Use of fractals to measure anisotropy in point patterns extracted with the DPT of an image

Fabris-Rotelli, Inger Nicolette; Stein, Alfred

dc.contributor.author	Fabris-Rotelli, Inger Nicolette
dc.contributor.author	Stein, Alfred
dc.date.accessioned	2022-10-07T07:37:15Z
dc.date.available	2022-10-07T07:37:15Z
dc.date.issued	2021-04
dc.description.abstract	Please read abstract in the article.	en_US
dc.description.department	Statistics	en_US
dc.description.librarian	hj2022	en_US
dc.description.sponsorship	The University of Pretoria’s Vice-Principal Congress Funding and Statomet from the Department of Statistics, University of Pretoria.	en_US
dc.description.uri	http://www.elsevier.com/locate/spasta	en_US
dc.identifier.citation	Fabris-Rotelli, I. & Stein, A. 2021, 'Use of fractals to measure anisotropy in point patterns extracted with the DPT of an image', Spatial Statistics, vol. 42, art. 100452, pp. 1-17, doi : 10.1016/j.spasta.2020.100452.	en_US
dc.identifier.issn	2211-6753 (online)
dc.identifier.issn	10.1016/j.spasta.2020.100452
dc.identifier.uri	https://repository.up.ac.za/handle/2263/87579
dc.language.iso	en	en_US
dc.publisher	Elsevier	en_US
dc.rights	© 2020 Elsevier B.V. All rights reserved. Notice : this is the author’s version of a work that was submitted for publication in Spatial Statistics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms are not reflected in this document. A definitive version was subsequently published in Spatial Statistics, vol. 42, art. 100452, pp. 1-17, 2021, doi : 10.1016/j.spasta.2020.100452.	en_US
dc.subject	Discrete pulse transform (DPT)	en_US
dc.subject	Fractal	en_US
dc.subject	Ht-index	en_US
dc.subject	Anisotropy	en_US
dc.subject	Spatial point pattern	en_US
dc.subject	Texture image	en_US
dc.title	Use of fractals to measure anisotropy in point patterns extracted with the DPT of an image	en_US
dc.type	Preprint Article	en_US