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Describing a real estate property that is close to but not adjoining another. For example, a house is adjacent to the house across the street because they are in the same neighborhood.

Nearby, but not necessarily touching; implies properties separated by a natural barrier such as a river,or by a street,but not separated by another property.Properties that touch each other are legally said to be adjoining rather than adjacent, but common usage includes such properties as within the definition of adjacent.

The Complete Real Estate Encyclopedia by Denise L. Evans, JD & O. William Evans, JD. Copyright © 2007 by The McGraw-Hill Companies, Inc.
References in periodicals archive ?
In this paper, we experiment with four different representations of networks: adjacency matrices, Laplacian matrices, degree lists, and degree distributions.
It is easy to show that the adjacency matrix [mathematical expression not reproducible], where A is n/2 x n/2 matrix; hence, by Proposition 9 and Theorem 5,
In terms of forms, adjacency pairs can be quite flexible.
a b c d e f g a 0 0 0 0 1 0 1 b 1 1 0 1 1 1 1 c 0 0 2 1 1 3 2 d 0 0 1 0 0 1 1 e 2 1 0 1 1 1 1 f 1 0 0 0 0 0 0 g 0 0 0 1 0 1 0 (2) a b c d e f g a 2 1 0 2 1 2 1 b 4 2 1 3 3 4 4 c 5 1 5 5 3 10 6 d 1 0 2 2 1 4 2 e 4 2 1 3 4 4 5 f 0 0 0 0 1 0 1 g 1 0 1 0 0 1 1 (3) a b c d e f g a 8 2 6 7 5 13 9 b 19 5 15 17 15 32 25 c 39 15 18 32 30 50 44 d 14 6 5 12 11 17 15 e 20 5 17 19 17 36 28 f 1 0 2 2 2 4 3 g 5 2 2 3 4 5 6 (4) Let we calculate the distance matrix [R.sup.n], representing the sum of Boolean adjacency matrices at 0 to m orders.
We used different software like Hyperchem to draw nanocones, TopoCluj to compute their adjacency matrices and MATLAB to compute its spectrum.
We say ([a.sub.1], [a.sub.2], ..., [a.sub.n]) is equivalent to ([a'.sub.1], [a'.sub.2], ..., [a'.sub.n]) denoted by ([a.sub.1], [a.sub.2], ..., [a.sub.n]) ~ ([a'.sub.1], [a'.sub.2], ..., [a'.sub.n]), if we get ([a'.sub.1], [a'.sub.2], ..., [a'.sub.n]) after thresholding and updating the vector ([a.sub.1], [a.sub.2], ..., [a.sub.n]), after passing through the neutrosophic adjacency matrix N(E).
The final adjacency matrix and weighted digraph, shown in Figure 5, are developed based on these weights:
When a state change occurs, for example, when an adjacency with other node of the WSN is created or destroyed, the NODE_NSEQ value is increased or decreased.
For example, the adjacency matrix of the graph in Figure 1 is shown below:
The centre is to provide Roche with critical adjacency to New York City's nine major academic medical centres and its various ongoing clinical trials in an environment purposely built for life science collaboration and innovation.

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