In another article, we described how a data object may have a related geopoint (or a collection of geopoints). One of the benefits of data-to-geo relationships is search by distance. That means Backendless can search for data objects using the location of the related geopoints.

In other articles, we have covered: how to declare a geo-to-data relationship in a data table schema and how to create relationships between an object in that schema and geopoints. Of course, both of the operations above can also be accomplished with the API. In this post, we are going to show how to retrieve…

In another article, we covered importing data table schemas, relations and data objects to Backendless with CSV files. The data import feature can also work with geolocation storage. The process is extremely simple – browse to a CSV file with the geolocation data and let Backendless process it.

The Backendless Geoservice supports a variety of ways to search for geopoints. So far we have reviewed how to search for geopoints in a radius or a rectangular area. There is also a partial match geopoint search. In addition to that, Backendless Console provides yet another way to search for data – the cross-category search….

Based on my research of the space we are in, Backendless is the only mBaaS platform that lets you use SQL queries when searching for data. The geolocation data managed by Backendless is not an exception.

In another article, we wrote about how to save Backendless data objects with related geopoint(s). The data-to-geo relations are bidirectional. That means that just as a data object can reference a geopoint (or more than one) as a relation, a geopoint may reference a data object or a collection of in its metadata as well.

In another article, we demonstrated sample code that shows how to search for Backendless geopoints in a radius. Now we will review the API for searching for geopoints in a rectangular area. The API is very similar to the one for search in radius, except the app must define the “view port” or the rectangular…

In the introductory post, we gave a brief description of the Backendless Geolocation service and wrote how to setup sample geodata. Now that we have a collection of geopoints, let’s look into the API to retrieve these points. Similar to data objects, Backendless returns geopoints using paged data.

Some of our other articles have covered what Backendless Geoservice is, how to populate a Backendless backend with sample data and how to run partial match geo searches. In this post, we will review the API for searching for geopoints in a circular shaped area or radius.