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BARTONĚK, D.
Originální název
THE POSSIBILITIES OF BIG GIS DATA PROCESSING ON THE DESKTOP COMPUTERS
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The paper submits the method how to solve big projects in the sphere of geographic information systems (GIS). Our aim is to answer the question whether we can or cannot solve similar projects on commonly used hardware and software. This method is based on making use of parallelism and optimization of individual processes. The whole GIS project is divided according to the territory principle into the individual projects which can be processed concurrently. In the frame of sub-projects data optimization of main theme is performed. After the finishing of the particular phases of the project a manual check of partial results follows. The final step consists in completing the separate results into common database. The project was solved for the GasNet, Ltd. Company which is a part of a RWE group in the Czech Republic. Input data were datasets of orthophoto with a resolution of 25 cm/pixel, layers of communications of ZABAGED CR and vector sets of the route of line of underground engineering networks. Due to the territorial coverage of the CR with the area of 64,350 km2, these were massive tasks with total data volume more than 500 GB. The data analysis was carried out in the special created application in Python language with the support of ESRI libraries and also in ArcGIS 10.0 environment.
Klíčová slova
big data, GIS, optimization, desktop computer
Autoři
Vydáno
17. 10. 2016
Nakladatel
Springer International Publishing AG
Místo
Switzerland
ISBN
978-3-3194-5122-0
Kniha
The Rise of Big Spatial Data
Edice
Lecture Notes in Geoinformation and Cartography
Číslo edice
1
ISSN
1863-2351
Periodikum
Stát
Švýcarská konfederace
Strany od
273
Strany do
287
Strany počet
15
URL
http://www.springer.com/gp/book/9783319451220
BibTex
@inproceedings{BUT128928, author="Dalibor {Bartoněk}", title="THE POSSIBILITIES OF BIG GIS DATA PROCESSING ON THE DESKTOP COMPUTERS", booktitle="The Rise of Big Spatial Data", year="2016", series="Lecture Notes in Geoinformation and Cartography", journal="Lecture Notes in Geoinformation and Cartography", number="1", pages="273--287", publisher="Springer International Publishing AG", address="Switzerland", doi="10.1007/978-3-319-45123-7\{_}20", isbn="978-3-3194-5122-0", issn="1863-2351", url="http://www.springer.com/gp/book/9783319451220" }