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Spatial Justice, Marginal Populations, and Data Integrity

By Melinda Laituri

Colorado State University

Spatial justice refers to the consequential geography of a place where spaces are socially produced. Understanding how spatial injustice is created at different spatial scales is an essential part of participatory practices to collect community data.

Listed in Teaching Materials | resource by group EDSIN: Environmental Data Science Inclusion Network

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Version 1.0 - published on 04 Jun 2019 doi:10.25334/Q4B75R - cite this

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Description

Spatial justice refers to the consequential geography of a place where spaces are socially produced. Our increasing dependence on digital data to represent space demands that we adopt practices that reflect how best to capture place. Places reflect where people live; the amenities and emotions associated with living there. However, mapping space through digital technologies often does not reflect the social connections to places. Who lives where and why? Who has access to resources and services and who does not? How are healthy environments measured? Understanding how spatial injustice is created at different spatial scales is an essential part of participatory practices to collect community data. Giving voice and visualization to marginal populations are part of mapping efforts to assess the spatial arrangement of space where communities are integrated and included in such projects. This is a fraught enterprise due to the digital divide, technological challenges and the need to ensure ethical practices in data collection and data integrity.

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EDSIN: Environmental Data Science Inclusion Network

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