Journal of Sport Management and Marketing 2(5–6): 526–540.
Fife G., 2008. Tour De France: The History, the Legend, the Riders . Mainstream Publishing, edinburgh.
Fumey G., 2006. Le Tour de France ou le vélo géographique. Annales de Géographie 115(4): 388–408.
Huang W., Hong S. H., Eades P., 2007. Effects of sociogram drawing conventions and edge crossings in social network visualization. Journal of Graph Algorithms and Applications 11(2): 397–429.
Murrell, P. 2011. R Graphics , 2 nd ed. Boca Raton, FL: Chapman & Hall/CRC Press.
Sarkar, D. 2008. Lattice: Multivariate DataVisualization with R . New York: Springer-Verlag.
Wickham, H. 2016. ggplot2: Elegant Graphics for Data Analysis , 2 nd ed. New York: Springer-Verlag.
This paper describes pycdec, a Python module for the cdec decoder. It enables Python code to use cdec's fast C++ implementation of core finite-state and context-free inference algorithms for decoding and alignment. The high-level interface allows developers to build integrated MT applications that take advantage of the rich Python ecosystem without sacrificing computational performance. We give examples of how to interact directly with the main cdec data structures (lattices, hypergraphs, sparse feature vectors), evaluate translation quality, and use the suffix-array grammar extraction code. This permits rapid prototyping of new algorithms for training, data visualization, and utilizing MT and related structured prediction tasks.
It is possible to make analyses within the field of GIS applying cellular automata. One of the purposes of socio-economic geography is indirect understanding of the phenomenon by analyzing spatial patterns and inferring spatio-temporal processes looking rather for local hotspots. The cellular automata are the tool both for spatio-temporal inferring based on local conditions and data visualization. The evidence is the case study of spatial simulation of Warsaw Urban Area (Poland).
The author verifies the hypothesis that the present layout and extent of the Warsaw agglomeration determines further directions of the city’s spatial development. To this end, he employs a method based on cellular automata theory.
Migration has a principal influence on countries’ population changes. Thus, the issues connected with the causes, effects and directions of people’s movements are a common topic of political and academic discussions.
The aim of this paper is to analyse the spatial distribution of officially registered foreign migration in Poland in 2012. GIS tools are implemented for data visualization and statistical analysis. Geographically weighted regression (GWR) is used to estimate the impact of unemployment, wages and other socioeconomic variables on the foreign emigration and immigration measure. GWR provides spatially varying estimates of model parameters that can be presented on a map, giving a useful graphical representation of spatially varying relationships.
This paper presents a project-oriented laboratory. It is intended to provide an educational and research environment that stimulates innovative solutions in the growing field of Bioengineering. The authors took the advantages of the emerging technology and the increasing popularity of wearable biomonitoring devices, to teach students the key elements regarding the application of Information Technology in health monitoring. The students were involved in a complex project, along which they gain basic knowledge about the software development for biomonitoring, and apply it to effectively develop common structures and software applications. There are presented the stages of the laboratory work, with illustrations of the applications implementation at different levels of the hierarchy, starting from collecting data from the biomonitoring device, and finalizing with the data visualization by the end-user.
In the presence of massive data coming with high heterogeneity we need to change our statistical thinking and statistical education in order to adapt both - classical statistics and software developments that address new challenges. Significant developments include open data, big data, data visualisation, and they are changing the nature of the evidence that is available, the ways in which it is presented and the skills needed for its interpretation. The amount of information is not the most important issue – the real challenge is the combination of the amount and the complexity of data. Moreover, a need arises to know how uncertain situations should be dealt with and what decisions should be taken when information is insufficient (which can also be observed for large datasets). In the paper we discuss the idea of computational statistics as a new approach to statistical teaching and we try to answer a question: how we can best prepare the next generation of statisticians.
Advanced terrain models are currently commonly used in many video/computers games. Professional GIS technologies, existing spatial datasets and cartographic methodology are more widely used in their development. This allows for achieving a realistic model of the world. On the other hand, the so-called game engines have very high capability of spatial data visualization. Preparing terrain models for the purpose of video games requires knowledge and experience of GIS specialists and cartographers, although it is also accessible for non-professionals. The authors point out commonness and variety of use of terrain models in video games and the existence of a series of ready, advanced tools and procedures of terrain model creating. Finally the authors describe the experiment of performing the process of data modeling for “Condor Soar Simulator”.
Map projections are very important in the compilation of various types of maps and spatial databases. Geographical information systems provide their users with the significant opportunities in the choice of map projections, coordinate systems, their definitions and transitions between them. The role of map projection can be considered depending on an objective, for which a map has to be used, user of this map and a form of its publication. The Internet, mobile devices and GIS caused that the map projections are used for two main purposes: data visualization and performing of calculations and analyses. The role of map projections is still important, despite the changes occurring in cartography. The rules for the applications of map projections developed over the centuries are still valid. However, the new rules resulting from the new functions of map projections are also created. The aim of this article, that is the author’s overview of map projections, is to illustrate the broad spectrum of applications for the map projections.
Marin Fotache, Gabriela Mesnita, Florin Dumitriu and Georgiana Olaru
Information Systems (IS) analysts and designers have been key members in software development teams. From waterfall to Rational Unified Process, from UML to agile development, IS modelers have faced many trends and buzzwords. Even if the topic of models and modeling tools in software development is important, there are no many detailed studies to identify for what the developers, customers and managers decide to use the modeling and specific tools. Despite the popularity of the subject, studies showing what tools the IS modelers prefer are scarce, and quasi-non-existent, when talking about Romanian market. As Romania is an important IT outsourcing market, this paper investigated what methods and tools Romanian IS analysts and designers apply. In this context, the starting question of our research focuses on the preference of the developers to choose between agile or non-agile methods in IT projects. As a result, the research questions targeted the main drivers in choosing specific methods and tools for IT projects deployed in Romanian companies. Also, one of the main objectives of this paper was to approach the relationship between the methodologies (agile or non-agile), diagrams and other tools (we refer in our study to the CASE features) with other variables/metrics of the system/software development project. The observational study was conducted based on a survey filled by IS modelers in Romanian IT companies. The data collected were processed and analyzed using Exploratory Data Analysis. The platform for data visualization and analysis was R.