Ensuring the correct mapping of model elements to Industry Foundation Classes (IFC) classes is fundamental for the seamless exchange of information between Building Information Modeling (BIM) applications, and thus achieve true interoperability.
There may not be a 1 1 mapping of model parameters to game parameters, as games must be expressed in terms of things that players can control and/or observe, while inputs and outputs of computational models may deal with lower-level details or values that are driven by higher-order effects of player actions.
Fundamental enablers were the actor-/communication-centered perspective on work processes and technology that allowed the 1 1 mapping of models embodying this perspective to interactive process experience.
This process results in a geological representation based on fuzzy logic and in maps of model uncertainty distribution.
In the web-portal, the graphical user interface (GUI) displays all the graphs and maps of model outputs produced in the backend.
Before we provide the formula for the Poincaré map of model (2.2), we want to show how the phase sets change as the key parameters (i.e. θ, (V_{L}), and τ) vary.
Here, we present maps of model agreement between GARP and Maxent projections onto climates corresponding to three time slices: 2020, 2050, and 2080 (Fig. 5).
The anchoring of this gene-based radiation hybrid map to the genome maps of model species broadened the pool of candidate genes that mainly control growth, disease resistance, sex determination and reversal, reproduction as well as environmental tolerance in this species, all traits of great importance for QTL mapping and marker assisted selection.
However, in comparison to the linkage maps of model fish species (e.g. zebrafish [ 20]), livestock (e.g. cattle [ 22, 23], pig [ 24]), chicken [ 21]) and agronomical plant species (e.g. rice, barley, soybean, grapevine, [ 25- 27, 48], the marker density of the Asian seabass linkage map is still lower.
This spacing of the cleavage motif from the TALE binding site agrees with our mapping data of model DNA substrates.
The negative patches in residual maps of models C and E are explained by the underestimation of the radial component.
