Project#
LUE is software for storing and manipulating large amounts of information for large numbers of objects. This information can optionally have a reference in time and space. For example, LUE can represent collections of wandering animals and their properties, some of which are changing through time, or the elevation of the surface of one or multiple areas. The software is useful, and currently mainly used, in the context of environmental modelling of biological and physical systems, represented by agents and fields, but we make sure that the software is as generic as possible, allowing it to be useful in other contexts as well.
Currently, LUE contains two main parts: LUE data model and LUE framework. LUE data model is an implementation of the LUE physical data model, which allows users to perform I/O to the “LUE Scientific Database”. It allows for the storage of large numbers of objects and their location in time and space, and their properties.
LUE framework is a collection of data types and algorithms that can be combined to translate large amounts of information. It allows computations to be performed on hardware ranging from laptops to compute clusters, without the user having to know about high-performance computing and the related technology.
The LUE data model is described in more detail in [de Bakker et al., 2017] and [de Jong and Karssenberg, 2019]. Details about the LUE framework can be found in [de Jong et al., 2021] and [de Jong et al., 2022].
LUE is the result of multiple research projects performed by the Computational Geography group at Utrecht University in The Netherlands. One of the focus areas of this group is to improve on the concepts and design of environmental modelling frameworks, with respect to their functionality and performance. The LUE software allows us to test our ideas. Our goal with LUE is to keep the ideas that work well, and eventually turn the software into an environmental modelling framework that is useful for domain experts.
In case you want to contact us, the LUE R&D team uses this e-mail address: lue@computationalgeography.org.