NASA NEO Function Documentation

This document provides a guide on using the get_neo function, which interacts with the NASA Near Earth Object (NEO) API to retrieve NEO data for a specified date range.

1. Importing the Function

To use the get_neo function, you first need to import the R script where the function is defined. If the script is named "neo_function_wrapper.R" and is in the same directory, use the following:

source("neo_function_wrapper.R")

If the script is in another directory, include the file path in addition to the file name.

2. Using the get_neo Function

Call the get_neo(start_date, end_date) function to retrieve NEO data. The function requires two parameters:

• start_date: Start date in 'YYYY-MM-DD' format.
• end_date: End date in 'YYYY-MM-DD' format.

Note: The difference between the start and end date must be 7 days or less. Otherwise, an error will occur.

Ex: neo_data <- get_neo('2023-01-01', '2023-01-07')

print(neo_data) will output the plot if it was not done by default.

3. Additional Analysis

All data is returned by the function, and additional analysis can be performed by accessing the neo_data$data attribute. Asteroid-specific information can be retrieved using neo_data$data$links.

Conclusion

Following these steps allows you to interact with the NASA NEO API and retrieve relevant data for analysis. Make sure to adhere to the date range limitations to ensure a successful API request.

NASA DSCOVR: EPIC wrapper Documentation

This document provides a guide for using the get_image_urls and plot_centroids functions, which interact with the NASA DSCOVR Earth Polychromatic Imaging Camera (EPIC) API to imagery of the Earth from the DSCOVR instrument.

1. Importing the Function

To use the functions, you first need to import the R script where the function is defined. If the script is named "epic_wrapper.R" and is in the same directory, use the following:

source("epic_wrapper.R")

If the script is in another directory, include the file path in addition to the file name.

2. Using the get_image_urls Function

Once the script has been successfully imported, call the get_image_urls(type, date) function and pass the type of images you want to view and the date.

Type: If no type is provided the default will be 'natural'. Other types include 'enhanced', 'aerosol', and 'cloud'.

Date: If no date is provided the default date is the most recent date with available images. Format should be 'YYYY-MM-DD'.

The function returns a list of urls to access the images on a browser.

Ex: image_list <- get_image_urls('natural', '2024-01-01')

Here are examples of the other types of images:

images_enhanced <- get_image_urls('enhanced', '2024-01-01')

images_aerosol <- get_image_urls('aerosol', '2024-01-01')

images_cloud <- get_image_urls('cloud', '2024-01-01')

3. Using the get_image_urls Function

We can get an idea of the scope of each image taken on a given day by plotting the centroids of each image in the set. Call the plot_centroids(type, date) function with the same parameters as before.

Ex: plot_centroids('natural', '2024-01-01')

NASA Rover Images Function

Importing the Function

In order to call the function, we must import the R script where the function is defined ("rover_images_wrapper_module").

source("../rover_images_wrapper_module.R")

If you are in another directory, you must also add the file path where this script is located in addition to the file name.

Using 'get_mars_rover_image_url(rover, camera, date)' Function

Format of camera: FHAZ, RHAZ, MAST, CHEMCAM, MAHLI, MARDI, NAVCAM. For "opportunity" and "spirit": FHAZ, RHAZ, NAVCAM, PANCAM, MINITES.

Format of rover: "curiosity", "opportunity", and "spirit"

Format of date: YYYY-MM-DD

Example: img_link <- get_mars_rover_image_url("curiosity", "fhaz", "2023-01-01")

Conclusion

This function will return a hyperlink to the requested image. Copy/paste this URL into a web browser to see the image.