Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Julia Gonschorek"'
Autor:
Alexander Kuenz, Joonas Lieb, Michael Rudolph, Andreas Volkert, Dagi Geister, Nikolaus Ammann, Dmytro Zhukov, Patrick Feurich, Julia Gonschorek, Matthias Gessner, Thomas Kraft, Helge Hackbarth, Gerald Peklar, Lukas Schalk, Dennis Becker, Daniel Gerbeth, Chen Zhu, Omar García Crespillo, Kristijan Caprdja, Heiko Walther
Publikováno v:
IEEE Aerospace and Electronic Systems Magazine. 38:60-71
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10b489082dfdc70906f102924a626515
https://doi.org/10.1109/maes.2023.3238395
https://doi.org/10.1109/maes.2023.3238395
Publikováno v:
Computational Science and Its Applications--ICCSA 2016 ISBN: 9783319421100
ICCSA (3)
ICCSA (3)
From a geoinformation science perspective real estate portals apply non-spatial methods to analyse and visualise rental price data. Their approach shows considerable shortcomings. Portal operators neglect real estate agents' mantra that exactly three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::366bb0532cfbe804439b697cc458c291
https://doi.org/10.4018/978-1-7998-2460-2.ch049
https://doi.org/10.4018/978-1-7998-2460-2.ch049
Publikováno v:
International Journal of Agricultural and Environmental Information Systems. 7:54-64
This article gives insight in a running dissertation at the University in Potsdam. Point of discussion is the spatial and temporal distribution of emergencies of German fire brigades that have not sufficiently been scientifically examined. The challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5d45f3ab367b4245f09b9717ce265be
https://doi.org/10.4018/ijaeis.2016010104
https://doi.org/10.4018/ijaeis.2016010104
From a geoinformation science perspective real estate portals apply non-spatial methods to analyse and visualise rental price data. Their approach shows considerable shortcomings. Portal operators neglect real estate agents' mantra that exactly three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9239575ed3f2dba7ff5bebdd072479e
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/46764
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/46764
Publikováno v:
Computational Science and Its Applications--ICCSA 2016 ISBN: 9783319421100
ICCSA (3)
ICCSA (3)
This article gives insight into a running PhD-project. The focus lies on the adaption of kernel density estimation to optimize hotspot analysis for big geodata in the context of civil security research in urban areas. The parameters of kernel density
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b20077643de597adc55ff47087568ac
https://doi.org/10.1007/978-3-319-42111-7_9
https://doi.org/10.1007/978-3-319-42111-7_9
Autor:
Julia Gonschorek, Lucia Tyrallová
Publikováno v:
Computational Science and Its Applications – ICCSA 2012 ISBN: 9783642310744
ICCSA (2)
ICCSA (2)
Scientific visualization as an interdisciplinary research field offers a wide range of methods and techniques to efficiently analyze and visualize the spatial and temporal data and information. In this article a discipline of scientific visualization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc9ef4ff6831216cdc6746170f2ab045
https://doi.org/10.1007/978-3-642-31075-1_16
https://doi.org/10.1007/978-3-642-31075-1_16
Autor:
Julia Gonschorek, Lucia Tyrallová
Publikováno v:
Computational Science and Its Applications – ICCSA 2012 ISBN: 9783642310744
ICCSA (2)
ICCSA (2)
This paper deals with an automated feature identification process, specifically identification of landforms and their attributes. The feature identification process is GIS-integrated and is carried out on the commercial platform ArcGIS. Spatio-explor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a6f8b04fdc5609c32c27995aab36516
https://doi.org/10.1007/978-3-642-31075-1_17
https://doi.org/10.1007/978-3-642-31075-1_17