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Spatial Inequalities : Health, Poverty, and Place in Accra, Ghana. 1st ed. 2013

種類:
電子ブック
責任表示:
edited by John R. Weeks, Allan G. Hill, Justin Stoler
出版情報:
Dordrecht : Springer Netherlands : Imprint: Springer, 2013
著者名:
シリーズ名:
GeoJournal Library ; 110
ISBN:
9789400767324 [9400767323]  CiNii Books  Calil
注記:
Contributors -- Acknowledgments -- Part I: Introduction: 1: Introduction to the Accra School: An Overview of Health, Poverty, and Place in Accra: John R. Weeks, Allan G. Hill, and Justin Stoler -- Part II: Accra’s Urban Morphology and Neighborhood Structure -- 2: Defining Neighborhood Boundaries for Urban Health Research: A Case Study of Accra, Ghana: Ryan Engstrom, Caetlin Ofiesh, David Rain, Henry Jewell, and John Weeks -- 3: Neighborhoods of Health: Comparing boundaries for measuring contextual effects on health in Accra, Ghana: Marta Jankowska -- 4: Delineation and Classification of Urban Neighborhoods of Accra, Ghana, from Quickbird Imagery: Manual vs. Semi-Automated Approaches: Christopher D. Lippitt,  Douglas A. Stow, Sory Toure, and Milo Vejraska -- 5: Methods for Texture-based Classification of Urban Fringe Areas from Medium and High Resolution Satellite Imagery: Lasse Møller-Jensen -- Part III: Health and Well-being in Accra’s Neighborhoods: 6: Exploring Social Resilience among Young Migrants in Old
This book provides a fresh analysis of the demography, health and well-being of a major African city.  It brings a range of disciplinary approaches to bear on the pressing topics of urban poverty, urban health inequalities and urban growth.  The approach is primarily spatial and includes the integration of environmental information from satellites and other geospatial sources with social science and health survey data. The authors Ghanaians and outsiders, have worked to understand the urban dynamics in this burgeoning West African metropolis, with an emphasis on urban disparities in health and living standards. Few cities in the global South have been examined from so many different perspectives. Our analysis employs a wide range of GIScience methods, including analysis of remotely sensed imagery and spatial statistical analysis, applied to a wide range of data, including census, survey and health clinic data, all of which are supplemented by field work, including systematic social observation, focus groups,
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