Speaker
Description
Artificial satellites play a critical role in modern communication, navigation, weather monitoring, and scientific research. Over the past decades, the number of satellites orbiting Earth has increased rapidly due to advancements in space technology and the growth of commercial satellite constellations. Understanding the distribution of satellites and their potential impacts is important for space sustainability and global infrastructure.
This talk presents an exploratory data analysis of satellite distribution around Earth using the R programming language. Publicly available satellite datasets, such as those from space agencies and open satellite catalogs, are used to analyze orbital characteristics including altitude, orbital type (LEO, MEO, GEO), launch year, and operational purpose.
Using R packages such as dplyr, tidyr, and ggplot2, the study demonstrates how satellite data can be cleaned, organized, and visualized to identify trends in satellite deployment over time. Visualizations such as scatter plots, bar charts, and orbital distribution graphs help illustrate how satellites are positioned across different orbital regions.
The analysis also discusses the growing concentration of satellites in Low Earth Orbit (LEO) and its implications, including increased risk of space debris, orbital congestion, and potential challenges for long-term space sustainability. At the same time, satellite networks enable essential global services such as internet connectivity, disaster monitoring, and climate observation.
This presentation highlights how data analysis in R can help researchers and analysts better understand satellite distribution patterns and evaluate their broader technological and environmental impacts. The session aims to demonstrate how open satellite data combined with reproducible workflows in R can provide valuable insights into the rapidly evolving space environment.
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Additional Material or Paper
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| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | satellite data, space technology, data visualization, exploratory data analysis, R programming |
|---|---|
| Virtual Option | This submission is for onsite presentation primarily, but I would also like it to be considered for pre-recorded virtual presentation if I don't get an onsite slot |
| Material License | CC-BY 4.0 |
| Video Recording | Please don't share recordings of my talk |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |