Google Street View provides panoramic 360 degree views from designated roads throughout its coverage area. Street View's API coverage is the same as that for the Google Maps application ( ). The list of currently supported cities for Street View is available at the Google Maps website.

Although Street View can be used within a standalone DOM element, it is most useful when indicating a location on a map. By default, Street View is enabled on a map, and a Street View Pegman control appears integrated within the navigation (zoom and pan) controls. You may hide this control within the map's MapOptions by setting streetViewControl to false. You may also change the default position of the Street View control by setting the Map's streetViewControlOptions.position property to a new ControlPosition.


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The Street View Pegman control allows you to view Street View panoramas directly within the map. When the user clicks and holds the Pegman, the map updates to show blue outlines around Street View-enabled streets, offering a user experience similar to the Google Maps app.

Street View images are supported through use of the StreetViewPanorama object, which provides an API interface to a Street View "viewer." Each map contains a default Street View panorama, which you can retrieve by calling the map's getStreetView() method. When you add a Street View control to the map by setting its streetViewControl option to true, you automatically connect the Pegman control to this default Street View panorama.

You may also create your own StreetViewPanorama object and set the map to use that instead of the default, by setting the map's streetView property explicitly to that constructed object. You may wish to override the default panorama if you want to modify default behavior, such as the automatic sharing of overlays between the map and the panorama. (See Overlays within Street View below.)

The StreetViewPanorama constructor also allows you to set the Street View location and point of view using the StreetViewOptions parameter. You may call setPosition() and setPov() on the object after construction to change its location and POV.

On devices that support device orientation events, the API offers users the ability to change the Street View point of view based on the movement of the device. Users can look around by moving their devices. This is called motion tracking or device rotation tracking.

The default StreetViewPanorama object supports the native display of map overlays. Overlays generally appear at "street level" anchored at LatLng positions. (Markers will appear with their tails anchored to the location's horizontal plane within the Street View panorama for example.)

Additionally, when creating a map with a default StreetViewPanorama, any markers created on a map are shared automatically with the map's associated Street View panorama, provided that panorama is visible. To retrieve the default Street View panorama, call getStreetView() on the Map object. Note that if you explicitly set the map's streetView property to a StreetViewPanorama of your own construction, you will override the default panorama.

The Maps JavaScript API supports the display of custom panoramas within the StreetViewPanorama object. Using custom panoramas, you can display the interior of buildings, views from scenic locations, or anything from your imagination. You can even link these custom panoramas to Google's existing Street View panoramas.

Each Street View panorama is an image or set of images that provides a full 360 degree view from a single location. The StreetViewPanorama object uses images that conform to the equirectangular (Plate Carre) projection. Such a projection contains 360 degrees of horizontal view (a full wrap-around) and 180 degrees of vertical view (from straight up to straight down). These fields of view result in an image with an aspect ratio of 2:1. A full wrap-around panorama is shown below.

Street View also supports different levels of image detail through the use of a zoom control, which allows you to zoom in and out from the default view. Generally, Street View provides five levels of zoom resolution for any given panorama image. If you were to rely on a single panorama image to serve all zoom levels, such an image would either necessarily be quite large and significantly slow down your application, or be of such poor resolution at higher zoom levels that you would serve a poorly pixellated image. Luckily, however, we can use a similar design pattern used to serve Google's map tiles at different zoom levels to provide appropriate resolution imagery for panoramas at each zoom level.

When a StreetViewPanorama first loads, by default it displays an image consisting of 25% (90 degrees of arc) of the horizontal breadth of the panorama at zoom level 1. This view corresponds roughly with a normal human field of view. Zooming "out" from this default view essentially provides a wider arc, while zooming in narrows the field of a view to a smaller arc. The StreetViewPanorama automatically calculates the appropriate field of view for the selected zoom level, and then selects imagery most appropriate for that resolution by selecting a tile set that roughly matches the dimensions of the horizontal field of view. The following fields of view map to Street View zoom levels:

Note that the size of the image shown within Street View is entirely dependent on the screen size (width) of the Street View container. If you provide a wider container, the service will still provide the same field of view for any given zoom level, though it may select tiles more appropriate for that resolution instead.

Because each panorama consists of an equirectangular projection, creating panorama tiles is relatively easy. As the projection provides an image with an aspect ratio of 2:1, tiles with 2:1 ratios are easier to use, though square tiles may provide better performance on square maps (since the field of view will be square).

I'm experimenting with adding Google Street View images to feature popups in the new map viewer in Enterprise 10.9.1. What I want to do is use an Arcade expression to build the api link using either the feature's coordinates or the address (if it has one). I can get Arcade to build the URL, but it doesn't bring anything in if I use that expression for the image URL. However, if I copy that same URL and put it in the URL box as text (rather than as from an expresssion), it works just fine. Is there a special workaround I need to get the calculated URL working properly?

Looks like I've answered my own question here: Upon inspecting what link comes out the other side where the image should be, I discovered the ampersands were getting replaced. Using URLEncode() on the whole link doesn't work, but I discovered I can just build a location string from address, street, town, and state, or from lat and long, and URLEncode() that. Then, I add the base URL as plain text to the URL box, with the expression inserted after "&location=".

Just for details from an academic point of view on how this was created, it is currently running in EB 1.11. I have node.js 14.18.1 on my machine. The react.js library I am using to pull in the StreetView is @react-google-maps/api. You do need a cloud subscription to use the API, and there is a small cost per usage. However, Google Maps provides a $200/month credit which we have had yet to get anywhere near.

an alternative option to google street maps would be mappilary. they have an addin for arcgis pro that does streetview side by side, seems like a less restrictive option with the same street level capabilites

Lat/lng from geocoding tends to not be recognized by street view as being too far from a street, sometimes getting the wrong street altogether, because the lat/lng it generates may be off the street, as it tries to match the location of a house.

The spread of COVID-19 is not evenly distributed. Neighborhood environments may structure risks and resources that produce COVID-19 disparities. Neighborhood built environments that allow greater flow of people into an area or impede social distancing practices may increase residents' risk for contracting the virus. We leveraged Google Street View (GSV) images and computer vision to detect built environment features (presence of a crosswalk, non-single family home, single-lane roads, dilapidated building and visible wires). We utilized Poisson regression models to determine associations of built environment characteristics with COVID-19 cases. Indicators of mixed land use (non-single family home), walkability (sidewalks), and physical disorder (dilapidated buildings and visible wires) were connected with higher COVID-19 cases. Indicators of lower urban development (single lane roads and green streets) were connected with fewer COVID-19 cases. Percent black and percent with less than a high school education were associated with more COVID-19 cases. Our findings suggest that built environment characteristics can help characterize community-level COVID-19 risk. Sociodemographic disparities also highlight differential COVID-19 risk across groups of people. Computer vision and big data image sources make national studies of built environment effects on COVID-19 risk possible, to inform local area decision-making.

For example, you might have done a good ground survey and recorded an excellent GPS trace of some roads, but you've forgotten a road name (and it doesn't appear on the OS data) so you use StreetView to virtually walk down that street and read the name off the street sign.Likewise you might use it to check exactly where that postbox was, or what the exact name of that shop on the corner is. ff782bc1db

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