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portada Constructing Valid Geospatial Tools for Environmental Justice
Type
Physical Book
Publisher
Author
Language
English
Pages
302
Format
Paperback
ISBN13
9780309712002

Constructing Valid Geospatial Tools for Environmental Justice

And Medicine National Academies Of Sciences Engineering; Division On Engineering And Physical Sciences; Division On Earth And Life Studies; Board On Mathematical Sciences And Analytics; Board On Environmental Sciences And Toxicology; Board On Earth Scienc (Author) · National Academies Press · Paperback

Constructing Valid Geospatial Tools for Environmental Justice - And Medicine National Academies Of Sciences Engineering; Division On Engineering And Physical Sciences; Division On Earth And Life Studies; Board On Mathematical Sciences And Analytics; Board On Environmental Sciences And Toxicology; Board On Earth Scienc

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NT$ 1,833

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Synopsis "Constructing Valid Geospatial Tools for Environmental Justice"

Decades of research have shown that disadvantaged communities exist at the intersection of high levels of hazard exposure and poverty. Geospatial environmental justice (EJ) tools, such as the White House Council on Environmental Quality-developed Climate and Economic Justice Screening Tool (CEJST), are designed to integrate different kinds of health, social, environmental, and economic data to identify disadvantaged communities and to aid policy and investment decisions that address the pervasive, persistent, and largely unaddressed problems associated with environmental disparities in the United States. Constructing Valid Geospatial Tools for Environmental Justice evaluates several EJ tools, including CEJST, and provides a conceptual framework and data strategy recommendations for developing the composite indicators that are the heart of geospatial EJ tools. An EJ tool that is transparent, legitimate, and has the trust of its users and the communities it represents is based on a structured iterative process that includes: a clear statement of tool objectives and definitions for the concepts being measured; the selection and integration of data and indicators; and assessment of robustness of the selected data and integration processes. Decisions regarding the tool should be iteratively informed by meaningful community engagement, validation to ensure tool results reflect real-world experiences, and careful and thorough documentation of all decision and data processes.

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