Visualization Techniques for Spatial Data

2010 ◽  
pp. 190-225
Keyword(s):  
Spatial Data ◽  
Visualization Techniques

3D Visualization for Hydrocarbon Project Design

2008 ◽  
Author(s):  
Scott Neurauter ◽  
Sabrina Szeto ◽  
Matt Tindall ◽  
Yan Wong ◽  
Chris Wright
Keyword(s):  
Spatial Data ◽  
3D Visualization ◽  
Dimensional Space ◽  
Three Dimensional ◽  
3D Models ◽  
3D Analysis ◽  
Cost Efficient ◽  
Ground Truthing ◽  
Elevation Model ◽  
Visualization Techniques

3D visualization is the process of displaying spatial data to simulate and model a real three dimensional space. Using 3D visualization, Geomatic professionals are enabling pipeline engineers to make better decisions by providing an increased understanding of potential costs earlier in the design process. This paper will focus on the value of visualizing Digital Elevation Model (DEM) data through the use of hillshades and imagery-draped 3D models. From free online DEM data to high resolution Light Detection and Ranging (LiDAR) derived DEM data, the increased availability allows for a broader use of 3D visualization techniques beyond 3D analysis. Of the numerous sources available, two DEM sources will be discussed in this paper, the free low resolution DEM (CDED Level 1) and the more costly but higher resolution LiDAR based DEM. Traditional methods of evaluating potential locations for route and facilities involved a significant cost for ground truthing. Through the use of 3D visualization products, multiple potential locations can be examined for suitability without the expense of field visits for every candidate site. By focusing on the selected candidate locations using a visual desktop study, the time and expense of ground truthing all of the potential sites can be reduced significantly. Exploiting the visual value of DEM permits a productive and cost efficient methodology for initial route and facility placement on hydrocarbon projects.

scholarly journals Visualization techniques in agriculture

2014 ◽  
pp. 95-98
Author(s):  
Péter Ragán ◽  
Károly Bakó ◽  
Tamás Dövényi-Nagy
Keyword(s):  
Spatial Data ◽  
Cost Effective ◽  
Google Earth ◽  
Main Role ◽  
Web Based ◽  
Database Structure ◽  
Representation Method ◽  
Visualization Techniques ◽  
The University

This paper describes a dynamic map representation method which provides a flexible, spectacular and cost-effective opportunity for the illustration and description of spatial data due to its parametrability, web-based publication and the free sowftare it uses in multi-user circumstances. The tasks of the database serves and the processing were performed by an ASUS WL-500 G Premium v2 router and a 80 GB hard disk. The database contains the measured data of the nitrogen fertilisation experiment established on the Látókép Experiment Site of the Centre for Agricultural Sciences of the University of Debrecen. The tests showed that the generation time of the processor which was run through the router did not significantly increase. Therefore, the configuration developed by us is suitable for users who do not wish to invest into a large and expensive server, but they still want to view their data quickly and easily, as well as to reach them from anywhere. The available data were not sorted into a database which was performed with Quantum GIS in a way to have an optimum database structure which is adjusted to the expected areas of use and the expected running speeds were also taken into consideration. The processor which processes the database items was written in PHP language. The main role of the processor is that it produces a KML file real time which is suitable for viewing with a given map viewer client (e.g. Google Earth). This application makes it possible to view information related to geographical objects, values stored in the database or those calculated by the processor on a map in 2D or 3D in a versatile way.

Integration and visualization of spatial data in LIFE

2017 ◽  
Vol 59 (4) ◽  
Author(s):  
Ying-Chi Lin ◽  
Anika Groß ◽  
Toralf Kirsten
Keyword(s):  
Spatial Data ◽  
Web Application ◽  
Local Population ◽  
Spatial Dimension ◽  
Epidemiological Studies ◽  
Heterogeneous Data ◽  
Health Related ◽  
Geographical Maps ◽  
Visualization Techniques

AbstractIt is usually a challenging task to integrate and analyze huge amounts of heterogeneous data in large medical research projects. Often meaningful new insights can be achieved by visualizing medical data on geographical maps. For instance in epidemiological studies, data is often explored on a spatial dimension. LIFE is a large epidemiological study, managed by the LIFE Research Center for Civilization Diseases at Leipzig University. The study investigates the health-related states of the local population, e.g. by looking at the role of lifestyle factors on major civilization diseases. To allow for an effective data exploration, the development of sophisticated data analysis and spatial visualization techniques is necessary. Here, we present the interactive web application

scholarly journals ANALYTIC NETWORK PROCESS (ANP) AND VISUALIZATION OF SPATIAL DATA: THE USE OF DYNAMIC MAPS IN TERRITORIAL TRANSFORMATION PROCESSES

2011 ◽  
Vol 3 (2) ◽  
Author(s):  
Isabella Maria Lami ◽  
Elena Masala ◽  
Stefano Pensa
Keyword(s):  
Spatial Data ◽  
Analytic Network Process ◽  
Railway Line ◽  
Starting Point ◽  
Network Process ◽  
Decision Making Processes ◽  
Visualization Techniques ◽  
Territorial Transformation ◽  
Transformation Processes ◽  
Modelling System

