Overview of key technologies
This document details the key technologies that underlie Eonfusion's various capabilities. If you're interested to know more detail about how Eonfusion does what it does, we recommend reading this document. Click the link below to either open or save the pdf file.
Workflow in Eonfusion
You've seen pictures of Eonfusion's rich 4D scenes and read about its features, but how does an Eonfusion user actually make these things happen? Eonfusion workflow consists of two main parts: building a dataflow and building a scene view. A dataflow is built by simply creating dataflow objects ...
Flexible multi-dimensional data model
Eonfusion's multi-dimensional data model frees you from the constraints that are imposed by many spatial data processing tools. The scene views that are used for visualizing data are presented in generic 4-space: the traditional x, y, z and time could just as easily be any other four coordinates. ...
Seamless treatment of time data
Treatment of time-varying data is slowly becoming more common amongst data-handling software packages. However, in many cases support for time data is implemented as a cumbersome add-on feature. In Eonfusion time data is seamlessly treated as a vertex attribute in the data structure and as a ...
Powerful ability to migrate attributes
Coincident visualization of multiple data sets in space and time is exciting and powerful, but even more powerful is the ability to migrate attributes from one dataset to another. Eonfusion provides this ability through vector fusion and raster attribute transfer. Vector fusion allows vector data ...
Multiple layers of user extensibility and sharing
When working with multiple data sets it's important that tools meet the needs of multiple stakeholders, who often have different levels of involvement in processing the data. Eonfusion is built to cater to the needs of groups, by virtue of multiple layers of user extensibility and sharing ...
Easy data visualization, analysis and fusion
Eonfusion gives you the ability to do things with your data that you've never done before, through a fast and simple interface that you can quickly learn how to use. It combines: jaw-dropping visualization genuine multi-layered data fusion flexible data analysis, either in-program or via ...
Scale-independent data handling
Resampling raw data by averaging or gridding is required by many data handling packages. However important (and often expensive!) information is lost during this data "preparation" phase. Eonfusion makes no rules about the scale or granularity of data that is loaded, processed and ...
