ºÝºÝߣshows by User: matthiasmhinz / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: matthiasmhinz / Sun, 17 Dec 2017 14:02:29 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: matthiasmhinz Introducing OpenGeoEdu @7th GeoIT Wherecamp Conference, Nov. 2017, Berlin /slideshow/introducing-opengeoedu-7th-geoit-wherecamp-conference-nov-2017-berlin/84299702 opengeoedu-wherecamppresentationfinalcorrected-171217140229
Promoting the use of Open Data facilitates more attractive conditions and practical relevance of research and education. OpenGeoEdu aims to prepare Open (Geo-)Data for education and science and to provide open access to cost-free data without restrictions. The use of Open Data will be taught with best practice examples from Geospatial Science and Technology that are conveyed in the form of e-learning lessons and Massive Open Online Courses (MOOCs). This talk will summarize the current state of the project, which just started in Summer 2017, and discuss its concepts and implementation. We present an online-platform for searching Open Data portals and Geodatainfrastructures and describe our prospective e-learning environment. Project website: https://www.opengeoedu.de Conference website: http://wherecamp2017.geoit.org]]>
Promoting the use of Open Data facilitates more attractive conditions and practical relevance of research and education. OpenGeoEdu aims to prepare Open (Geo-)Data for education and science and to provide open access to cost-free data without restrictions. The use of Open Data will be taught with best practice examples from Geospatial Science and Technology that are conveyed in the form of e-learning lessons and Massive Open Online Courses (MOOCs). This talk will summarize the current state of the project, which just started in Summer 2017, and discuss its concepts and implementation. We present an online-platform for searching Open Data portals and Geodatainfrastructures and describe our prospective e-learning environment. Project website: https://www.opengeoedu.de Conference website: http://wherecamp2017.geoit.org]]> Sun, 17 Dec 2017 14:02:29 GMT /slideshow/introducing-opengeoedu-7th-geoit-wherecamp-conference-nov-2017-berlin/84299702 matthiasmhinz@slideshare.net(matthiasmhinz) Introducing OpenGeoEdu @7th GeoIT Wherecamp Conference, Nov. 2017, Berlin matthiasmhinz Promoting the use of Open Data facilitates more attractive conditions and practical relevance of research and education. OpenGeoEdu aims to prepare Open (Geo-)Data for education and science and to provide open access to cost-free data without restrictions. The use of Open Data will be taught with best practice examples from Geospatial Science and Technology that are conveyed in the form of e-learning lessons and Massive Open Online Courses (MOOCs). This talk will summarize the current state of the project, which just started in Summer 2017, and discuss its concepts and implementation. We present an online-platform for searching Open Data portals and Geodatainfrastructures and describe our prospective e-learning environment. Project website: https://www.opengeoedu.de Conference website: http://wherecamp2017.geoit.org <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/opengeoedu-wherecamppresentationfinalcorrected-171217140229-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Promoting the use of Open Data facilitates more attractive conditions and practical relevance of research and education. OpenGeoEdu aims to prepare Open (Geo-)Data for education and science and to provide open access to cost-free data without restrictions. The use of Open Data will be taught with best practice examples from Geospatial Science and Technology that are conveyed in the form of e-learning lessons and Massive Open Online Courses (MOOCs). This talk will summarize the current state of the project, which just started in Summer 2017, and discuss its concepts and implementation. We present an online-platform for searching Open Data portals and Geodatainfrastructures and describe our prospective e-learning environment. Project website: https://www.opengeoedu.de Conference website: http://wherecamp2017.geoit.org
Introducing OpenGeoEdu @7th GeoIT Wherecamp Conference, Nov. 2017, Berlin from Matthias Hinz
]]> 144 1 https://cdn.slidesharecdn.com/ss_thumbnails/opengeoedu-wherecamppresentationfinalcorrected-171217140229-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Communicating meaning and purpose of spatio-temporal data analysis (master's thesis) /slideshow/communicating-meaning-and-purpose-of-spatiotemporal-data-analysis/64438736 masterthesispresentation-160727141002
