A spatial weights matrix is a representation of the spatial structure of your data. The cell value for any given row/column combination is the weight that quantifies the spatial relationship between those row and column features.
What is the other name for weight matrix?
weighted adjacency matrix
What are the dimensions of the weight matrix?
The dimensions of the weights matrix between two layers is determined by the sizes of the two layers it connects. There is one weight for every input-to-neuron connection between the layers. Each neuron in the hidden layer has is own bias constant.
What is the spatial weight matrix?
A spatial weights matrix is a representation of the spatial structure of your data. It is a quantification of the spatial relationships that exist among the features in your dataset (or, at least, a quantification of the way you conceptualize those relationships).
How do you find the position weight matrix?
You can assume it to be 0.25 (4 nucleotides distributed uniformly in background). Basically, you have to divide the frequency matrix by 0.25 (the background frequency of each nucleotide) and take the log2 of result.