This book explores how maps generated through geographical information systems (GIS) can be used to integrate principles of health equity and environmental justice into community planning and decision-making.
This book explores how maps generated through geographical information systems (GIS) can be used to integrate principles of health equity and environmental justice into community planning and decision-making.
Priyanka Vyas is an educator, scientist, an interdisciplinary scholar and a practitioner who brings over a decade of experience at the intersection of public health, GIS, urban planning and policy. Trained as a social scientist, she has applied her training in public administration and public policy to address a variety of issues that have strong implications for public policy decision-making. Her work has focused on place-based differences in health behaviour and outcomes and the role of policy in addressing these gaps. Juan Aguilera is a physician and public health researcher whose work examines how environmental and lifestyle factors-such as heat exposure and air pollution-affect immune, respiratory, and metabolic health. With deep experience in diverse and border-region communities, he uses mapping and data-driven, interdisciplinary approaches to uncover spatial patterns in health risk and resilience. His applied research bridges science and community practice to guide sustainable public health strategies for long-term community health impact.
Inhaltsangabe
Preface.Section 1: Place. 1.Mirror, Mirror on the Wall, Which Is the Right Map of All? 2.Looking Inside Versus Outside: Natural Breaks Map. 3.Quartiles, percentiles, standard deviation maps and more: Who is above the mean? Who is below? Section 2: Policy. 4.Maps as an outcome of measures. 5.How not to compare apples with oranges: approaches for area and point data. 6.What to Map: Choosing between Aggregated versus Disaggregated Data, Categories versus Quantitative. 7.Measurements: Are More the Merrier? Section 3: People. 8.Yardstick competition: Am I similar to my neighbors? 9.Do Birds with the Same Feather Flock Together? From Social Marketing to Using Maps for Geographically Targeted Health Intervention.
Preface.Section 1: Place. 1.Mirror, Mirror on the Wall, Which Is the Right Map of All? 2.Looking Inside Versus Outside: Natural Breaks Map. 3.Quartiles, percentiles, standard deviation maps and more: Who is above the mean? Who is below? Section 2: Policy. 4.Maps as an outcome of measures. 5.How not to compare apples with oranges: approaches for area and point data. 6.What to Map: Choosing between Aggregated versus Disaggregated Data, Categories versus Quantitative. 7.Measurements: Are More the Merrier? Section 3: People. 8.Yardstick competition: Am I similar to my neighbors? 9.Do Birds with the Same Feather Flock Together? From Social Marketing to Using Maps for Geographically Targeted Health Intervention.
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