Spatio-temporal data analyses can be hard to understand, especially if no throughout documentation is supplemented. Important information about meaning, purpose and scientific presuppositions of analyses are often absent. The semantic meaning of data is neglected. My master's thesis attempts to solve some of these communication problems by proposing a workflow to generate spatio-temporal data derivation graphs in R. The graphs are enriched with semantic annotations and thus provide a meaningful documentation. Conceptual basis and foundation is a recent publication from Scheider et al. [1] on "Modeling spatiotemporal information generation". They introduced an algebra that models data generation and describes how data sets are derived, in terms of types of reference systems. This algebra will be implemented in R as as far as to proof that comprehension is enhanced for selected use-cases of spatio-temporal data analysis. If you appreciate my work, please stay keep in touch until October '16. Until then I will be finished and make the results publicly available. [1] Scheider, Simon, et al. "Modeling spatiotemporal information generation." International Journal of Geographical Information Science, 2016, p. 1-29.]]>
Spatio-temporal data analyses can be hard to understand, especially if no throughout documentation is supplemented. Important information about meaning, purpose and scientific presuppositions of analyses are often absent. The semantic meaning of data is neglected. My master's thesis attempts to solve some of these communication problems by proposing a workflow to generate spatio-temporal data derivation graphs in R. The graphs are enriched with semantic annotations and thus provide a meaningful documentation. Conceptual basis and foundation is a recent publication from Scheider et al. [1] on "Modeling spatiotemporal information generation". They introduced an algebra that models data generation and describes how data sets are derived, in terms of types of reference systems. This algebra will be implemented in R as as far as to proof that comprehension is enhanced for selected use-cases of spatio-temporal data analysis. If you appreciate my work, please stay keep in touch until October '16. Until then I will be finished and make the results publicly available. [1] Scheider, Simon, et al. "Modeling spatiotemporal information generation." International Journal of Geographical Information Science, 2016, p. 1-29.]]> Wed, 27 Jul 2016 14:10:02 GMT /slideshow/communicating-meaning-and-purpose-of-spatiotemporal-data-analysis/64438736 matthiasmhinz@slideshare.net(matthiasmhinz) Communicating meaning and purpose of spatio-temporal data analysis (master's thesis) matthiasmhinz Spatio-temporal data analyses can be hard to understand, especially if no throughout documentation is supplemented. Important information about meaning, purpose and scientific presuppositions of analyses are often absent. The semantic meaning of data is neglected. My master's thesis attempts to solve some of these communication problems by proposing a workflow to generate spatio-temporal data derivation graphs in R. The graphs are enriched with semantic annotations and thus provide a meaningful documentation. Conceptual basis and foundation is a recent publication from Scheider et al. [1] on "Modeling spatiotemporal information generation". They introduced an algebra that models data generation and describes how data sets are derived, in terms of types of reference systems. This algebra will be implemented in R as as far as to proof that comprehension is enhanced for selected use-cases of spatio-temporal data analysis. If you appreciate my work, please stay keep in touch until October '16. Until then I will be finished and make the results publicly available. [1] Scheider, Simon, et al. "Modeling spatiotemporal information generation." International Journal of Geographical Information Science, 2016, p. 1-29. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/masterthesispresentation-160727141002-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Spatio-temporal data analyses can be hard to understand, especially if no throughout documentation is supplemented. Important information about meaning, purpose and scientific presuppositions of analyses are often absent. The semantic meaning of data is neglected. My master&#39;s thesis attempts to solve some of these communication problems by proposing a workflow to generate spatio-temporal data derivation graphs in R. The graphs are enriched with semantic annotations and thus provide a meaningful documentation. Conceptual basis and foundation is a recent publication from Scheider et al. [1] on &quot;Modeling spatiotemporal information generation&quot;. They introduced an algebra that models data generation and describes how data sets are derived, in terms of types of reference systems. This algebra will be implemented in R as as far as to proof that comprehension is enhanced for selected use-cases of spatio-temporal data analysis. If you appreciate my work, please stay keep in touch until October &#39;16. Until then I will be finished and make the results publicly available. [1] Scheider, Simon, et al. &quot;Modeling spatiotemporal information generation.&quot; International Journal of Geographical Information Science, 2016, p. 1-29.
