spatial data analysis models methods and techniques springerbriefs in regional science

Download Book Spatial Data Analysis Models Methods And Techniques Springerbriefs In Regional Science in PDF format. You can Read Online Spatial Data Analysis Models Methods And Techniques Springerbriefs In Regional Science here in PDF, EPUB, Mobi or Docx formats.

Spatial Data Analysis

Author : Manfred M. Fischer
ISBN : 3642217206
Genre : Business & Economics
File Size : 56. 50 MB
Format : PDF, ePub, Mobi
Download : 777
Read : 1265

Get This Book


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

Author : James LeSage
ISBN : 1420064258
Genre : Mathematics
File Size : 48. 94 MB
Format : PDF, Kindle
Download : 311
Read : 1122

Get This Book


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

Author : Michael D. Ward
ISBN : 9781544328812
Genre : Social Science
File Size : 30. 89 MB
Format : PDF, Mobi
Download : 593
Read : 897

Get This Book


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

Author : J Paul Elhorst
ISBN : 9783642403408
Genre : Business & Economics
File Size : 40. 56 MB
Format : PDF
Download : 464
Read : 1051

Get This Book


​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

Author : Oliver Schabenberger
ISBN : 9781482258134
Genre : Mathematics
File Size : 45. 70 MB
Format : PDF, ePub
Download : 682
Read : 462

Get This Book


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.

Visualizing The Data City

Author : Paolo Ciuccarelli
ISBN : 9783319021959
Genre : Computers
File Size : 23. 11 MB
Format : PDF, Kindle
Download : 560
Read : 1136

Get This Book


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.

Spatial Econometric Interaction Modelling

Author : Roberto Patuelli
ISBN : 9783319301969
Genre : Business & Economics
File Size : 76. 53 MB
Format : PDF
Download : 560
Read : 783

Get This Book


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.

Regional Development In Rural Areas

Author : André Torre
ISBN : 9783319023724
Genre : Business & Economics
File Size : 89. 58 MB
Format : PDF
Download : 362
Read : 1164

Get This Book


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

Author : Rupesh Jayaram Patil
ISBN : 9783319742861
Genre : Science
File Size : 27. 40 MB
Format : PDF, Docs
Download : 289
Read : 794

Get This Book


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

Author : G. Arbia
ISBN : 9781137317940
Genre : Business & Economics
File Size : 75. 12 MB
Format : PDF, Mobi
Download : 649
Read : 1233

Get This Book


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.

Top Download:

Best Books