Abstract
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.
This research was partially supported under the Australian Research Council’s Discovery Project DP160101366.
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Acknowledgements
We would like to thank V.V. Anh, P. Broadbridge, N. Leonenko, M. Li, I. Sloan, and Y. Wang for their discussions of CMB and spherical statistical methods, and J. Ryan for developing and extending the mmap package.
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Fryer, D., Olenko, A. (2019). Spherical Data Handling and Analysis with R package rcosmo. In: Nguyen, H. (eds) Statistics and Data Science. RSSDS 2019. Communications in Computer and Information Science, vol 1150. Springer, Singapore. https://doi.org/10.1007/978-981-15-1960-4_15
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DOI: https://doi.org/10.1007/978-981-15-1960-4_15
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