Today we launch a significant upgrade to the SCALGO Live user experience. We have redesigned the user interface, so that you can easier access the information you care about. This allows you to focus on your task instead of spending time searching for a particular data set.
The new user interface replaces the left sidebar with a dock - that enables you to control which content you want displayed. This means that you can personalize your dock by adding or removing workspaces, data and analyses stored in the library. We have initialized the dock with our most popular analyses and data sets, but we encourage you to browse the library to find additional data. The content of the dock is persistent, so you do not have to worry about configuring your favorite setup across logins.
We understand this is a big change to your everyday work with SCALGO Live. Therefore, the classic SCALGO Live user interface will be available for a while longer to avoid any frustrations or complications during the transition. Should you decide to switch back to the classic user interface, we highly appreciate any feedback from you. You will be able to find a build-in mechanism that enables you to easily provide any thoughts and ideas for improving the new SCALGO Live experience, but as always, you are also welcome to send us an e-mail.
As part of the release, it is now possible to export the current map view as high resolution JPEG and PDF files. Look for the tool in the Actions menu in the top right corner.
Scalable Algorithmics (SCALGO) was founded with the mission to bring cutting-edge big terrain data processing technology to market. The SCALGO technology is based on more than two decades of basic and applied research on I/O-efficient and geometric algorithms at Center for Massive Data Algorithmics (MADALGO) at Aarhus University in Denmark and at Duke University in the US, in collaboration with industry LiDAR and environmental GIS application experts. SCALGO provides a range of desktop software, analysis and online large-area detailed terrain data set processing and analysis products.