Measurement and mapping of socially perceived impact related to pollutant industries using a kernel density estimator and GIS. The case study of Ventanas industrial site (Chile)

Authors

DOI:

https://doi.org/10.3989/estgeogr.201708

Keywords:

kernel density estimator, externality maps, socio-environmental impact, environmental perception, industrial pollution

Abstract


The environmental effects of human activities shape the so-called externality fields around them, portrayed either as immissions and physical impacts, or as negative experiences affecting population. The measurement of this social “bad-being” and its spatial expression is the main issue of this contribution, where the case of residents near a large industrial complex in Chile is tackled. To this end a home survey, lately geo-referenced, was designed and achieved to determine the perception of various environmental impacts. To elucidate the amount of socio-spatial “bad-being” a kernel density estimator was applied, provided it enables to obtain GIS based surfaces and expressive maps representing the various negative experiences, and a synthetic index of them too. In this way it is intended to provide a new way to capture, both in quantity and place, these elusive effects, which might be applicable in environmental impact assessment.

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Published

2017-06-30

How to Cite

Moreno Jiménez, A., & Fuenzalida Díaz, M. (2017). Measurement and mapping of socially perceived impact related to pollutant industries using a kernel density estimator and GIS. The case study of Ventanas industrial site (Chile). Estudios Geográficos, 78(282), 225–256. https://doi.org/10.3989/estgeogr.201708

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