Every eclipse visible from your current location for the rest of your life timothy bender скачать в хорошем качестве

Every eclipse visible from your current location for the rest of your life timothy bender

A shiny web app that calculates all solar and lunar eclipses for up to the next 75 years visible at your current lon/lat coordinate location (link). The shiny app leverages the swephR High Precision Swiss Ephemeris package for celestial body calculations. Anecdote I witnessed the sky darken for no apparent reason in the fall of 2023. Months later I realized I was witnessing the October 2023 annular solar eclipse. So I began to wonder: How many other eclipse events have I been missing? Broad Topics Covered Julius Caesar vs Pope Gregory XIII: The Battle for Space-Time While most of the western world adopted the Gregorian calendar (365.2425 days long) by the 20th century for agricultural and cultural reasons, astronomers track time off-earth using the older Julian calendar (365.25 days long). We will briefly touch on why this is, how to convert back-and-forth between Gregorian and Julian to perform astronomical calculations, and other notable phenomena to keep in mind when using R in space. User Input: Flexibility vs Ease-of-Use Specifically with regards to earthly longitude/latitude coordinate inputs (required for calculating the alignment of celestial bodies to a Earth-bound viewer), a decision had to be made affecting usability of the shiny app for the end-user based on their ability to easily enter an input location: The Breadth of the swephR Package The swephR package is useful for calculating not only solar and lunar eclipse events visible from earth but all kids of celestial alignments including: Planetary positions The crossing of planets over positions Fixed star positions Orbital periods for the Earth, asteroids, etc Biography Tim Bender, Hobbyist   / tim-bender-238870171   Bachelor of Urban Planning from the University of Cincinnati. ~15 years local government experience as an urban planner and transit planner. Tim was part of a team that helped deploy Google Transit for his transit agency in Kentucky in 2008, being among the first 50-ish agencies worldwide to go live. Journey with R began with a desire to log transit vehicle real-time location data from an API for analysis but I had no programming experience or knowledge of how to approach the problem. I wouldn’t successfully solve this problem until after about 5 years of self-guided learning.