Spatial Analysis For The Social Sciences
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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.
Spatial Analysis For The Social Sciences
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Author : David Darmofal
language : en
Publisher: Cambridge University Press
Release Date : 2015-11-12
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 2015-11-12 with Political Science categories.
This book shows how to model the spatial interactions between actors that are at the heart of the social sciences.
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.
Gis And Spatial Analysis For The Social Sciences
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Author : Tony Grubesic
language : en
Publisher: Routledge
Release Date : 2018-09
Gis And Spatial Analysis For The Social Sciences written by Tony Grubesic and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09 with categories.
GIS and Spatial Analysis for the Social Sciences, Second Edition is a foundational text that provides 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 provides a wealth of examples as to why these techniques are worth doing, over and above conventional statistical techniques using STATA, R, SPSS or other statistical packages. This new edition will offer a wealth of screenshots from the open source software, QGIS, to give students step-by-step instruction along with an extensive companion website with new data sets and instructor support material.
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.
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.
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.
Spatial Regression Models for the Social Sciences shows researchers and students how to work with spatial data without the need for advanced mathematical statistics. Focusing on the methods that are commonly used by social scientists, 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. Throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us.
Gis And The Social Sciences
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Author : Halyna Shwetz
language : en
Publisher: Socialy Press
Release Date : 2017-06
Gis And The Social Sciences written by Halyna Shwetz and has been published by Socialy Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06 with Geographic information systems categories.
Today GIS is a major computer application with uses that range from the management of natural resources by government agencies and corporations, to the operations of utility companies, to support for scientific research and education. The use of GIS has now spread very widely among the sciences, and it is now an accepted tool among all of the disciplines that deal with the surface of the Earth and its human population. Moreover the concept of GIS has evolved substantially, and GIS also claims to be an integrating technology, spanning disciplines and blur ring the distinctions between them, both important prerequisites for any broadly useful research infrastructure. The use of GIS has prompted interest in a number of fundamental issues that are collectively identified as geographic information science. This book is dedicated to GIS research and its applications in the fields of Sociology, Criminology, Public Health, Geography, Anthropology, Political Science, and Environmental Studies. GIS (Geographic Information Systems) has grown in popularity as a powerful tool for spatial analysis in the social sciences. Social Science Data and Software (SSDS) continues to build a collaborative network of expertise, support, and resources for GIS and spatial statistical analysis. SSDS has always been a repository of social science numeric data and recent efforts have expanded its collection of spatial data for research and instruction, again with a focus on the social science. This monograph is a valuable resource for students or any social scientist or practitioner interested in applying GIS technology to his or her work.
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.
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.
Spatial Synthesis
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Author : Xinyue Ye
language : en
Publisher: Springer Nature
Release Date : 2020-11-30
Spatial Synthesis written by Xinyue Ye and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-30 with Social Science categories.
This book describes how powerful computing technology, emerging big and open data sources, and theoretical perspectives on spatial synthesis have revolutionized the way in which we investigate social sciences and humanities. It summarizes the principles and applications of human-centered computing and spatial social science and humanities research, thereby providing fundamental information that will help shape future research. The book illustrates how big spatiotemporal socioeconomic data facilitate the modelling of individuals’ economic behavior in space and time and how the outcomes of such models can reveal information about economic trends across spatial scales. It describes how spatial social science and humanities research has shifted from a data-scarce to a data-rich environment. The chapters also describe how a powerful analytical framework for identifying space-time research gaps and frontiers is fundamental to comparative study of spatiotemporal phenomena, and how research topics have evolved from structure and function to dynamic and predictive. As such this book provides an interesting read for researchers, students and all those interested in computational and spatial social sciences and humanities.