Application of content-adaptive mesh modeling to crime spatial density estimation problems.
1.Using mesh grid model to represent crime density
Assumed "true" density map
Contructed Mesh grid
Representation error of mesh grid with different nodes (MDL)
Using observed incidents to estimate density (comparing mesh, equivalent-sized pixel-grid, ML-estimation, MAP-estimation and different model configurations)
Reconstructed density
Reference: J. G. Brankov, Y. Yang, and M. N. Wernick, “Tomographic Image Reconstruction Based on a Content-Adaptive Mesh Model,” IEEE Trans. Med. Imaging, vol. 23, no. 2, pp. 202–212, 2004