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Author
dc.contributor.author
Gáspár, Albert 
Availability Date
dc.date.accessioned
2016-07-29T10:04:48Z
Availability Date
dc.date.available
2016-07-29T10:04:48Z
Release
dc.date.issued
2016
Other
dc.identifier.other
ITM-E3DM E
uri
dc.identifier.uri
http://hdl.handle.net/10831/30323
Abstract
dc.description.abstract
Készült az ELTE Felsőoktatási Struktúraátalakítási Alapból támogatott programja keretében.hu_HU
Language
dc.language
angolhu_HU
Keywords
dc.subject
FSA 2015hu_HU
Keywords
dc.subject
lecture noteshu_HU
Keywords
dc.subject
jegyzethu_HU
Keywords
dc.subject
lecture schemeshu_HU
Keywords
dc.subject
slideshu_HU
Keywords
dc.subject
óravázlathu_HU
Keywords
dc.subject
3D modelshu_HU
Keywords
dc.subject
GIS environmenthu_HU
Keywords
dc.subject
Global Mapperhu_HU
Keywords
dc.subject
Jewel Suitehu_HU
Title
dc.title
3D modeling in GIShu_HU
Version
dc.description.version
jováhagyott változathu_HU
Language
dc.language.rfc3066
eng
Rights
dc.rights.holder
Eötvös Loránd Tudományegyetemhu_HU
Abstract in English
dc.description.abstracteng
Supported by the Higher Education Restructuring Fund allocated to ELTE by the Hungarian Government. Themes of the semester:  Weeks 1–2: Concepts and theoretic base of 3D modeling. Types and the “scale” of 3D models. Data and objects in the model. Types of different modeling applications, and the usage of 3D models in the Earth sciences.  Weeks 3–4: Hierarchical data management. Data management systems of the 3D model and their functionalities. The source and the management of primary data. Converting raster into vector and further into numerical data or converting raster directly into numerical data. The structure of GIS databases.  Weeks 5–6: The 2D GIS base of the 3D model. GIS topology types. Connection between the subsystems. Data mining, data classification and data analysis. 11  Weeks 7–9: The modeling procedure. Classification of 3D modeling methods. Comparison of the regular and irregular data-model. Simple and complicated irregular models. The concept of tessellation.  Weeks 10–11: Simple and complicated regular models. Processing and storing grid data. Calculation of grid point values. The concept of scalar-space and vector-space. The medium and the requirements of the visualization. The conceptual 3D model. Models in the virtual space. Tools for visualization and querying.  Week 12-13: Own work, practice, consulting.hu_HU
Scope
dc.format.page
115hu_HU
Place of publication
dc.publisher.place
Budapesthu_HU
access
dc.rights.access
egyetemi IPhu_HU
Class
dc.type.genre
nem besorolthu_HU
Type
dc.type.resrep
nem tudományoshu_HU
Author
dc.contributor.inst
ELTE Informatikai Kar Térképtudományi és Geoinformatikai Tanszékhu_HU
Type
dc.type.type
óravázlathu_HU
Release Date
dc.description.issuedate
2016hu_HU


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3D modeling in GIS
3D modeling in GIS
 

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