Spatial Analysis For The Social Sciences
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Gis And Spatial Analysis For The Social Sciences
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Author : Robert Nash Parker
language : en
Publisher: Routledge
Release Date : 2009-09-10
Gis And Spatial Analysis For The Social Sciences written by Robert Nash Parker and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-10 with Political Science categories.
This is the first book to provide sociologists, criminologists, political scientists, and other social scientists with the methodological logic and techniques for doing spatial analysis in their chosen fields of inquiry. The book contains a wealth of examples as to why these techniques are worth doing, over and above conventional statistical techniques using SPSS or other statistical packages. GIS is a methodological and conceptual approach that allows for the linking together of spatial data, or data that is based on a physical space, with non-spatial data, which can be thought of as any data that contains no direct reference to physical locations.
Spatial Analysis For The Social Sciences
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Author : David Darmofal
language : en
Publisher: Cambridge University Press
Release Date : 2015-10-29
Spatial Analysis For The Social Sciences written by David Darmofal and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-29 with Political Science categories.
Many theories in the social sciences predict spatial dependence or the similarity of behaviors at neighboring locations. Spatial Analysis for the Social Sciences demonstrates how researchers can diagnose and model this spatial dependence and draw more valid inferences as a result. The book is structured around the well-known Galton's problem and presents a step-by-step guide to the application of spatial analysis. The book examines a variety of spatial diagnostics and models through a series of applied examples drawn from the social sciences. These include spatial lag models that capture behavioral diffusion between actors, spatial error models that account for spatial dependence in errors, and models that incorporate spatial heterogeneity in the effects of covariates. Spatial Analysis for the Social Sciences also examines advanced spatial models for time-series cross-sectional data, categorical and limited dependent variables, count data, and survival data.
Spatial Data Analysis In The Social And Environmental Sciences
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Author : Robert P. Haining
language : en
Publisher: Cambridge University Press
Release Date : 1993-08-26
Spatial Data Analysis In The Social And Environmental Sciences written by Robert P. Haining and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-08-26 with Mathematics categories.
A spatial data set is a data set in which each observation is referenced to a site or area. 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, therefore, is to describe to students and research workers in the social and environmental sciences the current methods available for the analyses of spatial data. Methods described include data description, map interpolation, exploratory and explanatory analyses. The book also examines how spatial referencing raises a distinctive set of issues for the data analyst and recognizes the need to test underlying statistical assumptions. Further, methods for detecting problems, assessing their seriousness and taking appropriate action are discussed.
Handbook Of Spatial Analysis In The Social Sciences
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Author : Sergio J. Rey
language : en
Publisher: Edward Elgar Publishing
Release Date : 2022-11-18
Handbook Of Spatial Analysis In The Social Sciences written by Sergio J. Rey and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-18 with Technology & Engineering categories.
Providing an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences.
Gis And The Social Sciences
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Author : Dimitris Ballas
language : en
Publisher: Routledge
Release Date : 2017-09-18
Gis And The Social Sciences written by Dimitris Ballas and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-18 with Science categories.
GIS and the Social Sciences offers a uniquely social science approach on the theory and application of GIS with a range of modern examples. It explores how human geography can engage with a variety of important policy issues through linking together GIS and spatial analysis, and demonstrates the importance of applied GIS and spatial analysis for solving real-world problems in both the public and private sector. The book introduces basic theoretical material from a social science perspective and discusses how data are handled in GIS, what the standard commands within GIS packages are, and what they can offer in terms of spatial analysis. It covers the range of applications for which GIS has been primarily used in the social sciences, offering a global perspective of examples at a range of spatial scales. The book explores the use of GIS in crime, health, education, retail location, urban planning, transport, geodemographics, emergency planning and poverty/income inequalities. It is supplemented with practical activities and datasets that are linked to the content of each chapter and provided on an eResource page. The examples are written using ArcMap to show how the user can access data and put the theory in the textbook to applied use using proprietary GIS software. This book serves as a useful guide to a social science approach to GIS techniques and applications. It provides a range of modern applications of GIS with associated practicals to work through, and demonstrates how researcher and policy makers alike can use GIS to plan services more effectively. It will prove to be of great interest to geographers, as well as the broader social sciences, such as sociology, crime science, health, business and marketing.
Spatially Integrated Social Science
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Author : Michael F. Goodchild
language : en
Publisher: Oxford University Press
Release Date : 2004-01-15
Spatially Integrated Social Science written by Michael F. Goodchild and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-01-15 with Social Science categories.
Spatial analysis assists theoretical understanding and empirical testing in the social sciences, and rapidly expanding applications of geographic information technologies have advanced the spatial data-gathering needed for spatial analysis and model making. This much-needed volume covers outstanding examples of spatial thinking in the social sciences, with each chapter showing some aspect of how certain social processes can be understood by analyzing their spatial context. The audience for this work is as trans-disciplinary as its authorship because it contains approaches and methodologies useful to geography, anthropology, history, political science, economics, criminology, sociology, and statistics.
Spatial Regression Models
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Author : Michael D. Ward
language : en
Publisher: SAGE Publications
Release Date : 2018-04-10
Spatial Regression Models written by Michael D. Ward and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-10 with Social Science categories.
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, creating data from maps, analyzing exploratory spatial data, working with regression models that have spatially dependent regressors, and estimating regression models with spatially correlated error structures. Using social science examples based on real data, the authors 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.
Gis Based Studies In The Humanities And Social Sciences
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Author : Atsuyuki Okabe
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Gis Based Studies In The Humanities And Social Sciences written by Atsuyuki Okabe and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Technology & Engineering categories.
Studies in the humanities and the social sciences can be enhanced through the use of geographic information systems (GIS). However, this computer-aided method of analysis is worthless unless researchers can devote the time necessary to learn what it is, what it can do, and how to use it. Resulting from a six-year project entitled Spatial Inf
Spatial Regression Models For The Social Sciences
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Author : Guangqing Chi
language : en
Publisher: SAGE Publications
Release Date : 2019-03-06
Spatial Regression Models For The Social Sciences written by Guangqing Chi and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-06 with Social Science categories.
Space and geography are important aspects of social science research in fields such as criminology, sociology, political science, and public health. Many social scientists are interested in the spatial clustering of various behaviors and events. There has been a rapid development of interest in regression methods for analyzing spatial data over recent years, but little available on the topic that is aimed at graduate students and advanced undergraduate classes in the social sciences (most texts are for the natural sciences, or regional science, or economics, and require a good understanding of advanced statistics and probability theory). Spatial Regression Models for the Social Sciences fills the gap, and focuses on the methods that are commonly used by social scientists. Each spatial regression method is introduced in the same way. Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it, by connecting it to social science research topics. They try to avoid mathematical formulas and symbols as much as possible. Secondly, throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us. Spatial Regression Models for the Social Sciences provides comprehensive coverage of spatial regression methods for social scientists and introduces the methods in an easy-to-follow manner.