Integrated 3D Spatial Data Model of Object-Oriented Digital Landslide

2012 ◽  
Vol 204-208 ◽  
pp. 4872-4877
Author(s):  
Da Xi Ma ◽  
Xiao Hong Liu ◽  
Li Wei Ma
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Data Modeling ◽  
Object Oriented ◽  
Landslide Modeling ◽  
Space Data ◽  
Spatial Data Model ◽  
Three Dimensional Space

By analyzing the attributes of three-dimensional space data model, the integrated 3D spatial data adopts object-oriented method for digital landslide modeling. It achieves spatial data modeling for landslide geological entity. An experimental case is given to indicate the feasibility of this approach for spatial data modeling.

INFOLOD AND LANDMARK: SPATIAL PRESENTATION OF ATTRIBUTE INFORMATION AND COMPUTING REPRESENTATIVE OBJECTS FOR SPATIAL DATA

2000 ◽  
Vol 09 (01n02) ◽  
pp. 53-75 ◽  
Author(s):  
KENGO KOISO ◽  
TAKEHISA MORI ◽  
HIROAKI KAWAGISHI ◽  
KATSUMI TANAKA ◽  
TAKAHIRO MATSUMOTO
Keyword(s):  
Spatial Data ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Image Data ◽  
Spatial Objects ◽  
Attribute Data ◽  
Attribute Information ◽  
Spatial Presentation ◽  
Three Dimensional Space ◽  
Representative Object

In this paper, we will propose a way of visualizing attribute information for spatial objects in the three-dimensional space and a calculation method for extracting a representative object from objects in a given region. In conventional three-dimensional visualizations such as architectural simulations, most of the attention has been paid to image data such as colors, shapes, and textures of spatial objects. In this research, we will focus on the attribute information of spatial objects including image data. We propose InfoLOD concept which introduces the notion of level of detail(LOD) to attribute information as well as image data such as photographs and computer graphics for controlling the visualization of attribute information in a three-dimensional space. The visualization is controlled based on distance and orientation, and we will also discuss the differentiation factor which visualizes the differences among the objects. In addition to visualization control, we will propose the LandMark algorithm for extracting a representative object from the objects in a given region based on their spatial occupancy ratio and the uniqueness of the attribute data. The region for browsing may be specified manually by the user or may be automatically specified by some algorithm. Here, we discuss the spatial glue operation which dynamically retrieves regions containing objects with user-specified attribute information unlike conventional method based on static mesh which are often used in GIS(Geographic Information System). We will also introduce some of our implementations in order to illustrate our ideas.

Object-oriented urban 3D spatial data model organization method

2015 ◽  
Author(s):  
Jing-wen Li ◽  
Wen-qing Li ◽  
Nan Lv ◽  
Tao Su
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
Object Oriented ◽  
Spatial Data Model

scholarly journals Visualization of geospatial data: chaos in the dimensions

Geografie ◽  
2009 ◽  
Vol 114 (3) ◽  
pp. 169-178 ◽  
Author(s):  
Radek Dušek ◽  
Jakub Miřijovský
Keyword(s):  
Spatial Data ◽  
3D Visualization ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Perspective Projection ◽  
Terrain Models ◽  
Technological Developments ◽  
The Common ◽  
Spatial Data Processing ◽  
Three Dimensional Space

2D maps, 2.5D terrain models and 3D visualization are examples of terms which are widely used in computer science, geography, cartography and also in geoinformatics. What do they, however, really mean? The paper tries to clarify the common terminology. Only the issue of three-dimensional space is discussed, without incorporating time and other dimensions. The authors want to draw attention to the often misguiding and pointless use of terms relating to the expression of space. The original and correct terms, originating from informatics and spatial data processing, have been transferred to the field of visualization, in which they are often ill founded and incorrect. An example commonly used in the literature is a reference to perspective projection as a 3D view, etc. Furthermore, the paper points to collisions in the use of these terms. Despite the fact that the terms are already commonly used in the literature, the authors recommend a change of the terms, especially in view of further technological developments in the field of spatial data visualization.

Extension of the Spatial PDI Model to Three Dimensions

1997 ◽  
Vol 84 (1) ◽  
pp. 176-178
Author(s):  
Frank O'Brien
Keyword(s):  
Population Density ◽  
Dimensional Space ◽  
Finite Lattice ◽  
Three Dimensional ◽  
Upper Bounds ◽  
Three Dimensions ◽  
Lower And Upper Bounds ◽  
Density Index ◽  
Three Dimensional Space

The author's population density index ( PDI) model is extended to three-dimensional distributions. A derived formula is presented that allows for the calculation of the lower and upper bounds of density in three-dimensional space for any finite lattice.

A Peptoid with Extended Shape in Water

2019 ◽  
Author(s):  
Jumpei Morimoto ◽  
Yasuhiro Fukuda ◽  
Takumu Watanabe ◽  
Daisuke Kuroda ◽  
Kouhei Tsumoto ◽  
...  
Keyword(s):  
Spectroscopic Analysis ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Biomolecular Recognition ◽  
Biological Application ◽  
New Class ◽  
Proteolytic Resistance ◽  
Pharmacokinetic Properties ◽  
Optically Pure ◽  
Three Dimensional Space

<div> <div> <div> <p>“Peptoids” was proposed, over decades ago, as a term describing analogs of peptides that exhibit better physicochemical and pharmacokinetic properties than peptides. Oligo-(N-substituted glycines) (oligo-NSG) was previously proposed as a peptoid due to its high proteolytic resistance and membrane permeability. However, oligo-NSG is conformationally flexible and is difficult to achieve a defined shape in water. This conformational flexibility is severely limiting biological application of oligo-NSG. Here, we propose oligo-(N-substituted alanines) (oligo-NSA) as a new peptoid that forms a defined shape in water. A synthetic method established in this study enabled the first isolation and conformational study of optically pure oligo-NSA. Computational simulations, crystallographic studies and spectroscopic analysis demonstrated the well-defined extended shape of oligo-NSA realized by backbone steric effects. The new class of peptoid achieves the constrained conformation without any assistance of N-substituents and serves as an ideal scaffold for displaying functional groups in well-defined three-dimensional space, which leads to effective biomolecular recognition. </p> </div> </div> </div>

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