Thanks to BigQuery, running complex correlations over billions or trillions of attributes is surprisingly easy. But don’t forget if your data does have some spatial component, a quick mapping visual can add some great context to your results.
Posted by Josh Livni Maps Developer Relations Team
We represent the overlay items with a protocol having two methods: updateWithPanoramaView and draw. The updateWithPanoramaView method updates an item’s screen location geometry, while draw draws it to the current graphics context.
We store all items to be drawn in a collection, update their positions based on the panorama position, and draw the collection in our view’s standard drawRect method.
If we want to make sure these items are drawn in a certain order that might change based on the data, we can add z-indexes to them and then sort the collection by z-index after we update them and before drawing.
II. Syncing the Overlay with the Panorama
To make sure this overlay view stays updated as the panorama moves beneath it, we can update the view’s data in an implementation of GMSPanoramaViewDelegate’sdidMoveCamera method. We can use a CADisplayLink to ensure the overlay view is redrawn at regular intervals, and use a flag to make sure it is only redrawn when necessary.
Optimization
CoreGraphics can be a bottleneck. [UIBezierPath strokePath] and [NSString drawAtPoint] are expensive as you can see by profiling with Instruments. For performance intensive applications, an alternative is to use OpenGL. Avoiding overdraw is always a good idea, so the first optimization, if needed, is to carefully examine what is being drawn to the screen, and draw only what is necessary.
III. Mapping data to the panorama view
The GMSProjection class has a pointForCoordinate method that returns the screen pixel location for a coordinate on the Map. This is useful for overlaying elements on top of a GMSMapView, and is used in the Sun Surveyor Map View to draw text related to sun and moon paths on top of the Map.
GMSPanoramaView has a similar method, pointForOrientation. This method allows us to query the panorama for a screen pixel location given a GMSOrientation (bearing and pitch tuple) relative to the panorama location, where the camera is stationed, at ground level. This is useful to make sure an item we overlay onto the view remains in the same location relative to the scene, even as the camera moves and the view shifts.
Because the camera has a Field of View that determines what is visible on the screen, some orientations are not visible (such as behind the camera position). pointForOrientation helpfully returns NAN (not a number) for such orientations, so we know the given orientation is not visible.
With sun path data already expressed in terms of orientation relative to the ground level of the viewer, drawing corresponding paths with screen pixel locations is easy. We map our data with pointForOrientation, and draw what is visible by checking the result for NAN.
The sample project uses a panorama of Sydney, Australia, looking west, with a sun path for 12/20/2013.
Bonus: altering the Field of View
Version 1.4.1 of the SDK added support for changing the GMSPanoramaCamera’s field of view (FOV). The field of view determines how much of the scene is visible on a device screen, as well as how much distortion around the edges of the view is present. Smaller values for FOV are the equivalent of having a telephoto lens on a real camera: it brings distant objects closer.
The Street View panorama viewer in the Google Maps SDK for iOS is an example of a great API. The GMSPanoramaView class is simple to understand and use. In the course of a weekend, I was able to deliver a fun, interactive and highly requested feature to Sun Surveyor’s iOS users. I can’t wait to see what people are able to do with this new Street View Panorama feature in my app, and I look forward to seeing all the other implementations that others develop!
Stonehenge, as seen from a Street View panorama in Sun Surveyor
Posted by Monica Tran, Google Maps API
Sun Surveyor visualizes the sun and moon in a variety of ways for photographers, filmmakers, solar industry professionals, architects, homebuyers, gardeners, and anyone needing to predict or understand the movement of the sun and moon.
Adam Ratana is a Carnegie Mellon University graduate living in, and loving, Pittsburgh, PA. He produces dance music as a member of Pittsburgh Track Authority, enjoys photography, traveling with his wife, and writing fun software in his free time. Adam also enjoys attending the Pittsburgh Cocoaheads chapter meetings.
Sun Surveyor visualizes the sun and moon in a variety of ways for photographers, filmmakers, solar industry professionals, architects, homebuyers, gardeners, and anyone needing to predict or understand the movement of the sun and moon.
Follow