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46 results on '"Řezník, Tomáš"'

1. GloSIS: The Global Soil Information System Web Ontology

Author

Palma, Raul, Janiak, Bogusz, de Sousa, Luís Moreira, Schleidt, Kathi, Řezník, Tomáš, van Egmond, Fenny, Leenaars, Johan, Moshou, Dimitrios, Mouazen, Abdul, Wilson, Peter, Medyckyj-Scott, David, Ritchie, Alistair, Yigini, Yusuf, and Vargas, Ronald

Subjects
Computer Science - Information Retrieval
Abstract

Established in 2012 by members of the Food and Agriculture Organisation (FAO), the Global Soil Partnership (GSP) is a global network of stakeholders promoting sound land and soil management practices towards a sustainable world food system. However, soil survey largely remains a local or regional activity, bound to heterogeneous methods and conventions. Recognising the relevance of global and trans-national policies towards sustainable land management practices, the GSP elected data harmonisation and exchange as one of its key lines of action. Building upon international standards and previous work towards a global soil data ontology, an improved domain model was eventually developed within the GSP [54], the basis for a Global Soil Information System (GloSIS). This work also identified the Semantic Web as a possible avenue to operationalise the domain model. This article presents the GloSIS web ontology, an implementation of the GloSIS domain model with the Web Ontology Language (OWL). Thoroughly employing a host of Semantic Web standards (SOSA, SKOS, GeoSPARQL, QUDT), GloSIS lays out not only a soil data ontology but also an extensive set of ready-to-use code-lists for soil description and physio-chemical analysis. Various examples are provided on the provision and use of GloSIS-compliant linked data, showcasing the contribution of this ontology to the discovery, exploration, integration and access of soil data.

Published
2024

3. Linked Data Usages in DataBio

Author

Palma, Raul, Brahma, Soumya, Zinke-Wehlmann, Christian, Kirschenbaum, Amit, Charvát, Karel, Charvat Jr., Karel, Reznik, Tomas, Södergård, Caj, editor, Mildorf, Tomas, editor, Habyarimana, Ephrem, editor, Berre, Arne J., editor, Fernandes, Jose A., editor, and Zinke-Wehlmann, Christian, editor

Published
2021
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4. Linked Data and Metadata

Author

Zinke-Wehlmann, Christian, Kirschenbaum, Amit, Palma, Raul, Brahma, Soumya, Charvát, Karel, Charvát Jr., Karel, Reznik, Tomas, Södergård, Caj, editor, Mildorf, Tomas, editor, Habyarimana, Ephrem, editor, Berre, Arne J., editor, Fernandes, Jose A., editor, and Zinke-Wehlmann, Christian, editor

Published
2021
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5. Interpolation of Data Measured by Field Harvesters: Deployment, Comparison and Verification

Author

Řezník, Tomáš, Herman, Lukáš, Trojanová, Kateřina, Pavelka, Tomáš, Leitgeb, Šimon, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Athanasiadis, Ioannis N., editor, Frysinger, Steven P., editor, Schimak, Gerald, editor, and Knibbe, Willem Jan, editor

Published
2020
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6. Digital Earth for Disaster Mitigation

Author

Konecny, Milan, Bandrova, Temenoujka, Kubicek, Petr, Marinova, Silvia, Stampach, Radim, Stachon, Zdenek, Reznik, Tomas, Guo, Huadong, editor, Goodchild, Michael F., editor, and Annoni, Alessandro, editor

Published
2020
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8. Open Farm Management Information System Supporting Ecological and Economical Tasks

Author

Řezník, Tomáš, Charvát, Karel, Lukas, Vojtěch, Charvát Junior, Karel, Kepka, Michal, Horáková, Šárka, Křivánek, Zbyněk, Řezníková, Helena, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Series Editor, Goedicke, Michael, Series Editor, Tatnall, Arthur, Series Editor, Neuhold, Erich J., Series Editor, Pras, Aiko, Series Editor, Tröltzsch, Fredi, Series Editor, Pries-Heje, Jan, Series Editor, Whitehouse, Diane, Series Editor, Reis, Ricardo, Series Editor, Furnell, Steven, Series Editor, Furbach, Ulrich, Series Editor, Winckler, Marco, Series Editor, Rauterberg, Matthias, Series Editor, Hřebíček, Jiří, editor, Denzer, Ralf, editor, Schimak, Gerald, editor, and Pitner, Tomáš, editor

