Geotechnical data is often produced and managed by several producers in isolation, their own formats standards, which aim to meet the unique needs of specific users. In Federal District Brazil there a large amount geotechnical from academic research, public private sector, but Government does not have adequate information management despite using that constantly. This work presents conceptual m...

Extreme precipitation events can lead to disastrous floods, which are the most significant natural hazards in Mediterranean regions. Therefore, a proper characterization of these is crucial. defined as annual maxima be modeled with generalized extreme value (GEV) distribution. Owing spatial heterogeneity, distribution extremes non-stationary space. To take non-stationarity into account, paramet...

A systematic way of defining variants of a modeling language is useful for adopting the language to domain or project specific needs. Variants can be obtained by adopting the syntax or semantics of the language. In this paper, we take a formal approach to define modeling language variability and show how this helps to reason about language variants, models, and their semantics formally. We intr...

Modeling skills are essential during the process of learning programming. ITS systems for modeling are typically hard to build due to the ill definedness of most modeling tasks. This paper presents a system that can teach UML skills to novice programmers. The system is “simple and cheap” in the sense that it only requires an expert solution against which the student solutions are compared, but ...

Variability modeling techniques are used to specify variable aspects of members of a family of related software artifacts. Instances of variability models are then used to efficiently produce members of such a family. By making variability explicit, variability models determine implicitly the common properties among family members as well. This partitioning of information into variable and inva...

The game of football demands new computational approaches to measure individual and collective performance. Understanding the phenomena involved in the game may foster the identification of strengths and weaknesses, not only of each player, but also of the whole team. The development of assertive quantitative methodologies constitutes a key element in sports training. In football, the predictab...

ESRI has 25 years of experience creating spatial modeling tools for vector and raster analysis. In the last five years we have built a geoprocessing modeling environment that synthesizes our experience in spatial modeling into an easy to use, flexible framework. Within the framework hundreds of spatial modeling functions are available each as individual tools that can be accessed from dialogs, ...

The objective of this paper is to propose a new algebra, called decision map algebra (DMA), especially devoted to multicriteria spatial modeling. DMA is a generic and context-independent modeling language inspired from map algebra and other similar languages. It supports the conventional geometric objects and cartographic maps and adds a rich set of new operands representing different spatial m...