<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Galiano, E F</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Pattern detection in plant populations through the analysis of plant-to-all-plants distances</style></title><secondary-title><style face="normal" font="default" size="100%">Plant Ecology</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">nearest neighbour</style></keyword><keyword><style  face="normal" font="default" size="100%">pattern detection</style></keyword><keyword><style  face="normal" font="default" size="100%">Quercus rotundifolia</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1982</style></year></dates><volume><style face="normal" font="default" size="100%">49</style></volume><pages><style face="normal" font="default" size="100%">39-43</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">A method of sampling and analysis is proposed to detect pattern parameters in plant populations from two-dimensional data. The use of aerial photographs to find the coordinates of trees and the measurements of plant-to-all-plants distances yields conditioned probability spectra which can be interpreted in terms of pattern parameters. Two artificial populations and a set of real data have been analysed to test the accuracy of the method.</style></abstract></record></records></xml>