The new AnimatedFlowRenderer (beta) visualizes flow direction and magnitude information for meteorology and oceanography raster data.
In the following example, we are visualizing a hosted imagery tile layer containing wind magnitude and direction data (NLDAS 2011 wind data from NASA). The speed of line animations corresponds to the underlying concept of speed magnitude, and the continuous nature of the visualization makes it easier to spot patterns in the data. We first introduced this visualization technique as a custom WebGL implementation, but with this release, it is built into the API and is easily applied as the renderer for your imagery layers. It also works well with layer effects and blending, as shown in the below animation and this sample: AnimatedFlowRenderer with effects and blending.
We will continue to enhance the animated flow renderer in subsequent releases, for example, support for visual variables to drive aspects such as line opacity and color, and integration with the time slider.
As part of our ongoing efforts to improve performance, we reduced memory usage up to 50% for applications with feature layers using simple polygons and simple polygon outlines by streamlining how vertex data is encoded. This will help increase stability on resource-constrained devices such as phones and tablets.
Make your scenes look more realistic by configuring weather conditions from sunny to cloudy and even foggy. You can adjust cloud cover, fog strength, and the time-of-day to add realistic weather at ground level. Check out clouds at night! This release also includes improvements to atmosphere, providing more realistic lighting particularly around sunrise and sunset.
Use patterns in lines or polygon outlines to symbolize additional information, for example, to differentiate between planned and existing features. A new class LineStylePattern3D supports a variety of styles, on par with existing 2D capabilities. Patterns can be driven by attribute values, combined with visual variables, and displayed draped on the ground or elevated.
Build web apps that visualize your multidimensional spatial and temporal information as a 3D volume via the new voxel layer. For example, they are used to visualize atmospheric or oceanic data, a geological underground model, or space-time cubes as voxel layers. You can use them to explore spatial relationships with other content by visualizing them together. For example, you might want to view an underground geological model with boreholes or construction that is planned in an area. Upcoming releases will add support for explorative tools and popups to inspect individual voxels. In the near future, voxel layers will also be supported in web scenes. Please share any feedback you have in this Esri Community post.
Utility network tracing is often used to help deliver resources to customers, track the health of a network, and identify deteriorating areas. In version 4.20, we introduced utility network tracing, which could be accessed programmatically via a trace method. With 4.22, the new utility network trace widget provides a user experience for running a trace. The widget allows users to set the starting point for the network trace, and barrier points are added to mark the locations for stopping the trace.
These ramps include dozens of newly designed above-and-below ramps that emphasize middle values, in addition to the values above and below the critical middle value. Traditionally, above and below color ramps use neutral hues that blend in with the basemap, making it difficult to see those points. There are many scenarios where that is desirable (e.g. where the important values are further from the center). However, we added ramps that make the middle values more obvious so users can easily see the locations of all data points, especially when middle values are important to highlight in addition to the extremes.
We added new guide topics that discuss tips for displaying High density data in a meaningful way. This chapter demonstrates seven effective techniques for visualizing data with overlapping features, including clustering, heatmap, opacity, bloom, aggregation, thinning, and visible scale range. A summary of these concepts is described in the Techniques for visualizing high density data on the web blog.
We improved the polyline labeling experience by giving developers more control and configuration options:
Parallel labels: Previously, the API only allowed for a “curved” labelPosition, which meant each of the label characters followed the curve of the polyline. Version 4.22 introduces an additional “parallel” option that ensures the label characters will always be straight, and the orientation of the label will be based on the polyline curve angle.
Repeat frequency: Control over the distance between repeated labels on a polyline.
Overrun labels: Configure whether labels are to overrun the geometry feature being labeled, e.g. after the end of a polyline segment.
See the images below to compare how the more flexible polyline labeling works:
Refresh data: With this release, you can configure CSV, GeoRSS, and GeoJSON layers to refresh; this means that new data is fetched after those layers are initialized and loaded in the map. This can be done once (explicitly) or periodically by setting a timeframe for the refresh to occur (in minutes).
Custom parameters: We also added support for custom parameters on both CSV and GeoJSON layers. This property is used to set additional query parameters when the layer is initialized or refreshed. Check out this sample to see refresh and custom parameters in action on the GeoJSON layer.
GeoJSON in webmaps and webscenes: Author and save webmaps and webscenes that include GeoJSON layers. This is done using the ArcGIS Online authoring experience in Map Viewer and the Scene Viewer, or programmatically in your app.
A variety of improvements have been made to the popup:
Only show popups for visible features: As of version 4.22, the popup only displays for features visible in the map. If there is a filter applied, only the features that pass the filter will return a popup. We will continue to improve popup behaviors in coming releases.
Optimized performance: The popup only makes one query to the server for missing attributes if not all required attributes are available on the client. No server requests are made if all attributes are available on the client.
Automatic preview of attachments: If the feature layer’s capabilities include resizing attachments (supportsResizeAttachments), the content will display in preview mode like this:
Map effects apply graphics software-like effects to features in a map layer. Feature-specific effects take the next step by allowing map authors to emphasize some features in a layer with one kind of effect and de-emphasize the rest using a different effect. While this capability has been available programmatically via the API for quite a while, it is new to the ArcGIS Online Map Viewer (part of the December 2021 update). It offers a great experience for playing around with the effects and feature filtering using map authoring tools, which can be saved to your web map and easily loaded into your web app. Persisting featureEffects in layers – either in Map Viewer or programmatically in your JS app – is supported for the following layer types: CSV, GeoJSON, feature layers, OGC feature layers and WFS layers. See the release notes for implementation details.
MapView.hittest now returns all features that intersect the specified screen coordinates from a graphics layer. Previously, it only returned the topmost feature from a graphics layer. We will implement this behavior for other layers in upcoming releases.
When the scale of the view is less than or equal to 1:300,000, the Search widget prioritizes candidates based on their distance from the center of the view. You can choose to override this default behavior by using the localSearchDisabled property.
The Bookmarks widget was updated to support a new dimension – time. Clicking on a time-enabled bookmark affects not only the viewpoint but also the timeframe of the map by setting the view’s time extent. In the below example, hurricanes and storms are visualized using a time slider from 1965 to 2015. The bookmarks are used to jump between different time periods when hurricanes occurred. Since the time slider is setting the View.timeExtent, any new bookmarks created by the user will automatically be time-enabled.
There’s quite a bit more to this release, including time support for imagery tile layers and WCS layers, easier graphic selection when sketching, and better display of overlapping polygon features. For the full scoop on the release, check out the release notes and take the new capabilities for a test drive using the latest samples.
3.x news: End of support for Internet Explorer 11
Support for Internet Explorer 11 and Microsoft Edge Legacy was deprecated at 3.35 and is discontinued as of version 3.39.