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Titlebook: Dynamics in GIscience; Igor Ivan,Jiří Horák,Tomáš Inspektor Conference proceedings 2018 Springer International Publishing AG 2018 Big Data

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Multilingual Sentiment Mapping Using Twitter, Open Source Tools, and Dictionary Based Machine Transmessages is acceptable as a counterweight for these general requirements. The paper presents sample data collection from Twitter for the opinion mining purposes. We perform multilingual sentiment analysis of the collected data and briefly explain experimental results. The analysis is made with the u
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Dynamic Zoning in the Course of GIS-Based Football Game Analysis,conception of . for analysing the teams’ offensive qualities based upon the defenders’ zone’s vertical height. This paper’s overall objective is to highlight the benefits of . in the course of football game analyses. Moreover, the demonstration of the tools’ functionality is intended to foster the d
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Configuration of Wireless Sensor Network in Olomouc,
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Risk Management as a Stimulus for a Settlement and Landscape Transformation? Soil Erosion Threat As
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1863-2246 me applications; dynamics in land use, land cover and urban development; visualisation of dynamics; open spatiotemporal data; crowdsourcing for spatiotemporal data and big spatiotemporal data.978-3-319-87044-1978-3-319-61297-3Series ISSN 1863-2246 Series E-ISSN 1863-2351
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Conference proceedings 2018research dynamic. Time is the key element of contemporary GIS: mobile and wearable electronics, sensor networks, UAVs and other mobile snoopers, the IoT and many other resources produce a massive amount of data every minute, which is naturally located in space as well as in time. Time series data is
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1863-2246 tiotemporal data.Presents a combination of theoretical paperThis book is intended for researchers, practitioners and students who are interested in the current trends and want to make their GI applications and research dynamic. Time is the key element of contemporary GIS: mobile and wearable electro
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