Published
2017
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9. Flood Modelling and Visualizations of Floods Through 3D Open Data

Author

Herman, Lukáš, Russnák, Jan, Řezník, Tomáš, Rannenberg, Kai, Editor-in-Chief, Sakarovitch, Jacques, Series Editor, Goedicke, Michael, Series Editor, Tatnall, Arthur, Series Editor, Neuhold, Erich J., Series Editor, Pras, Aiko, Series Editor, Tröltzsch, Fredi, Series Editor, Pries-Heje, Jan, Series Editor, Whitehouse, Diane, Series Editor, Reis, Ricardo, Series Editor, Furnell, Steven, Series Editor, Furbach, Ulrich, Series Editor, Winckler, Marco, Series Editor, Rauterberg, Matthias, Series Editor, Hřebíček, Jiří, editor, Denzer, Ralf, editor, Schimak, Gerald, editor, and Pitner, Tomáš, editor

Published
2017
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10. An INSPIRE-Based Vocabulary for the Publication of Agricultural Linked Data

Author

Palma, Raúl, Reznik, Tomas, Esbrí, Miguel, Charvat, Karel, Mazurek, Cezary, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Tamma, Valentina, editor, Dragoni, Mauro, editor, Gonçalves, Rafael, editor, and Ławrynowicz, Agnieszka, editor

Published
2016
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23. Towards the Development and Verification of a 3D-Based Advanced Optimized Farm Machinery Trajectory Algorithm

Author

Řezník, Tomáš, primary, Herman, Lukáš, additional, Klocová, Martina, additional, Leitner, Filip, additional, Pavelka, Tomáš, additional, Leitgeb, Šimon, additional, Trojanová, Kateřina, additional, Štampach, Radim, additional, Moshou, Dimitrios, additional, Mouazen, Abdul M., additional, Alexandridis, Thomas K., additional, Hrádek, Jakub, additional, Lukas, Vojtěch, additional, and Širůček, Petr, additional

Published
2021
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33. Population distribution modelling at fine spatio-temporal scale based on mobile phone data.

Author

Kubíček, Petr, Konečný, Milan, Stachoň, Zdeněk, Shen, Jie, Herman, Lukáš, Řezník, Tomáš, Staněk, Karel, Štampach, Radim, and Leitgeb, Šimon

Subjects
CELL phones, URBAN planning, EMERGENCY management, POPULATION, CENSUS, CAMERA phones
Abstract

Population distribution modelling can benefit many different domains, for example, transportation, urban planning, ecology or emergency management. Information about the location and number of people in an affected area is crucial for decision-makers during emergencies and crises. Mobile phone data represents relatively reliable and time accurate information on real-time population distribution, movement and behaviour. In this study, we evaluate the spatio-temporal distribution of population derived from phone data of the selected pilot area (City of Brno, Czech Republic). Analysis is based on the dataset describing the estimated human presence (EHP) with two values – visitors and transiting persons. The temporal change of data is first analysed and further processed using two methodological approaches. First, the dasymetric method is used where the building geometry and technical attributes served as a target layer. Second, the results of building level analysis are transformed into a regular grid zone of both visitors and the general EHP. Resulting spatio-temporal patterns are compared to the census data. Results demonstrate how the proposed building level dasymetric approach can improve the spatial granularity of EHP. Potential use of proposed methodology within selected emergency situations is further discussed. [ABSTRACT FROM AUTHOR]

Published
2019
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41. Normalized evaluation of the performance, capacity and availability of catalogue services: a pilot study based on INfrastruture for SPatial InfoRmation in Europe.

