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Spherical data handling and analysis with R package rcosmo

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conference contribution
posted on 2025-03-04, 03:31 authored by Daniel FryerDaniel Fryer, Andriy OlenkoAndriy Olenko
The R package rcosmo was developed for handling and analysing Hierarchical Equal Area isoLatitude Pixelation (HEALPix) and Cosmic Microwave Background (CMB) radiation data. It has more than 100 functions. rcosmo was initially developed for CMB, but also can be used for other spherical data. This paper discusses transformations into rcosmo formats and handling of three types of non-CMB data: continuous geographic, point pattern and star-shaped. For each type of data we provide a brief description of the corresponding statistical model, data example and ready-to-use R code. Some statistical functionality of rcosmo is demonstrated for the example data converted into the HEALPix format. The paper can serve as the first practical guideline to transforming data into the HEALPix format and statistical analysis with rcosmo for geo-statisticians, GIS and R users and researches dealing with spherical data in non-HEALPix formats.

Funding

This research was partially supported under the Australian Research Council’s Discovery Project DP160101366.

History

Publication Date

2020-01-03

Proceedings

Statistics and Data Science: Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24–26, 2019, Proceedings

Editors

Nguyen H

Publisher

Springer Nature

Place of publication

Singapore

Series

Communications in Computer and Information Science

Volume

1150

Pagination

15p. (p. 211-225)

ISBN-13

9789811519598

ISSN

1865-0929

Name of conference

RSSDS: Research School on Statistics and Data Science

Location

Melbourne, Australia

Starting Date

2020-07-24

Finshing Date

2020-07-26

Rights Statement

© Springer Nature Singapore Pte Ltd. 2019 This version of the paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-981-15-1960-4_15