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Focus: AAG 2012 Nystrom Competition Papers

Testing Neighborhood, Information Seeking, and Attitudes as Explanations of Environmental Knowledge Using Random Forest and Conditional Inference Models

, , , &
Pages 561-579
Received 01 Sep 2010
Accepted 01 Mar 2012
Published online: 18 Oct 2012
 

This article tests the explanatory power and interactions among five alternative explanations of environmental knowledge: (1) local information availability, (2) neighborhood characteristics, (3) environmental attitudes, (4) personal empowerment, and (5) information seeking. Using random forest and conditional inference trees, the article analyzes survey responses and finds that attitudes about personal empowerment and frequent information seeking are the strongest predictors of knowledge. The study offers random forest and conditional inference trees as statistical tools for complex data sets and studies that test hypotheses generated from multiple theories. We discuss the influence of knowledge differences over inclusive sustainability discussions.

本文测试有关环境知识的五大另类解释的解释力与互动关系: (1)在地信息可汲性, (2)邻里特征, (3)环境态度, (4)个人培力, (5)信息获取。本文运用随机森林演算法与条件推断判定树理论, 分析调查所得的回复, 并发现个人培力与经常性的信息获取态度是知识的最大预测指标。对于用来检验从多元理论发展出的假说的复杂数据集与研究, 本研究提供了随机森林演算法与条件推断判定树理论做为统计工具。我们将探讨知识差异对包容性的可持续发展论述所产生的影响。

Este artículo pone a prueba el poder explicativo y las interacciones de cinco explicaciones alternativas del conocimiento ambiental: (1) la disponibilidad de información local, (2) las características del vecindario, (3) actitudes ambientales, (4) el empoderamiento personal, y (5) la búsqueda de información. Utilizando los métodos de “random forest” (bosque aleatorio) y “conditional inference trees” (árboles de inferencia condicional), el artículo analiza las respuestas obtenidas en el estudio de campo, con lo cual se descubre que las actitudes sobre el empoderamiento personal y la búsqueda frecuente de información son los predictores más fuertes de conocimiento. El estudio propone el bosque aleatorio y los árboles de inferencia condicional como herramientas estadísticas aplicables a conjuntos de datos complejos y a estudios con los que se ponen a prueba hipótesis generadas desde múltiples teorías. Discutimos la influencia de diferencias de conocimiento sobre discusiones amplias de sostenibilidad.

Notes

1. In factor analysis (Appendix), attitudes about feeling empowered and attitudes about feeling unempowered are sorted separately.

2. Anglo refers to residents indicating their race as white alone, ethnicity as not Latino/Hispanic, and language as English. Aggregation is a function of low response rates among non-Anglo-identifying individuals. Although we recognize that this and all research relying on census classifications do not adequately capture the nuances of racial and ethnicity identities or identity politics, it seems most appropriate to the analysis of some degree of white privilege being conferred on some members of the public and not others. The limitations section of the discussion offers several ways the geopolitics and economy of Phoenix in 2008 might have altered responses.

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