Reducing aggregation error in spatial interaction models by location sampling

@inproceedings{HagenZanker2011ReducingAE,
  title={Reducing aggregation error in spatial interaction models by location sampling},
  author={Alex Hagen-Zanker and Yuxue Jin},
  year={2011}
}
Models of spatial interaction such as transport, migration, commuting and trade usually partition space into zones, to represent the receiving and sending end of the interaction. When zones encompass multiple locations, the partitioning causes an aggregation error (Hillsman and Rhoda 1978). The aggregation error increases with the size of zones. Aggregation errors can cause bias (Goodchild 1979; Openshaw 1984) and when zones are larger than a (generally unknown) threshold, models become invalid… CONTINUE READING

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