You can also use this function for matrix projection. Contrary to simple projection, you do not specify a factor per row or column, but the rows and columns of matrices are separated into groups. You then define a projection factor per group or per relation between the groups (Using Visum: Projecting matrix values by territory).
Thereby you need to distinguish between two modes:
- Singly-constrained projection by territory: This largely corresponds to singly-constrained projection (Projection). The only difference is that for projection by territory the rows or columns of the matrix are separated into groups ("areas") and you specify a projection factor per group.
- Projection by item: For this procedure the projection factors are not defined per row or column, but per row/column relation. Here the rows and columns are also separated into groups and you specify a projection factor per "group relation".
If you are using a matrix with network references, i.e. a zone or a main zone matrix, you can choose an attribute of the zone or main zone to separate the rows and/or columns into groups. If in this case, you e.g. select the attribute Main zone number for a zone matrix, singly-constrained projection will use a specific factor per main zone for projection. Projection by item would use a different factor per main zone relation.
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Note: The term "territory" used here merely describes a group of rows or columns and is not to be confused with the network object of the same name. |
