What are 3 examples of graphing natural phenomenas? How would you predict their future occurences?
One could graph the occurance of celestial bodies, such as the moon, sun, etc. Or graph the location of Vega, by hour. Or graph comets.
You could graph rainfall by month over a period of three years.
You could graph the chirping of locusts by month, over a period of say seventeen years.
To predict the future occurrences of natural phenomena, you can follow these steps:
1. Collect Data: Start by gathering relevant data on the phenomenon you want to study. For example, for celestial bodies, you can record their positions and brightness at regular intervals. For rainfall, you can collect rainfall measurements for different months over a period of time. And for locusts, you can record the number of chirps per month over several years.
2. Organize the Data: Arrange the data into tables or spreadsheets, ensuring that you have separate columns for each variable you measured. This will make it easier to plot the data on a graph.
3. Choose the Right Graph: Select an appropriate graph based on the type of data you have collected. For example, a line graph or scatter plot would work well for celestial bodies' positions, a bar graph or line graph can be used for tracking rainfall over time, and a line graph or histogram can depict the chirping of locusts over the years.
4. Plot the Data: Use the collected data and the corresponding variables to mark the points on the graph. Make sure to label the x-axis and y-axis correctly and provide a clear title for the graph.
5. Analyze the Pattern: Look for any noticeable trends or patterns in the graph. For example, for celestial bodies, you might observe a periodic pattern as they move across the sky. For rainfall, you might notice seasonal variations over the three years. And for locust chirping, you might see a significant increase or decrease in chirps after certain intervals.
6. Extrapolate and Predict: Based on the observed patterns, you can make predictions about future occurrences. For example, if you notice that the celestial bodies follow a predictable path or that rainfall tends to be higher during specific months, you can use this information to predict their occurrences in the future. Similarly, if the chirping of locusts shows regular peaks or declines, you can use this data to predict future patterns.
Remember that predicting future occurrences of natural phenomena is not always exact, as various factors can influence their behavior. However, by analyzing past data and identifying patterns, you can make informed predictions about their future occurrences.