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Fractal dimension of coastline of Australia
Coastlines are irregular in nature having (random) fractal geometry and are formed by various natural activities. Fractal dimension is a measure of degree of geometric irregularity present in the coastline. A novel multicore parallel processing algorithm is presented to calculate the fractal dimensi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973742/ https://www.ncbi.nlm.nih.gov/pubmed/33737585 http://dx.doi.org/10.1038/s41598-021-85405-0 |
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author | Husain, Akhlaq Reddy, Jaideep Bisht, Deepika Sajid, Mohammad |
author_facet | Husain, Akhlaq Reddy, Jaideep Bisht, Deepika Sajid, Mohammad |
author_sort | Husain, Akhlaq |
collection | PubMed |
description | Coastlines are irregular in nature having (random) fractal geometry and are formed by various natural activities. Fractal dimension is a measure of degree of geometric irregularity present in the coastline. A novel multicore parallel processing algorithm is presented to calculate the fractal dimension of coastline of Australia. The reliability of the coastline length of Australia is addressed by recovering the power law from our computational results. For simulations, the algorithm is implemented on a parallel computer for multi-core processing using the QGIS software, R-programming language and Python codes. |
format | Online Article Text |
id | pubmed-7973742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79737422021-03-19 Fractal dimension of coastline of Australia Husain, Akhlaq Reddy, Jaideep Bisht, Deepika Sajid, Mohammad Sci Rep Article Coastlines are irregular in nature having (random) fractal geometry and are formed by various natural activities. Fractal dimension is a measure of degree of geometric irregularity present in the coastline. A novel multicore parallel processing algorithm is presented to calculate the fractal dimension of coastline of Australia. The reliability of the coastline length of Australia is addressed by recovering the power law from our computational results. For simulations, the algorithm is implemented on a parallel computer for multi-core processing using the QGIS software, R-programming language and Python codes. Nature Publishing Group UK 2021-03-18 /pmc/articles/PMC7973742/ /pubmed/33737585 http://dx.doi.org/10.1038/s41598-021-85405-0 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Husain, Akhlaq Reddy, Jaideep Bisht, Deepika Sajid, Mohammad Fractal dimension of coastline of Australia |
title | Fractal dimension of coastline of Australia |
title_full | Fractal dimension of coastline of Australia |
title_fullStr | Fractal dimension of coastline of Australia |
title_full_unstemmed | Fractal dimension of coastline of Australia |
title_short | Fractal dimension of coastline of Australia |
title_sort | fractal dimension of coastline of australia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973742/ https://www.ncbi.nlm.nih.gov/pubmed/33737585 http://dx.doi.org/10.1038/s41598-021-85405-0 |
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