Towards 3D raster GIS: On developing a raster engine for spatial DBMS

Sisi Zlatanova; Pirouz Nourian; R Goncalves; Anh Vu Vo

Towards 3D raster GIS: On developing a raster engine for spatial DBMS

Sisi Zlatanova, Pirouz Nourian, R Goncalves, Anh Vu Vo

Engineering Fluid Dynamics

Research output: Contribution to conference › Paper › peer-review

3 Citations (Scopus)

Abstract

Three-dimensional (3D) raster are simple representations, which have long been used for modelling continuous phenomena such as geological and medical objects. However, they can result in large data sets when high resolution is used, which poses challenges to algorithms for vector-to-raster conversion and data storage. This paper presents a research towards developing generic techniques and tools for efficient storage, management, and analysis of 3D spatial data types in the context of the column-store database system MonetDB. This paper focus on some issues in converting vector to raster data models in 3D spaces

Original language	English
Publication status	Published - 2016
Event	ISPRS WG IV/2 Workshop "Global Geospatial Information and High Resolution Global Land Cover/Land Use Mapping" 2016 - Novosibirsk, Russian Federation Duration: 21 Apr 2016 → 21 Apr 2016

Conference

Conference	ISPRS WG IV/2 Workshop "Global Geospatial Information and High Resolution Global Land Cover/Land Use Mapping" 2016
Country/Territory	Russian Federation
City	Novosibirsk
Period	21/04/16 → 21/04/16

Keywords

ITC-CV

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "Towards 3D raster GIS: On developing a raster engine for spatial DBMS",

abstract = "Three-dimensional (3D) raster are simple representations, which have long been used for modelling continuous phenomena such as geological and medical objects. However, they can result in large data sets when high resolution is used, which poses challenges to algorithms for vector-to-raster conversion and data storage. This paper presents a research towards developing generic techniques and tools for efficient storage, management, and analysis of 3D spatial data types in the context of the column-store database system MonetDB. This paper focus on some issues in converting vector to raster data models in 3D spaces",

keywords = "ITC-CV",

author = "Sisi Zlatanova and Pirouz Nourian and R Goncalves and {Vu Vo}, Anh",

year = "2016",

language = "English",

note = "ISPRS WG IV/2 Workshop {"}Global Geospatial Information and High Resolution Global Land Cover/Land Use Mapping{"} 2016 ; Conference date: 21-04-2016 Through 21-04-2016",

}

TY - CONF

T1 - Towards 3D raster GIS

T2 - ISPRS WG IV/2 Workshop "Global Geospatial Information and High Resolution Global Land Cover/Land Use Mapping" 2016

AU - Zlatanova, Sisi

AU - Nourian, Pirouz

AU - Goncalves, R

AU - Vu Vo, Anh

PY - 2016

Y1 - 2016

N2 - Three-dimensional (3D) raster are simple representations, which have long been used for modelling continuous phenomena such as geological and medical objects. However, they can result in large data sets when high resolution is used, which poses challenges to algorithms for vector-to-raster conversion and data storage. This paper presents a research towards developing generic techniques and tools for efficient storage, management, and analysis of 3D spatial data types in the context of the column-store database system MonetDB. This paper focus on some issues in converting vector to raster data models in 3D spaces

AB - Three-dimensional (3D) raster are simple representations, which have long been used for modelling continuous phenomena such as geological and medical objects. However, they can result in large data sets when high resolution is used, which poses challenges to algorithms for vector-to-raster conversion and data storage. This paper presents a research towards developing generic techniques and tools for efficient storage, management, and analysis of 3D spatial data types in the context of the column-store database system MonetDB. This paper focus on some issues in converting vector to raster data models in 3D spaces

KW - ITC-CV

UR - https://research.tudelft.nl/en/publications/9ebc5b1e-4743-483e-831c-15fa443be9fe

M3 - Paper

Y2 - 21 April 2016 through 21 April 2016

ER -

Towards 3D raster GIS: On developing a raster engine for spatial DBMS

Abstract

Conference

Keywords

UN SDGs

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