Author

Řezník, Tomáš, Chudý, Radoslav, and Mičietová, Eva

Subjects
*GEOGRAPHIC information systems, *METADATA, *GEOGRAPHIC spatial analysis, *GEOINFORMATICS
Abstract

Geographic information has a great potential to be re-used when supported by mechanisms for its discovery. Above all, the quality of a catalogue service is the key feature supporting users in the discovery process. So far, there have been in existence various methodologies dealing with the normalized evaluation of quality with respect to catalogue services. Their biggest weakness seems to be in the depth of quality testing, i.e. some influences are beyond the scope of evaluation of these methodologies with respect to quality in catalogue services. In this study, the quality of 45 catalogue services across Europe was verified with the proposed normalized evaluation methodology originating from documents within the INfrastruture for SPatial InfoRmation in Europe (INSPIRE) framework. This paper discusses the (statistical) influence of factors that may significantly change the results of catalogue service testing. The proposals for improving the existing INSPIRE normalized evaluation procedure are applicable for any spatial data infrastructure and/or Digital Earth component using the Open Geospatial Consortium Catalogue Service for the Web as a basis. [ABSTRACT FROM AUTHOR]

Published
2016
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42. Advanced methods of cell phone localization for crisis and emergency management applications.

Author

Řezník, Tomáš, Horáková, Bronislava, and Szturc, Roman

Subjects
*WIRELESS localization, *EMERGENCY management, *CELL phone systems, *BROADBAND communication systems, *DATA transmission systems, *MOBILE communication systems
Abstract

Real-time people localization cannot be achieved through statistical methods during crisis/emergency management events. An International Mobile Subscriber Identity (IMSI) catcher was proposed as a nontraditional method for cell phone-based people localization. We verified the idea of using a cell phone as a sensor and tested the possibility of transmitting cell phone data through the Open Geospatial Consortium (OGC) Sensor Web Enablement. Four large field tests were performed and are described in detail. The main conclusions for IMSI catcher deployment were search within a limited radius from its placement and the number of localized people was not a limiting aspect; although the technology for advanced cell phone-based localization is available for crisis/emergency management applications, we do not yet have sufficient ability to handle this technology. [ABSTRACT FROM PUBLISHER]

Published
2015
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43. Deployment and Verifications of the Spatial Filtering of Data Measured by Field Harvesters and Methods of Their Interpolation: Czech Cereal Fields between 2014 and 2018.

Author

Řezník, Tomáš, Pavelka, Tomáš, Herman, Lukáš, Leitgeb, Šimon, Lukas, Vojtěch, and Širůček, Petr

Subjects
*SPATIAL filters, *INTERPOLATION, *PRECISION farming, *TAX incentives
Abstract

Yield mapping is a subject of research in (precision) agriculture and one of the primary concerns for farmers as it forms the basis of their income and has implications for subsidies and taxes. The presented approach involves deployment of field harvesters equipped with sensors that provide more detailed and spatially localized values than merely a sum of yields for the whole plot. The measurements from such sensors need to be filtered and subject to further processing, including interpolation, to facilitate follow-up interpretation. This paper aims to identify the relative differences between interpolations from (1) (field) measured data, (2) measured data that were globally filtered, and (3) measured data that were globally and locally filtered. All the measured data were obtained at a fully operational farm and are considered to represent a natural experiment. The revealed spatial patterns and recommendations regarding global and local filtering methods are presented at the end of the paper. Time investments into filtering techniques are also taken into account. [ABSTRACT FROM AUTHOR]

Published
2019
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44. Metodika řešení masivních úloh v GIS

Author

Bartoněk, Dalibor, Hanzl, Vlastimil, Cajthaml,, Jiří, Řezník,, Tomáš, Bartoněk, Dalibor, Hanzl, Vlastimil, Cajthaml,, Jiří, and Řezník,, Tomáš

