Sentence examples for spatial adjacency from inspiring English sources
"spatial adjacency" is a correct and usable phrase in written English
It refers to the relationship between two objects or locations that are physically close to each other. You can use "spatial adjacency" when describing a new housing development. For example, "The layout of the neighborhood was designed with spatial adjacency in mind, placing homes and parks in close proximity for a sense of community."
Soil spatial adjacency graphs (SAG) represent the geography of soil landscapes as a network that can be analyzed using algebraic graph theory.
In particular, "low benefit learners" in her study inappropriately used spatial adjacency and location to connect parts of diagrams, instead of the particular properties of those parts.
Its regional cohesiveness is unexpected: we began by looking at the human network as a topological entity with no geographical constraints, but uncovered clear regions in space that respect spatial adjacency.
In this context, however, we prefer the term "conductance matrix" to avoid confusion, as adjacency between nodes in the graph derived from the grid does not necessarily imply spatial adjacency between the cells represented by the nodes.
However, we are not trying to partition the network itself, but rather to use the network's characteristics to partition the geographic space underneath the network's topology while guaranteeing spatial adjacency, one of the essential features of a geographic region.
Conway et al [10] found populations of neurons in monkey that either responded more strongly to temporal alternation of color (possibly coding for hue) or spatial adjacency of color (likely feeding form recognition circuits), providing the basis for the influence of form on color perception [11].
Spatial adjacencies are a key-issue in environmental studies.
The number and length of these soil factor sequences (SFS), and their associated spectral radius values, determine whether the SFS are sufficient to explain the spatial pattern of soil adjacency.
We used a timber harvest simulator (HARVEST 6.0) to determine the sensitivity of landscape pattern to the interactions among three strategic parameters: adjacency constraints, spatial dispersion, and size of harvest units.
31 These random effects typically take the form of a conditional autoregression (CAR), which introduces spatial dependence through the adjacency structure of areal units.
We also used models with random effects set at the intercepts to take account of possible intradistrict correlations and with an extension to take account of spatial autocorrelations due to adjacency or distance decay between TPUs (Burnett et al. 2001; Ma et al. 2003).