<p>Multiple Criteria Decision Analysis (MCDA) is generally used to support planning and decision making processes, but the sharing of information is often limited by two main factors. First, many users have difficulty reading output data, especially tables, matrixes or databases. Second, the presence of many actors introduces different disciplines, knowledge, interests and languages. This paper shows the contribution that the visualization of spatial data can give to the Analytic Network Process (ANP) (Saaty, 2005; 2001; Saaty, Vargas, 2006). This study aims to use visualization techniques to create a common grammar among actors involved, and a shared basis for generating discussion. To do this we have implemented on-going research on a modelling system which is able to visualize various kinds of data in real time. This modelling system works on generative and parametric features applied to datasets, and is based on McNeel’s “Rhinoceros” software and its free plug-in "Grasshopper". The starting point of the work described here is an application on a German section of Corridor 24, Genoa-Rotterdam, part of an Interreg IVB NEW Project, called “Code24”. The goal of this ANP application is to rank three scenarios of improvement of the "Betuwe" railway line connecting Oberhausen to the Dutch borders. The research resulted in an academic internal application which allowed us to improve the system for use in real-world focus groups which included the main stakeholders of these territorial transformation projects.</p><p>http://dx.doi.org/10.13033/ijahp.v3i2.109</p>

scholarly journals Design as semiosis: A design mechanism for place branding

2019 ◽  
Author(s):  
Eirini Krasaki
Keyword(s):  
Spatial Data ◽  
Parametric Design ◽  
Place Branding ◽  
Design Data ◽  
Key Characteristics ◽  
Combining Data ◽  
Design Mechanism ◽  
Visualization Techniques ◽  
Selection Of ◽  
Written Speech

The described design methodology combines parametric design, data analysis, algorithmic design and semiotics theory to systematically analyze urban reality. The analysis leads to a creation of a nebula of data which corresponds to the place of interest. The nebula of data consists of networks of semiotics spatially defined. Through the proposed methodology, semiotics are used to enhance the perception that we have for a place and create a strategy for its' branding. Space is not approached as an empty container but as a complex system that consists of material and immaterial elements. The characteristics of these elements are quantified by their context and the logics of description to which they correspond. Logics of description are constantly changing following the multiplicity and the expansion of concepts. Therefore, space is constantly redefined following the transformation of the corresponding virtual data. Considering that each framework draws up an ideology following the change of context and the logics of description, a tool (machine) for analyzing written speech is developed, combining data visualization techniques, linguistics and design methodologies to configure logics of description. Written speech is transformed into a series of networks, visualizing their ontological relationships and disregarding the factor of time. A nebula of data corresponding to the mental reality of space is formed. Following a methodological procedure, the nebula of space is transformed to a nebula of place. The nebula of place contains its' key characteristics parametrized. A selection of these characteristics is combined to create the brand of the place concerning its' context and logics of description. The before mentioned methodological tool connects people, spaces, and machines enabling the connection of spatial data to create the impression (brand) of a place.

Analysis of transportation access and geological knowledge based on GIS technologies for exploration planning in Altai-Sayany fold area

2021 ◽  
pp. 40-51
Author(s):  
Anastasia Antonets ◽  
Andrey Vakhrushev ◽  
Alexander Chernykh
Keyword(s):  
Data Analysis ◽  
Spatial Data ◽  
Digital Data ◽  
Spatial Data Analysis ◽  
Design Characteristic ◽  
Gis Technologies ◽  
Knowledge Based ◽  
Visualization Techniques ◽  
Quantitative Indicators

The paper assesses transportation access for various regions of the southwestern Altai-Sayany fold area (ASFA) and analyzes geological knowledge about gold based on spatial data analysis using GIS technologies. This work is based on our technique. This technique allowed to convert qualitative concepts (access, knowledge and development) into quantitative indicators useful to compare various clusters within one region as well as various regions. The main constituents of transportation access (distance from roads, topography slope and terrain trafficability) are characterized in detail. The main computation methods and design characteristic visualization techniques are presented. Quantification of gold knowledge density allowed validation of its diversity and recognition of underexplored areas. Based on complexing the obtained digital data, the paper shows that underexplored gold districts and clusters are identified in the southern, less accessible part. Correlation of trafficability and geological knowledge is revealed; these indicators are found to affect metallogenic zoning concepts. The conclusion is validated that the current ideas about ASFA gold potential and metallogenic zoning are determined by both geology and trafficability, and the current geological know-ledge level.

Predicting spatial activity patterns in a neural map from a probabilistic atlas of 3-D reconstructed neurons

1995 ◽  
Vol 53 ◽  
pp. 812-813
Author(s):  
G. Jacobs ◽  
F. Theunissen
Keyword(s):  
Activity Patterns ◽  
Three Dimensional ◽  
Sensory System ◽  
Neural System ◽  
Probabilistic Atlas ◽  
Uniform Sample ◽  
Dimensional Reconstruction ◽  
The Time Domain ◽  
And Function ◽  
Visualization Techniques

In order to understand how the algorithms underlying neural computation are implemented within any neural system, it is necessary to understand details of the anatomy, physiology and global organization of the neurons from which the system is constructed. Information is represented in neural systems by patterns of activity that vary in both their spatial extent and in the time domain. One of the great challenges to microscopists is to devise methods for imaging these patterns of activity and to correlate them with the underlying neuroanatomy and physiology. We have addressed this problem by using a combination of three dimensional reconstruction techniques, quantitative analysis and computer visualization techniques to build a probabilistic atlas of a neural map in an insect sensory system. The principal goal of this study was to derive a quantitative representation of the map, based on a uniform sample of afferents that was of sufficient size to allow statistically meaningful analyses of the relationships between structure and function.

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