Extension of mathematical background for Nearest Neighbour Analysis in three-dimensional space

Proceeding deals with development and testing of the module for GRASS GIS [1], based on Nearest Neighbour Analysis. This method can be useful for assessing whether points located in area of interest are distributed randomly, in clusters or separately. The main principle of the method consists of com...

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Main Author: Eva Stopková
Format: Article
Language:English
Published: Czech Technical University in Prague 2013-12-01
Series:Geoinformatics FCE CTU
Subjects:
Online Access:https://ojs.cvut.cz/ojs/index.php/gi/article/view/2540
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author Eva Stopková
author_facet Eva Stopková
author_sort Eva Stopková
collection DOAJ
description Proceeding deals with development and testing of the module for GRASS GIS [1], based on Nearest Neighbour Analysis. This method can be useful for assessing whether points located in area of interest are distributed randomly, in clusters or separately. The main principle of the method consists of comparing observed average distance between the nearest neighbours r A to average distance between the nearest neighbours r E that is expected in case of randomly distributed points. The result should be statistically tested. The method for two- or three-dimensional space differs in way how to compute r E . Proceeding also describes extension of mathematical background deriving standard deviation of r E , needed in statistical test of analysis result. As disposition of phenomena (e.g. distribution of birds’ nests or plant species) and test results suggest, anisotropic function would repre- sent relationships between points in three-dimensional space better than isotropic function that was used in this work.
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spelling doaj.art-e5deca5def1b4a9486013e0c950d0bbf2022-12-21T20:18:51ZengCzech Technical University in PragueGeoinformatics FCE CTU1802-26692013-12-01110253610.14311/gi.11.22334Extension of mathematical background for Nearest Neighbour Analysis in three-dimensional spaceEva Stopková0PhD. student of Geodesy and Cartography, Department of Theoretical Geodesy, Faculty of Civil Engineering, Slovak University of Technology in BratislavaProceeding deals with development and testing of the module for GRASS GIS [1], based on Nearest Neighbour Analysis. This method can be useful for assessing whether points located in area of interest are distributed randomly, in clusters or separately. The main principle of the method consists of comparing observed average distance between the nearest neighbours r A to average distance between the nearest neighbours r E that is expected in case of randomly distributed points. The result should be statistically tested. The method for two- or three-dimensional space differs in way how to compute r E . Proceeding also describes extension of mathematical background deriving standard deviation of r E , needed in statistical test of analysis result. As disposition of phenomena (e.g. distribution of birds’ nests or plant species) and test results suggest, anisotropic function would repre- sent relationships between points in three-dimensional space better than isotropic function that was used in this work.https://ojs.cvut.cz/ojs/index.php/gi/article/view/25403D GIS, spatial analysis, Nearest Neighbour Analysis
spellingShingle Eva Stopková
Extension of mathematical background for Nearest Neighbour Analysis in three-dimensional space
Geoinformatics FCE CTU
3D GIS, spatial analysis, Nearest Neighbour Analysis
title Extension of mathematical background for Nearest Neighbour Analysis in three-dimensional space
title_full Extension of mathematical background for Nearest Neighbour Analysis in three-dimensional space
title_fullStr Extension of mathematical background for Nearest Neighbour Analysis in three-dimensional space
title_full_unstemmed Extension of mathematical background for Nearest Neighbour Analysis in three-dimensional space
title_short Extension of mathematical background for Nearest Neighbour Analysis in three-dimensional space
title_sort extension of mathematical background for nearest neighbour analysis in three dimensional space
topic 3D GIS, spatial analysis, Nearest Neighbour Analysis
url https://ojs.cvut.cz/ojs/index.php/gi/article/view/2540
work_keys_str_mv AT evastopkova extensionofmathematicalbackgroundfornearestneighbouranalysisinthreedimensionalspace