimed at the following five major target audiences: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.