Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A causal modelling approach to spatial and temporal confounding in environmental impact studies
Deciding whether an anthropogenic disturbance has caused a change in an ecosystem is problematic because of spatial and temporal confounding. The generally accepted approach to this problem has been to use a before‐after control‐impact (BACI) type of design. However, advances in graph theory and causal modelling now provide a formal basis for selecting the covariates that need to be observed in order to control confounding bias, and the solution provided by these advances is simpler than that provided by any of the BACI‐type designs including BACI itself as well as BACIP, Beyond‐BACI and MBACI designs. Based on an explicit description of the nature of spatial and temporal confounding in causal models for two hypothetical environmental impact studies, it is argued that confounding can be controlled by adjusting directly for spatial or temporal location in a before‐after (BA) or control‐impact (CI) study. It is further argued that there is no advantage in combining these designs in a BACI‐type study, either from a causal modelling perspective or from the perspective of the assumptions implicit in BACI‐type designs. Copyright © 2011 John Wiley & Sons, Ltd.
A causal modelling approach to spatial and temporal confounding in environmental impact studies
Deciding whether an anthropogenic disturbance has caused a change in an ecosystem is problematic because of spatial and temporal confounding. The generally accepted approach to this problem has been to use a before‐after control‐impact (BACI) type of design. However, advances in graph theory and causal modelling now provide a formal basis for selecting the covariates that need to be observed in order to control confounding bias, and the solution provided by these advances is simpler than that provided by any of the BACI‐type designs including BACI itself as well as BACIP, Beyond‐BACI and MBACI designs. Based on an explicit description of the nature of spatial and temporal confounding in causal models for two hypothetical environmental impact studies, it is argued that confounding can be controlled by adjusting directly for spatial or temporal location in a before‐after (BA) or control‐impact (CI) study. It is further argued that there is no advantage in combining these designs in a BACI‐type study, either from a causal modelling perspective or from the perspective of the assumptions implicit in BACI‐type designs. Copyright © 2011 John Wiley & Sons, Ltd.
A causal modelling approach to spatial and temporal confounding in environmental impact studies
Paul, Warren L (Autor:in)
Environmetrics ; 22 ; 626-638
01.08.2011
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
A causal modelling approach to spatial and temporal confounding in environmental impact studies
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