Detecting feature from spatial point processes using Collective Nearest Neighbor Export

@article{citeulike:5732058, author = {Pei, Tao and Zhu, A-Xing and Zhou, Chenghu and Li, Baolin and Qin, Chengzhi}, citeulike-article-id = {5732058}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.compenvurbsys.2009.08.001}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0198971509000660}, day = {05}, doi = {10.1016/j.compenvurbsys.2009.08.001}, issn = {01989715}, journal = {Computers, Environment and Urban Systems}, keywords = {clustering, point, spatial, spatial\_point\_processes}, month = {September}, posted-at = {2009-09-08 01:37:23}, priority = {2}, title = {Detecting feature from spatial point processes using Collective Nearest Neighbor}, url = {http://dx.doi.org/10.1016/j.compenvurbsys.2009.08.001}, year = {2009} }

TY - JOUR ID - citeulike:5732058 L3 - citeulike-article-id:5732058 JF - Computers, Environment and Urban Systems SN - 01989715 TI - Detecting feature from spatial point processes using Collective Nearest Neighbor KW - clustering KW - point KW - spatial KW - spatial_point_processes AU - Pei, Tao AU - Zhu, A-Xing AU - Zhou, Chenghu AU - Li, Baolin AU - Qin, Chengzhi PY - 2009/09/05/ UR - http://dx.doi.org/10.1016/j.compenvurbsys.2009.08.001 ER -