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The computational analysis itself relies on well-established component statistical tools but contains a non-trivial amount of novelty via the combination of these modules into a working pipeline that identifies and models the environmental response of co-regulated groups.
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In the environmental model, the environmental factors and management practices for each of the Macaulay Land Use Research Institute MLURI Land Coverer classifications that were relevant to farm activity were defined.
Within the model, the environmental compartments air, freshwater, sediment and three different kinds of soil, namely natural, agricultural and rural/urban soil, are taken into account.
A popular but credible environmental impact assessment index, i.e., CO2 equivalent index is used to model the environmental impact across the concerned logistics network.
In the model, the environmental impact assessment was quantified into four categories i.e. land resources, water resources, air resource and energy resources.
To demonstrate the application and validity of the developed model, the environmental impacts of an elementary school building were assessed using the developed model and compared with the results of a previous model used in a case study.
We used MaxEnt (version 3.2; www.cs.princeton.edu/~schapire/maxent/) to model the environmental suitability of P. clarkii [63], [68].
The environmental predictors shown in Table 2 were used to model the environmental favourability for potential wild hosts for C. imicola.
To model the environmental experience curve and the environmental progress rate (EPR), eqs 2 and 3 were modified.
Novel tests modeling the environmental variable as either the response or the predictor and allowing a genetic variable with multiallelic variants are included.
Tax parcel datasets are also routinely used in urban planning, and some investigators have used tax parcels to model the environmental impact of urban development [ 23].
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