How do the JSON and Object and description table of Azavea city API work?

In this article, I will clarify the object table and JSON output of the Azavea City API. As a programmer, you are likely familiar with object tables and JSON output. However, the specifics of how they are structured and used within the Azavea City API may not be immediately clear. By breaking down the nuances of these two concepts, I hope to provide a clearer understanding of how they operate within the Azavea City API, and how they can be leveraged for your programming needs.

Object and Description

1. type: The type of data returned by the API call.

2. count: The total number of features returned by the API call.

3. next: A link to the next page of results, if there are any.

4. previous: A link to the previous page of results, if there are any.

5. features: An array of feature objects, each representing a geographical feature such as a point, line, or polygon.

6. id: A unique identifier for each feature.

7. geometry: An object representing the geometry of the feature, including its type and coordinates.

8. type (in geometry): The type of geometry, such as Point, LineString, or Polygon.

9. coordinates (in geometry): An array of coordinates defining the shape of the feature.

10. properties: An object containing additional information about the feature, such as its name, population, and administrative information.

11. datasets: An array of datasets that the feature belongs to.

12. proximity: An object containing information about the feature's proximity to other features.

13. ocean: An object containing information about the feature's location in the ocean.

14. name: The name of the feature.

15. admin: An object containing administrative information about the feature, such as its country, region, and local authority.

16. population: The population of the feature's location.

The information in the table is useful because it provides a clear and concise overview of the objects returned by the Azavea City API. As a programmer, understanding the structure of the data returned by an API is crucial for efficiently utilizing that data in your application. By having a detailed understanding of each object and its purpose, developers can more easily parse and manipulate the data to suit their needs. Additionally, this information can help developers to build more robust error handling and data validation mechanisms, as they have a clear understanding of what objects and fields they can expect to receive from the API. Overall, the information in the table provides an essential reference point for developers looking to work with the Azavea City API.

Clarifying JSON output

The JSON output represents a single feature collection returned by an API call. The type attribute indicates that the feature collection is a set of geographic features. The count attribute shows the number of features in the collection, in this case only one. The next attribute contains a link to the next page of results, while previous is null, indicating that there are no previous pages. The features array contains a single feature object, which includes an id, type, geometry, and properties. The geometry object is a Point type, with latitude and longitude coordinates for the feature. The properties object includes information about the feature, such as the datasets that it belongs to, its proximity to the ocean, the name of the city, the admin state abbreviation, and the population of the city. In this case, the feature represents New York City, which belongs to the NEX-GDDP and LOCA datasets, has an ocean proximity, and a population of 8,175,133.

{
"type": "FeatureCollection",
"count": 1,
"next": "http://example.org/api/city/?page=2",
"previous": null,
"features": [
{
"id": 1,
"type": "Feature",
"geometry": {
"type": "Point",
"coordinates": [
-74.00597,
40.71427
]
},
"properties": {
"datasets": ["NEX-GDDP", "LOCA"],
"proximity": {
"ocean": true
},
"name": "New York City",
"admin": "NY",
"population": 8175133
}
}
]
}

Conclusion

Today, we discussed the object table and JSON output of the Azavea City API. We converted an HTML table into a list and provided a detailed description of each object. We also examined a JSON output example that contained a single feature object representing New York City. Understanding the structure and content of API responses is crucial for effectively using and manipulating data in software development. By providing clear and concise information about the objects returned by an API, developers can more easily incorporate that data into their applications.

Note

You can request access to the Azavea City API through the third party data marketplace of World in Data. World in Data provides access to a variety of datasets and APIs, including the Azavea City API. To request access, you can create an account on the World in Data website and navigate to the "Data Marketplace" section. From there, you can select the Azavea City API and submit a request for access. Once your request has been approved, you will be provided with an API key that you can use to access the data. By leveraging the World in Data marketplace, developers can easily gain access to a variety of datasets and APIs, making it an excellent resource for those looking to incorporate data into their applications.