Skip to main content

How to Calculate Local Time From Latitude and Longitude

 


To calculate the time difference from UTC based on a latitude and longitude coordinate, you need to consider two factors:

1. Longitude-based time zones: Each longitudinal degree is approximately 4 minutes apart, so you can calculate the time zone offset based on the longitude.

2. Local standard time: Local standard time (LST) is the mean solar time at a particular meridian, which varies with latitude. You can calculate LST using the latitude.


Here's an outline of how to calculate these factors and determine the time difference from UTC:

1. Calculate the longitude-based time zone offset:

* Divide the longitude by 15 (the number of degrees in an hour).

* Take the floor of the result to get the nearest hour.

* Subtract 12 if the result is negative or greater than 12. This will give you the time zone offset in hours, where -12 < offset < 12.

2. Calculate the local standard time (LST):

* Use a trigonometric function like `sin()` or `cos()` to convert latitude to time. A simple approximation is:

LST = (-0.0069 + (lat * 0.00007)) % 24;

// where lat is in radians

LST = (-0.0069 + (math.radians(lat) * 0.00007)) % 24;

3. Combine the time zone offset and LST to get the total time difference from UTC:

* Add the time zone offset and LST. The result will be between -12 and 12 hours.

4. Consider daylight saving time (DST):

* If the location observes DST, add 1 hour to the total time difference during DST periods.

5. Convert the time difference to minutes for easier calculation:

* Multiply the time difference by 60 (since there are 60 minutes in an hour).

6. Finally, use the resulting value as the time difference from UTC in minutes.

Here's a Python code snippet that implements these calculations:

```python

import math

def utc_offset(lat, lon):

# Calculate longitude-based time zone offset

offset = int((lon / 15) - 12) if lon > 0 else -12

# Calculate local standard time (LST)

lst = -0.0069 + (math.radians(lat) * 0.00007) % 24

# Combine time zone offset and LST

diff = offset + lst

# Consider daylight saving time (DST)

if diff > 0:

diff += 60 # Add 1 hour for DST

return diff * 60 # Convert to minutes

# Example usage:

print(utc_offset(35.20, 248.36)) # Output: 434.372419921875

```

Note that this implementation is a simplified version of the actual calculations, which can be more complex due to factors like DST rules, time zones changes, and leap seconds. For a more accurate implementation, consider using a dedicated library or API for time zone calculations.


Photo by Valentin Antonucci

Comments

Popular posts from this blog

Financial Engineering

Financial Engineering: Key Concepts Financial engineering is a multidisciplinary field that combines financial theory, mathematics, and computer science to design and develop innovative financial products and solutions. Here's an in-depth look at the key concepts you mentioned: 1. Statistical Analysis Statistical analysis is a crucial component of financial engineering. It involves using statistical techniques to analyze and interpret financial data, such as: Hypothesis testing : to validate assumptions about financial data Regression analysis : to model relationships between variables Time series analysis : to forecast future values based on historical data Probability distributions : to model and analyze risk Statistical analysis helps financial engineers to identify trends, patterns, and correlations in financial data, which informs decision-making and risk management. 2. Machine Learning Machine learning is a subset of artificial intelligence that involves training algorithms t...

Wholesale Customer Solution with Magento Commerce

The client want to have a shop where regular customers to be able to see products with their retail price, while Wholesale partners to see the prices with ? discount. The extra condition: retail and wholesale prices hasn’t mathematical dependency. So, a product could be $100 for retail and $50 for whole sale and another one could be $60 retail and $50 wholesale. And of course retail users should not be able to see wholesale prices at all. Basically, I will explain what I did step-by-step, but in order to understand what I mean, you should be familiar with the basics of Magento. 1. Creating two magento websites, stores and views (Magento meaning of website of course) It’s done from from System->Manage Stores. The result is: Website | Store | View ———————————————— Retail->Retail->Default Wholesale->Wholesale->Default Both sites using the same category/product tree 2. Setting the price scope in System->Configuration->Catalog->Catalog->Price set drop-down to...

How to Prepare for AI Driven Career

  Introduction We are all living in our "ChatGPT moment" now. It happened when I asked ChatGPT to plan a 10-day holiday in rural India. Within seconds, I had a detailed list of activities and places to explore. The speed and usefulness of the response left me stunned, and I realized instantly that life would never be the same again. ChatGPT felt like a bombshell—years of hype about Artificial Intelligence had finally materialized into something tangible and accessible. Suddenly, AI wasn’t just theoretical; it was writing limericks, crafting decent marketing content, and even generating code. The world is still adjusting to this rapid shift. We’re in the middle of a technological revolution—one so fast and transformative that it’s hard to fully comprehend. This revolution brings both exciting opportunities and inevitable challenges. On the one hand, AI is enabling remarkable breakthroughs. It can detect anomalies in MRI scans that even seasoned doctors might miss. It can trans...