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to Microsoft Excel 2007 and provides users with several APIs for social media such as YouTube, Twitter, Facebook, and Flicker. A particularly important aspect of NodeXL is that social science researchers can improve the efficiency of data

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Constant stream of data has been generated and stored as more devices are being connected to the internet and supported with cloud technologies. The price drop of such applications along with industry 4.0 trending, triggered an explosive growth and demand for many IT modern solutions. From an industrial point of view, sensorization practices are spreading through factories and warehouses where software is constantly adapting to provide actionable insights in a data-driven configuration. The fourth industrial revolution is empowering the manufacturers with solutions for cost reduction, which translates in competitive advantage. The sector of maintenance operations is leading in engineering innovation, from reactive to planned preventive techniques the next step in history of proactive approaches is Predictive Analytics Maintenance.

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Data visualization techniques have opened up new possibilities for science mapping. To exploit this opportunity new methods are needed to position tens of thousands of documents in a single coordinate space. A general framework is described for achieving this goal involving hierarchical clustering, ordination of clusters, and the merging of ordinations into a common coordinate space. The SciViz system is presented as one particular implementation of this framework.

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The study examines the problems and possibilities presented by the digitization of national folklore archives and collections in the wider context of folklore archiving and digital humanities. The primary goal of the study is to present a problem-oriented and critical overview of the available digital databases containing folklore texts (WossiDiA, Sagragrunnur, ETKSpace, Danish Folklore Nexus, Nederlandse VolksverhalenBank, The Schools’ Collection, etc.), and of the analyses conducted on these using computational methods. The paper first presents a historical overview of the conceptualization that went into the creation of folklore databases (genre-centered, collector, and collection-centered approaches), followed by a discussion of the practical, technical, and theoretical aspects of digital content creation (crowdsourcing, markup languages, TEI, digital critical editions, etc.). The study then takes a look at the new digital tools and methods applied in the analysis of digitized folklore texts (text-mining, network theory methods, data visualization), and finally places databases and computational folkloristics within a larger theoretical framework.

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The management of an urban context in a Smart City perspective requires the development of innovative projects, with new applications in multidisciplinary research areas. They can be related to many aspects of city life and urban management: fuel consumption monitoring, energy efficiency issues, environment, social organization, traffic, urban transformations, etc.

Geomatics, the modern discipline of gathering, storing, processing, and delivering digital spatially referenced information, can play a fundamental role in many of these areas, providing new efficient and productive methods for a precise mapping of different phenomena by traditional cartographic representation or by new methods of data visualization and manipulation (e.g. three-dimensional modelling, data fusion, etc.). The technologies involved are based on airborne or satellite remote sensing (in visible, near infrared, thermal bands), laser scanning, digital photogrammetry, satellite positioning and, first of all, appropriate sensor integration (online or offline).

The aim of this work is to present and analyse some new opportunities offered by Geomatics technologies for a Smart City management, with a specific interest towards the energy sector related to buildings. Reducing consumption and CO2 emissions is a primary objective to be pursued for a sustainable development and, in this direction, an accurate knowledge of energy consumptions and waste for heating of single houses, blocks or districts is needed.

A synoptic information regarding a city or a portion of a city can be acquired through sensors on board of airplanes or satellite platforms, operating in the thermal band. A problem to be investigated at the scale

A problem to be investigated at the scale of the whole urban context is the Urban Heat Island (UHI), a phenomenon known and studied in the last decades. UHI is related not only to sensible heat released by anthropic activities, but also to land use variations and evapotranspiration reduction. The availability of thermal satellite sensors is fundamental to carry out multi-temporal studies in order to evaluate the dynamic behaviour of the UHI for a city.

Working with a greater detail, districts or single buildings can be analysed by specifically designed airborne surveys. The activity has been recently carried out in the EnergyCity project, developed in the framework of the Central Europe programme established by UE. As demonstrated by the project, such data can be successfully integrated in a GIS storing all relevant data about buildings and energy supply, in order to create a powerful geospatial database for a Decision Support System assisting to reduce energy losses and CO2 emissions.

Today, aerial thermal mapping could be furthermore integrated by terrestrial 3D surveys realized with Mobile Mapping Systems through multisensor platforms comprising thermal camera/s, laser scanning, GPS, inertial systems, etc. In this way the product can be a true 3D thermal model with good geometric properties, enlarging the possibilities in respect to conventional qualitative 2D images with simple colour palettes.

Finally, some applications in the energy sector could benefit from the availability of a true 3D City Model, where the buildings are carefully described through three-dimensional elements. The processing of airborne LiDAR datasets for automated and semi-automated extraction of 3D buildings can provide such new generation of 3D city models.

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Acta Alimentaria
Authors: K. Szentmihályi, G. A. Csiktusnádi-Kiss, Á. Keszler, L. Kótai, M. Candeaias, M. R. Bronze, L. V. Boas, E. Forgács, and I. Spaugner

Haswell, S. J. & Walmsley, A. D. (1998): Multivariate data visualization method based on multi-elemental analysis of wines and coffees using total reflection X-ray fluorescence analysis. J. Anal. At. Spectrom. , 13 , 131

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us . Oxford : British Academy . 85 – 102 . Lüdecke , Daniel . 2018 . sjPlot: Data visualization for statistics in social science . R package version 2.6.2 . https

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Authors: Zsuzsanna Surányi, Ádám Babocsay, Szabolcs Takács, and András Vargha

. 15. Fyfe , C. ( 2007 ): Two topographic maps for data visualisation . Data Mining Knowledge Discovery , 14 ( 2 ), 207 – 224 . 16. Glicksohn , J

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Data Visualization with R . Springer , New York . Diaz , M. , T. Santos and J.L. Telleria . 1999 . Effects of forest

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Community Ecology
Authors: J. H. Fischer, C. F. McCauley, D. P. Armstrong, I. Debski, and H. U. Wittmer

D Borsboom . 2017 . qgraph - Graph plotting methods, psychometric data visualisations and graphical model estimation. R package version 1.4.4. CRAN. Fischer , J.H. , J. Chambon

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