A comparison of geometric approaches to assessing spatial similarity for GIR

@article{Frontiera2008ACO,
  title={A comparison of geometric approaches to assessing spatial similarity for GIR},
  author={Patricia Frontiera and Ray R. Larson and John Radke},
  journal={International Journal of Geographical Information Science},
  year={2008},
  volume={22},
  pages={337-360}
}
This research compares the geographic information retrieval (GIR) performance of a set of logistic regression models with those of five non-probabilistic methods that compute a spatial similarity score for a query-document pair. All methods are applied to a test collection of queries and documents indexed spatially by two convex conservative geometric approximations: the minimum bounding box (MBB) and the convex hull. In the comparison, the tested logistic regression models outperform, in terms… CONTINUE READING

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