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Gender Inequalities - GIS Approaches to Gender Analysis (Hardcover)
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Gender Inequalities - GIS Approaches to Gender Analysis (Hardcover)
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Gender inequality is entrenched in the cultural, political, and
market systems that operate at household, community, and national
levels. Overarching global changes in access to markets, climatic
conditions, and the availability of natural resources intensify
disparities in income, assets, and power among genders. This book
explains these gender dynamics at macro and micro levels through
GIS and spatial analysis. Chapter 1 provides an overview of the
current role of GIS in the context of gender inequalities, how it
still exists globally despite substantial national and
international measures that have been taken toward gender equality.
It illustrates global and country-level maps of measures of gender
inequalities, such as gender equality index, access to basic
education, health and life expectancy, equality of economic
opportunity, and political empowerment. The global case studies
provided in the consequent chapters explore the world of gender
inequalities and get directly involved with some of the GIS and
mapping applications. Chapter 2 investigates how GIS can be adapted
for the criminal justice response to domestic violence (DV) and to
eliminate gender-based violence. Chapter 3 discusses applying GIS
and spatial analysis to the prevalence and incidence mapping of
intimate partner violence (IPV) and geospatial factors that
influence help-seeking and resource availability. Chapter 4
discusses the spatial disparity of gender-representation across
industry types in the United States. Chapter 5 explores the social
and environmental injustice experienced by female migrant workers
at Guiyu town, China, in the context of both environmental
pollution and governance. Chapter 6 presents a social vulnerability
index to identify spatial patterns of social vulnerability and
gender inequalities among Mexican households. Chapter 7 presents
the United States' opioid crisis over the past two decades and
analysis of mortality by gender, race, age, and urbanicity. Chapter
8 discusses the commitment to "leave no one behind" as the heart of
the 2030 Agenda for Sustainable Development and identifies
inequalities among women and girls by mapping multiple deprivations
in Pakistan. Chapter 9 discusses the long-standing challenges in
establishing gender parity in the transportation workforce in the
United States. Chapter 10 presents a study that utilizes geospatial
statistical tools and state-level admission data to examine gender
inequalities in higher-education enrollment in Nigeria and
investigates the key factors on enrollment. This book fosters
engagement with the newest mapping and GIS application in
contemporary issues regarding gender inequalities and nurtures
recognition of how institutional global, everyday, and intimate
spaces are inherently gendered, classed, raced, and sexualized. It
demonstrates the spatiality of the politics of gender difference,
and the contributions of GIS and spatial analysis to the struggles
for equality and social justice. A unique work that Lays out a
step-by-step approach to identify relevant GIS applications,
spatial methods, data collection, and mapping techniques for gender
inequalities research Has a strong international and global
perspective. The author is well-informed in global perspectives
Investigates the patterns/processes and indicators driving gender
inequality at various temporal scales and at comparably detailed
resolutions Illustrates finer-scale case studies, appropriate for
local programs and interventions, as well as global scale studies
contributing to international and national-level policy discussions
on gender inequality Since gender inequality is a research area
that is very wide and with strands into many academic traditions,
this book is aimed at different and diverse academics/research. It
is written for geographers, public health practitioners,
sociologists, epidemiologists, criminologists, politicians,
economists, environmentalists, GIScientists, and health and
research professionals interested in applying GIS and spatial
analysis to the study of gender inequalities.
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