Design of Data Model for 3D Geospatial Information-based Highway Management using LandInfra Standard

2021 ◽  
Vol 23 (1) ◽  
pp. 87-94
Author(s):  
Munkhbaatar Buuveibaatar ◽  
Sung Pil Shin
2019 ◽  
Vol 85 ◽  
pp. 07020
Author(s):  
Codrina Maria Ilie ◽  
Radu Constantin Gogu

The purpose of this paper is to present the state-of-art of groundwater geospatial information management, highlighting the relevant data model characteristics and technical implementation of the European Directive 2007/2/EC, also known as the INSPIRE Directive. The maturity of the groundwater geodata management systems is of crucial importance for any kind of activity, be it a research project or an operational service of monitoring, protection or exploitation activities. An ineffective and inadequate geodata management system can significantly increase costs or even overthrow the entire activity ([1-3]). Furthermore, following the technological advancement and the extended scientific and operational interdisciplinary connectivity at national and international scale, the interoperability characteristics are becoming increasingly important in the development of groundwater geospatial information management. From paper recordings to digital spreadsheets, from relational database to standardized data models, the manner in which the groundwater data was gathered, stored, processed and visualized has changed significantly over time. Aside from the clear technical progress, the design that captures the natural connections and dependencies between each groundwater feature and phenomena have also evolved. The second part of our paper address the variations that occurred when outlining the different groundwater geospatial information management models, differences that depict the complexity of hydrogeological data.


2020 ◽  
Vol 206 ◽  
pp. 03018
Author(s):  
Jia Zhang ◽  
Xiulian Wang ◽  
Xiaotong Zhang ◽  
Xiaofei Bai ◽  
Qiang Chen

In the face of ever-growing and complex massive multi-source spatiotemporal data, the traditional vector data model is increasingly difficult to meet the needs of efficient data organization, management, calculation and analysis. Based on the simple and widely used geographic grid data organization model, this paper designs a technical method to convert vector data into multi-scale grid data, establishes a unified, standardized and seamless land spatial grid data model, and analyses the area accuracy of multi-scale grid data. Practice shows that the model can better meet the needs of multi-scale geospatial information integration and analysis, and it is easy to carry out distributed data processing, which provides technical support for the efficient organization, fusion and analysis of spatiotemporal data.


Author(s):  
J. Yan ◽  
S. W. Jaw ◽  
R. V. Son ◽  
K. H. Soon ◽  
G. Schrotter

<p><strong>Abstract.</strong> Cities around the world face an increasing need for land as density in urban areas increases rapidly. The pressure to expand a city’s space is especially acute for a city-state like Singapore. How to make better use of underground space? This issue becomes much more emergent in the urban development. In the big data era, a data-driven approach of underground spaces is necessary for the sustainable development of a city along with rapid urbanization. A reliable three dimensional (3D) digital map of utility networks is crucial for urban planners to understand one of the most impactful aspects of the underground space planning. The mapping underground utility networks is a challenging task, especially for cities with limited land resources, congested underground spaces, and a lack of uniform existing practices. This paper proposes a framework to organise the workflow from an underground utility data survey to data use. This framework includes two core parts: A 3D utility network data model that aims to convert utility survey data to 3D geospatial information, and a 3D utility cadastral data model that supports utility ownership management. It is expected that reliable and accurate information on underground utility networks can lead to a better understanding and management of underground space, which eventually contributes to better city planning, making the unseen structures visible.</p>


Author(s):  
M. Buuveibaatar ◽  
M. G. Kim ◽  
S. P. Shin

Abstract. This paper presents the modeling of the 44 registration subjects officially recorded in the road register of Korea to an international geospatial open standard. Due to current requirements, needs in road management and maintenance, road register data management must be improved as more data is accumulated and collected. Most importantly the metadata concerning road register assets is increasingly important in terms of data quality. This work discussed how OGC LandInfra international open standard will possibly be applied to the Korean Road Register for Highway Management and Maintenance. As a result, we proposed an OGC LandInfra standard-based road data model showing the standard can possibly be applied to the road register.


Author(s):  
Rahim Ali Abbaspour ◽  
Simin S. Mirvahabi

Navigation has been an inseparable part of human life especially in modern days, when the structures of cities and their buildings' indoor environments have been more complex. More than 80% of routine life of a typical citizen is spent in indoor and the indoor environment are getting highly complex due to the increase in sizes of the buildings. An important factor to a successful indoor navigation is the precise suitable map for the inside of the buildings. Collection and generation of indoor geospatial data is very time consuming and costly for a building. Using the concept of volunteered geospatial information might be a suitable solution to deal with this problem. This chapter addresses the extraction of a data model for indoor navigation from VGI. An efficient methodology is proposed and evaluated to extract the navigation data model from OpenStreetMap automatically to use in indoor navigation applications.


2008 ◽  
Author(s):  
Pedro J. M. Passos ◽  
Duarte Araujo ◽  
Keith Davids ◽  
Ana Diniz ◽  
Luis Gouveia ◽  
...  

2019 ◽  
Vol 13 (1-2) ◽  
pp. 95-115
Author(s):  
Brandon Plewe

Historical place databases can be an invaluable tool for capturing the rich meaning of past places. However, this richness presents obstacles to success: the daunting need to simultaneously represent complex information such as temporal change, uncertainty, relationships, and thorough sourcing has been an obstacle to historical GIS in the past. The Qualified Assertion Model developed in this paper can represent a variety of historical complexities using a single, simple, flexible data model based on a) documenting assertions of the past world rather than claiming to know the exact truth, and b) qualifying the scope, provenance, quality, and syntactics of those assertions. This model was successfully implemented in a production-strength historical gazetteer of religious congregations, demonstrating its effectiveness and some challenges.


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