naa a22 4500 510737447 CHVBK 20180411083016.0 cr unu---uuuuu 180411e20130501xx s 000 0 eng 10.1007/s11284-013-1029-x doi (NATIONALLICENCE)springer-10.1007/s11284-013-1029-x Gao Meng Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, Shandong, China aut Detecting spatial aggregation from distance sampling: a probability distribution model of nearest neighbor distance [Elektronische Daten] [Meng Gao] Spatial point pattern is an important tool for describing the spatial distribution of species in ecology. Negative binomial distribution (NBD) is widely used to model spatial aggregation. In this paper, we derive the probability distribution model of event-to-event nearest neighbor distance (distance from a focal individual to its n-th nearest individual). Compared with the probability distribution model of point-to-event nearest neighbor distance (distance from a randomly distributed sampling point to the n-th nearest individual), the new probability distribution model is more flexible. We propose that spatial aggregation can be detected by fitting this probability distribution model to event-to-event nearest neighbor distances. The performance is evaluated using both simulated and empirical spatial point patterns. The Ecological Society of Japan, 2013 Spatial point pattern nationallicence Negative binomial nationallicence Distance sampling nationallicence Barro Colorado Island, Panama nationallicence Ecological Research Springer Japan 28/3(2013-05-01), 397-405 0912-3814 28:3<397 2013 28 11284 https://doi.org/10.1007/s11284-013-1029-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11284-013-1029-x text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Gao Meng Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, 264003, Yantai, Shandong, China aut NATIONALLICENCE 773 0- Ecological Research Springer Japan 28/3(2013-05-01), 397-405 0912-3814 28:3<397 2013 28 11284 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer