Tag: weather mapping

July 24

Create Faster Animated Weather Maps Using Multiple Tile Servers and the Google Maps API

One of the most challenging elements of utilizing large volumes of weather data for business can be performance. With weather as an input to nearly every industry in some regard, the importance of consistent, fast data retrieval and rendering is paramount. Loading high-resolution and layered imagery inefficiently can dramatically interrupt the smoothness of utilizing interactive and animated map elements within any application, online or otherwise. Fortunately for AerisWeather users, one can call upon multiple tile servers working in unison to dramatically increase render speed. Many customers already have integrations with third-party mapping platforms like Google, Mapbox, or Leaflet, so in...

February 27

Announcing Improvements to the AerisWeather Mapping Platform (AMP)

This week we are excited to announce new updates and features for AMP – our AerisWeather Mapping Platform. Japan Radar Expansion Within the AerisWeather Mapping Platform, radar is consistently the most popular layer in our customer applications.  With this knowledge in mind, we are continuing to invest resources into improving its accuracy and coverage.  Today, we are excited to announce we have expanded radar imagery coverage to include Japan. The radar information will update every 15 minutes and is available as part of our standard radar layer, thus immediately available to all AMP subscribers.  Check out this example below and add...

October 29

Integrating Weather Map Layers into QGIS via AerisWeather Mapping Platform (AMP)

Update: Please utilize resolved URLs for the moment when following this tutorial, including specifying a time offset. We are actively exploring resolutions to known issues when using map tile URLs ending in current.png within XYZ tile layers. GIS technologies have been revolutionizing the science of geospatial analysis since their inception. These powerful tools have been continuously and rapidly advancing to visualize and aid in solving problems. Here at AerisWeather, we use them regularly to model and test our own weather data and imagery, but also to capture, store, manipulate, analyze, manage, and present all types of geographical data in unison...