axpand ng - New Generation Generalization
When we launched axpand ng we launched a breakthrough.
axpand ng is truly a new generation of map-making software. Model and cartographic generalization, as well as updating, are considered the most time-consuming tasks in the map-making process. As the overall quality of map products depends directly on this work, cartographers can spend several months of manual work on these tasks alone. Axes Systems has worked closely with leading map-making authorities, universities and research groups to develop a unique way to fully automate these tasks, maintaining the same high level of map quality that is produced manually. axpand ng is based on modern workflow technology and replicates the complex and intricate process of manual generalization at an incredibly high speed. Recent user results show that over 80% of the generalized map objects require no further editing by a cartographer, thereby reducing the need for human interaction to a minimum.
The life of a map starts after the first generalization and thereafter, updating is a recurring task until the end of a map life. axpand ng automates both the task of the first generalization as well as the following updating cycles. When geo-data is updated, axpand ng processes only those areas that are recognized as having relevant changes. This means that all of the generalization and editing that has ever taken place is maintained and only relevant changes to the data are included in re-processing. This unique approach of incremental updating in axpand ng assures the overall consistency of map products over time and update cycles and repeatedly saves significant amounts of time and money.
axpand ng embeds seamlessly into any GIS production infrastructure including, of course an existing axpand installation. Axes Systems provides services for setting up custom generalization workflows as well as for generalization as web services.
See generalization examples of German digital topographic maps at 1:10'000 and 1:25'000 scale. See examples of German topographic maps at 1:50'000 scale. See generalization examples of digital cartographic models here.
When it comes to automation, no one comes closer to 100%.
These examples show several steps in the generalization process. These include building generalization, simplification, aggregation and displacment, among others. After cartographic generalization is completed, text is automatically placed. (Source: Geoinformation Sachsen-Anhalt (LVermGeo) )
See examples of model generalization here.
Read a case study about swisstopo.
For more information about this truly remarkable breakthrough technology, contact us.