Abstract

Disertační práce se zabývá problematikou řešení masivních úloh v GIS. Tyto úlohy zpracovávají geografická data velkých objemů a různých formátů. Práce popisuje teoretický rozbor složitosti úloh a možnosti optimalizace dílčích procesů, které vedou k přijatelnému řešení. Zamýšlí se nad možností využití paralelismu v GIS, čímž lze zrychlit zpracování velkého objemu geodat. Navrhuje také způsob optimalizace procesů prostřednictvím algoritmu, který stanoví počet nutných prostředků k úspěšnému vyřešení úlohy v zadaném čase a k přiřazení procesů těmto prostředkům. Dále je zde navržen algoritmus pro optimalizaci při přípravě dat rozsáhlých GIS projektů. Algoritmy byly ověřeny v rámci výzkumného projektu, jehož cílem byla analýza povrchů terénu nad plynovody na území ČR vyjma dvou krajů. Hlavní metodou analýzy byla klasifikace obrazu ortofota, která byla dále zpřesněná filtrací z vrstev ZABAGED. Proto se práce zabývá i možnostmi zpřesnění výsledků klasifikace obrazu s využitím nástrojů GIS a stanovením chybovosti výsledků analýzy. Výstupy analýzy jsou nyní využívány pro strategické plánování údržby a rozvoje plynárenských zařízení v ČR. Výsledky práce mají obecný význam pro řešení stejné třídy úloh v GIS., This doctoral thesis deals with the issue of solving massive tasks in GIS. These tasks process large volumes of geographic data with different formats. The thesis describes a theoretical analysis of the complexity of tasks and the possibilities to optimize sub-processes which lead to an acceptable solution. It considers the possibility of using parallelism in GIS, which leads to an acceleration in the processing of large volumes of geographic data. It also proposes a method for the optimization of processes through an algorithm which determines the number of means necessary for the successful solution of a task at a specified time and assigns processes to these means. Additionally, there is a proposed algorithm for the optimization of the preparation of data for extensive GIS projects. The algorithms have been validated by the results of a research project, the aim of which was to analyse the terrain surface above a gas line in the Czech Republic. The primary method of analysis was the classification of an orthophoto image, which was further refined through filtration using the ZABAGED layers. Therefore, the thesis deals with the possibility of improving the results of image classification using GIS instruments as well as dealing with the determination of the error rate in analysis results. The results of the analysis are now used for the strategic planning of maintenance and the development of gas facilities in the Czech Republic. The results of the work have general importance regarding the performance of other operations of the same class in GIS.

45. Metodika řešení masivních úloh v GIS

Author

Bartoněk, Dalibor, Hanzl, Vlastimil, Cajthaml,, Jiří, Řezník,, Tomáš, Bartoněk, Dalibor, Hanzl, Vlastimil, Cajthaml,, Jiří, and Řezník,, Tomáš

Abstract

Disertační práce se zabývá problematikou řešení masivních úloh v GIS. Tyto úlohy zpracovávají geografická data velkých objemů a různých formátů. Práce popisuje teoretický rozbor složitosti úloh a možnosti optimalizace dílčích procesů, které vedou k přijatelnému řešení. Zamýšlí se nad možností využití paralelismu v GIS, čímž lze zrychlit zpracování velkého objemu geodat. Navrhuje také způsob optimalizace procesů prostřednictvím algoritmu, který stanoví počet nutných prostředků k úspěšnému vyřešení úlohy v zadaném čase a k přiřazení procesů těmto prostředkům. Dále je zde navržen algoritmus pro optimalizaci při přípravě dat rozsáhlých GIS projektů. Algoritmy byly ověřeny v rámci výzkumného projektu, jehož cílem byla analýza povrchů terénu nad plynovody na území ČR vyjma dvou krajů. Hlavní metodou analýzy byla klasifikace obrazu ortofota, která byla dále zpřesněná filtrací z vrstev ZABAGED. Proto se práce zabývá i možnostmi zpřesnění výsledků klasifikace obrazu s využitím nástrojů GIS a stanovením chybovosti výsledků analýzy. Výstupy analýzy jsou nyní využívány pro strategické plánování údržby a rozvoje plynárenských zařízení v ČR. Výsledky práce mají obecný význam pro řešení stejné třídy úloh v GIS., This doctoral thesis deals with the issue of solving massive tasks in GIS. These tasks process large volumes of geographic data with different formats. The thesis describes a theoretical analysis of the complexity of tasks and the possibilities to optimize sub-processes which lead to an acceptable solution. It considers the possibility of using parallelism in GIS, which leads to an acceleration in the processing of large volumes of geographic data. It also proposes a method for the optimization of processes through an algorithm which determines the number of means necessary for the successful solution of a task at a specified time and assigns processes to these means. Additionally, there is a proposed algorithm for the optimization of the preparation of data for extensive GIS projects. The algorithms have been validated by the results of a research project, the aim of which was to analyse the terrain surface above a gas line in the Czech Republic. The primary method of analysis was the classification of an orthophoto image, which was further refined through filtration using the ZABAGED layers. Therefore, the thesis deals with the possibility of improving the results of image classification using GIS instruments as well as dealing with the determination of the error rate in analysis results. The results of the analysis are now used for the strategic planning of maintenance and the development of gas facilities in the Czech Republic. The results of the work have general importance regarding the performance of other operations of the same class in GIS.

