How does the JSON output and object table of pollen API created by Ambee function?

In this article, I will provide a clear and concise explanation of the object table and JSON output of the Ambee pollen API. As a programmer, you are likely familiar with these data structures and how they are commonly used in web development. However, understanding the specific implementation of these structures in the Ambee pollen API can be crucial for effectively utilizing the data provided by the API. By the end of this article, you will have a solid understanding of the object table and JSON output of the Ambee pollen API, and how to work with them in your programming projects.

Object and Description table

• message: This object is used to send messages to the user. It does not contain any additional properties.

• lat: This object contains the requested location's latitude. It is a numerical value that represents the vertical position of the location on the Earth's surface.

• lng: This object contains the requested location's longitude. It is a numerical value that represents the horizontal position of the location on the Earth's surface.

• data: This object contains the pollen data for the requested location.

• Count: This object represents the total pollen count for the requested location. It is a numerical value that represents the number of pollen particles per cubic meter of air.

• grass_pollen: This object represents the amount of pollen particles from grass in the air. It is measured in pollen particles per cubic meter of air.

• tree_pollen: This object represents the amount of pollen particles from trees in the air. It is measured in pollen particles per cubic meter of air.

• weed_pollen: This object represents the amount of pollen particles from weeds in the air. It is measured in pollen particles per cubic meter of air.

• Risk: This object contains the risk data for the pollen types in the requested location.

• grass_pollen: This object represents the risk level for grass pollen in the air. The risk levels range from low to high.

• tree_pollen: This object represents the risk level for tree pollen in the air. The risk levels range from low to high.

• weed_pollen: This object represents the risk level for weed pollen in the air. The risk levels range from low to high.

• updatedAt: This object contains the timestamp for when the pollen data was last updated. It is represented in the ISO 8601 format.

The information provided in the table is useful for individuals who suffer from allergies, asthma, or other respiratory conditions, as well as for researchers studying pollen patterns and their impact on health. By knowing the pollen count and risk level for various types of pollen in a specific location, individuals can take appropriate precautions, such as avoiding outdoor activities during peak pollen times or taking medication to manage their symptoms. Researchers can also use this data to better understand the prevalence and impact of pollen allergies in different areas, potentially leading to the development of more effective treatments and prevention strategies. Overall, the information in the table provides valuable insights into the levels of pollen in the air and its potential impact on health.

JSON output explained

The JSON output represents the pollen data for a specific location. It includes a message confirming that the request was successful and the latitude and longitude of the location. The data object is an array that contains a single object with properties for Count, Risk, and updatedAt. Count represents the total pollen count for grass, tree, and weed pollen at the location. Risk represents the risk level for each type of pollen, with values ranging from low to high. Lastly, updatedAt represents the timestamp when the data was last updated. In this example, the data was last updated on July 25th, 2022 at 5:09:30 AM UTC. This data can be useful for individuals with allergies or respiratory conditions, as well as researchers studying pollen patterns and their impact on health.

{
"message": "success",
"lat": 12.9889055,
"lng": 77.574044,
"data": [
{
"Count": {
"grass_pollen": 147,
"tree_pollen": 0,
"weed_pollen": 361
},
"Risk": {
"grass_pollen": "High",
"tree_pollen": "Low",
"weed_pollen": "Very High"
},
"updatedAt": "2022-07-25T05:09:30.000Z"
}
]
}

In summary

With this, we discussed the object table and JSON output of the Ambee pollen API. We transformed an HTML table into a more readable format and provided detailed descriptions of each object in the table. We also explained why the information in the table is useful for individuals with allergies or respiratory conditions, as well as for researchers studying pollen patterns and their impact on health. Lastly, we described a JSON output that represents the pollen data for a specific location, which includes the total pollen count and risk level for each type of pollen, as well as the timestamp for when the data was last updated. Overall, the information provided in this conversation can help programmers understand and effectively use the Ambee pollen API to access valuable pollen data for different locations.

Reference

It is possible to request access to the Ambee pollen API through the third party data marketplace of Worldindata. Worldindata provides a platform for organizations and individuals to access a wide range of data sources, including the Ambee pollen API. By accessing the Ambee pollen API through Worldindata, users can easily integrate pollen data into their projects and applications. To request access to the Ambee pollen API through Worldindata, users can visit the Worldindata website and follow the instructions provided. Once approved, users will be able to access the API's endpoints and retrieve real-time pollen data for various locations around the world.