A spatial decision support system (SDSS) has been developed that combines data from trial sites with expert knowledge and biophysical data to predict where different crops may be successful. The tool is proving useful for the analysis of highly specialised crops, such as specialty coffee, where little trial data is available and variables influencing crop response are crop-specific. The SDSS pr...

Mangroves are an important terrestrial carbon reservoir with numerous ecosystem services. Yet, it is difficult to inventory mangroves because of their low accessibility. A sampling approach that produces accurate assessment while maximizing logistical integrity of inventory operation is often required. Spatial decision support systems (SDSSs) provide support for integrating such a sampling desi...

The decision-making process regarding heating supply system options in a district perspective is extremely challenging. This paper aims to present a new method to support urban energy decisions in real-time processes, which was developed in the context of a European project (DIMMER (District Information Modeling and Management for Energy Reduction, 2013–2016)). The method is composed of three p...

In this paper I will report on the development of a new spatial understanding support system (SUSS) for representing community disputes. It is argued that the more traditional approach of spatial decision support systems (SDSS) has had limited success in its application to actual community conflicts. In this study I have therefore adopted an alternative approach to spatial decision support, bro...

The planning and territorial management process is often disparaged and subjected to criticism based on the way environmental decisions are taken. The lack of transparency and the high technical level of the Environmental Impact Assessment process do not ease public agreement. The increasing development in Geographical Information technologies has helped the construction of GIS-based Spatial De...

Decision support systems (DSSs) in water management should preferably consist of appropriate models, which are complex enough to represent important processes at a balanced level, but not unnecessarily refined, taking into account research objectives, data availability and uncertainties. This idea is illustrated by applying a methodology for the determination of appropriate scales to the hydrol...

The Stream Decision Support System (SDSS) is taking advantage of both supervised and nonsupervised artificial neural networks (ANNs) for stream assessment and prediction by an integrated approach. Non supervised ANNs were applied for patterning the natural variability in stream macroinvertebrate communities in Queensland. Supervised ANNs were developed for the prediction of the occurrence of st...

Organizations and individuals are calling for the universal availability of broadband as a national imperative by 2010. Although the United States has the requisite cross-continental fiber-optic backbone infrastructure in place, only 2% to 5% of that nationwide network is used today. This is because of the prohibitive cost necessary to extend the backbone to many small businesses and homes, eve...

This paper presents a so-called systemic decision support system (SDSS) to support decision-making in a complex business environment. The approach can be applied by both private and public enterprises and organisations in their long-term strategic considerations. The approach consists of a framework that is adapted to the particular task by combining appropriate methodologies of different type ...