Communicating meaning and purpose of spatio-temporal data analysis (master's thesis) from Matthias Hinz
]]> 646 7 https://cdn.slidesharecdn.com/ss_thumbnails/masterthesispresentation-160727141002-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Spatial Statistics on the Geospatial Web /slideshow/spatial-statistics-on-the-geospatial-web/21537153 matthiashinz-spatialstatisticsonthegeospatialweb-130520120800-phpapp02
The Geospatial Web provides data as well as processing functionality using web interfaces. Typical examples of such processes are models and predictions for spatial data, known as spatial statistics. Such analyses are written by domain experts in scripting languages and rarely exposed as web services. We present a concept of script annotations for automatic deployment in server runtime environments and demonstrate it with an implementation based on the open standards and open source components OGC Web Processing Service and R. Short paper: http://www.agile-online.org/Conference_Paper/CDs/agile_2013/Short_Papers/SP_S3.1_Hinz.pdf]]>
The Geospatial Web provides data as well as processing functionality using web interfaces. Typical examples of such processes are models and predictions for spatial data, known as spatial statistics. Such analyses are written by domain experts in scripting languages and rarely exposed as web services. We present a concept of script annotations for automatic deployment in server runtime environments and demonstrate it with an implementation based on the open standards and open source components OGC Web Processing Service and R. Short paper: http://www.agile-online.org/Conference_Paper/CDs/agile_2013/Short_Papers/SP_S3.1_Hinz.pdf]]> Mon, 20 May 2013 12:08:00 GMT /slideshow/spatial-statistics-on-the-geospatial-web/21537153 matthiasmhinz@slideshare.net(matthiasmhinz) Spatial Statistics on the Geospatial Web matthiasmhinz The Geospatial Web provides data as well as processing functionality using web interfaces. Typical examples of such processes are models and predictions for spatial data, known as spatial statistics. Such analyses are written by domain experts in scripting languages and rarely exposed as web services. We present a concept of script annotations for automatic deployment in server runtime environments and demonstrate it with an implementation based on the open standards and open source components OGC Web Processing Service and R. Short paper: http://www.agile-online.org/Conference_Paper/CDs/agile_2013/Short_Papers/SP_S3.1_Hinz.pdf <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/matthiashinz-spatialstatisticsonthegeospatialweb-130520120800-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Geospatial Web provides data as well as processing functionality using web interfaces. Typical examples of such processes are models and predictions for spatial data, known as spatial statistics. Such analyses are written by domain experts in scripting languages and rarely exposed as web services. We present a concept of script annotations for automatic deployment in server runtime environments and demonstrate it with an implementation based on the open standards and open source components OGC Web Processing Service and R. Short paper: http://www.agile-online.org/Conference_Paper/CDs/agile_2013/Short_Papers/SP_S3.1_Hinz.pdf
Spatial Statistics on the Geospatial Web from Matthias Hinz
]]> 8524 6 https://cdn.slidesharecdn.com/ss_thumbnails/matthiashinz-spatialstatisticsonthegeospatialweb-130520120800-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation °Â±ð¾±ÃŸ http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-matthiasmhinz-48x48.jpg?cb=1555075551 Matthias Hinz is a research fellow at the University of Rostock. He works for the project ‘OpenGeoEdu’ (Open Data for Education and Science) and aims for a doctoral degree. In September 2016, he graduated with a Master of Science in Geoinformatics from the University of Münster. As a student, he worked part-time at the Institute for Geoinformatics of the University of Münster and the 52° North Initiative for Geospatial Open Source Software GmbH, spent ten months in Spain at the Geospatial Research Group (GEOTEC) of the University Jaume I, and joined the European Geography Association (EGEA) for students and young geographers. matthiashinz.eu https://cdn.slidesharecdn.com/ss_thumbnails/opengeoedu-wherecamppresentationfinalcorrected-171217140229-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/introducing-opengeoedu-7th-geoit-wherecamp-conference-nov-2017-berlin/84299702 Introducing OpenGeoEdu... https://cdn.slidesharecdn.com/ss_thumbnails/masterthesispresentation-160727141002-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/communicating-meaning-and-purpose-of-spatiotemporal-data-analysis/64438736 Communicating meaning ... https://cdn.slidesharecdn.com/ss_thumbnails/matthiashinz-spatialstatisticsonthegeospatialweb-130520120800-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/spatial-statistics-on-the-geospatial-web/21537153 Spatial Statistics on ...