46. Metodika řešení masivních úloh v GIS

Author

Bartoněk, Dalibor, Hanzl, Vlastimil, Cajthaml,, Jiří, Řezník,, Tomáš, Bartoněk, Dalibor, Hanzl, Vlastimil, Cajthaml,, Jiří, and Řezník,, Tomáš

Abstract

Disertační práce se zabývá problematikou řešení masivních úloh v GIS. Tyto úlohy zpracovávají geografická data velkých objemů a různých formátů. Práce popisuje teoretický rozbor složitosti úloh a možnosti optimalizace dílčích procesů, které vedou k přijatelnému řešení. Zamýšlí se nad možností využití paralelismu v GIS, čímž lze zrychlit zpracování velkého objemu geodat. Navrhuje také způsob optimalizace procesů prostřednictvím algoritmu, který stanoví počet nutných prostředků k úspěšnému vyřešení úlohy v zadaném čase a k přiřazení procesů těmto prostředkům. Dále je zde navržen algoritmus pro optimalizaci při přípravě dat rozsáhlých GIS projektů. Algoritmy byly ověřeny v rámci výzkumného projektu, jehož cílem byla analýza povrchů terénu nad plynovody na území ČR vyjma dvou krajů. Hlavní metodou analýzy byla klasifikace obrazu ortofota, která byla dále zpřesněná filtrací z vrstev ZABAGED. Proto se práce zabývá i možnostmi zpřesnění výsledků klasifikace obrazu s využitím nástrojů GIS a stanovením chybovosti výsledků analýzy. Výstupy analýzy jsou nyní využívány pro strategické plánování údržby a rozvoje plynárenských zařízení v ČR. Výsledky práce mají obecný význam pro řešení stejné třídy úloh v GIS., This doctoral thesis deals with the issue of solving massive tasks in GIS. These tasks process large volumes of geographic data with different formats. The thesis describes a theoretical analysis of the complexity of tasks and the possibilities to optimize sub-processes which lead to an acceptable solution. It considers the possibility of using parallelism in GIS, which leads to an acceleration in the processing of large volumes of geographic data. It also proposes a method for the optimization of processes through an algorithm which determines the number of means necessary for the successful solution of a task at a specified time and assigns processes to these means. Additionally, there is a proposed algorithm for the optimization of the preparation of data for extensive GIS projects. The algorithms have been validated by the results of a research project, the aim of which was to analyse the terrain surface above a gas line in the Czech Republic. The primary method of analysis was the classification of an orthophoto image, which was further refined through filtration using the ZABAGED layers. Therefore, the thesis deals with the possibility of improving the results of image classification using GIS instruments as well as dealing with the determination of the error rate in analysis results. The results of the analysis are now used for the strategic planning of maintenance and the development of gas facilities in the Czech Republic. The results of the work have general importance regarding the performance of other operations of the same class in GIS.

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