A Novel Approach for Automatic Matching and Updating Pipeline Data

2014 ◽  
Author(s):  
Michel Morgan ◽  
Lindsay Giles
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Environmental Data ◽  
Geometric Transformation ◽  
Business Partners ◽  
Novel Approach ◽  
Pipeline Project ◽  
Automatic Matching ◽  
Environmental Consulting ◽  
Different Sources

Pipelines are multidisciplinary projects from their planning, design, and construction to their maintenance and upgrade. The success of a pipeline project relies heavily on coordination among environmental assessment disciplines, clients, subcontractors, and vendors. Geographic information systems (GIS) play a major role in managing data and information across disciplines, and each environmental consulting company usually has at least one GIS department, which takes a lead role in maintaining current and historical data and information, and distributing it to various disciplines and business partners. We are developing a novel algorithm to utilize spatial data and convert it into useful geo-spatial information that a GIS department can directly utilize. Pipeline and environmental data from different sources undergo automatic registration, where common features between datasets are automatically detected and geometric transformation functions are automatically estimated. Experimental results demonstrate the robustness of the algorithm against changes or outliners and the accuracy of the transformation.

Giscience in the Mountain Geography

2010 ◽  
Vol 27 (1-2) ◽  
pp. 81-90
Author(s):  
Krishna Poudel
Keyword(s):  
Spatial Data ◽  
Environmental Data ◽  
Temporal Data ◽  
Observation Systems ◽  
Research Findings ◽  
Temporal And Spatial ◽  
Temporal And Spatial Characteristics ◽  
Mountain Geography ◽  
Different Sources

Mountains have distinct geography and are dynamic in nature compared to the plains. 'Verticality' and 'variation' are two fundamental specificities of the mountain geography. They possess distinct temporal and spatial characteristics in a unique socio-cultural setting. There is an ever increasing need for spatial and temporal data for planning and management activities; and Geo Information (GI) Science (including Geographic Information and Earth Observation Systems). This is being recognized more and more as a common platform for integrating spatial data with social, economic and environmental data and information from different sources. This paper investigates the applicability and challenges of GISscience in the context of mountain geography with ample evidences and observations from the mountain specific publications, empirical research findings and reports. The contextual explanation of mountain geography, mountain specific problems, scientific concerns about the mountain geography, advances in GIScience, the role of GIScience for sustainable development, challenges on application of GIScience in the contexts of mountains are the points of discussion. Finally, conclusion has been made with some specific action oriented recommendations.

THE NEXT GENERATION SPATIAL DATA WAREHOUSE

2002 ◽  
Vol 42 (1) ◽  
pp. 633
Author(s):  
A.J. Yardley
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Essential Element ◽  
Spatial Location ◽  
Geographic Information ◽  
Environmental Data ◽  
Next Generation ◽  
Data Types ◽  
Political Boundaries ◽  
Access To Data

Woodside Energy, based in Perth, Western Australia, has commenced the implementation of its next generation spatial data warehousing and visualisation system. The warehouse facilitates access to data in various corporate geoscience data sets, as well as up-to-date cultural and environmental data. It expands the capabilities of the existing geoscience database by providing a facility to handle spatial data at the database level rather than in files and maps. Spatial data can now be kept in the database, in its correct spatial location, and with a known provenance.Woodside’s worldwide exploration, development and production activities require the use of a wide variety of geographic data such as seismic, bathymetry, wells, permits, coastlines, political boundaries, navigation charts, remote sensing and geological interpretations.Geo-spatial data comes to Woodside in a variety of formats, datums and conditions. The Geomatics Department, through the Geoscience Database and Spatial Information Management teams, loads, maintains and manages all data considered to be corporate. It is quality controlled and placed into the warehouse, where it is readily accessible to technical and administrative staff.Location is an essential element in most Woodside decisions. Because of the new spatial capabilities, a number of geographic information processes are now possible. Additionally information can also be made available through the internet if required.Reliable geographic information will become more widely available in the organisation, and be more easily merged with traditional data types, enhancing the decision-making process.

scholarly journals Geovisualization Techniques of Spatial Environmental Data Using Different Visualization Tools

2020 ◽  
Vol 10 (19) ◽  
pp. 6701
Author(s):  
Dániel Balla ◽  
Marianna Zichar ◽  
Róbert Tóth ◽  
Emőke Kiss ◽  
Gergő Karancsi ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Spatial Data ◽  
Spatial Databases ◽  
Spatial Information ◽  
Central Area ◽  
Environmental Data ◽  
Cognitive Approach ◽  
North West ◽  
Distribution Maps ◽  
Sewage System

The appearance of online map services and frameworks (e.g., KML, QGIS) has increased the possibilities to easily, quickly and—in many cases—cost-effectively publish spatial data stored in databases. The aim of this study is to present the geovisualization of spatial databases of a Hungarian settlement on the web, using the open source webGIS system and Google application programming interfaces (APIs). The interactive point and interpolated distribution maps available online provide a detailed picture of the level of contamination, the spatial distribution of the ground water supply of the investigated settlement, and the changes which have occurred following the establishment of the sewage system. In the case of PO43− we determined that in the year before the sewage system was constructed, most of the area of the settlement could be considered contaminated, with the highest level of contamination measured in the central area of the settlement. Five years after the construction of the sewage system, the ratio of the contaminated areas had significantly decreased. In the case of NO3− we found a high level of contamination before the construction of the sewage system with a concentration increase in a North–West direction. After the establishment of the sewage system, the increase in concentration was the most intense in the central parts of the settlement, while the characteristic spatial distribution could no longer be observed. The geovisualization techniques developed are able to provide information about the different spatial data for users in a visual way, and also help to understand better the spatial information using a cognitive approach. The advantage of interactive web maps created with the technologies applied over traditional static maps is a new approach, which allows the user to manipulate the temporal and spatial data directly in the most appropriate way.

scholarly journals Open Source Based Deployment of Environmental Data into Geospatial Information Infrastructures

2012 ◽  
Vol 3 (2) ◽  
pp. 6-23 ◽  
Author(s):  
José Gil ◽  
Laura Díaz ◽  
Carlos Granell ◽  
Joaquín Huerta
Keyword(s):  
Open Source ◽  
Spatial Data ◽  
New Technologies ◽  
Spatial Information ◽  
Environmental Data ◽  
Geospatial Information ◽  
Government Organizations ◽  
Development Framework ◽  
Geospatial Tools ◽  
Open Development

Today, scientists use local and closed geospatial solutions to run their models and store their results. This may limit their ability to share their models, and results with other interested colleagues. This scenario is changing with the advent of new factors such as the rapid growth and rise of open source projects, or new paradigms promoted by government organizations to manage environmental data, such as Infrastructure for Spatial Information in the European Community (INSPIRE) directive, or the massive use of Web 2.0 techniques where users are looking for applications with a high degree of collaboration, interactiveness, and multimedia effects. Many authors address the versatility of Spatial Data Infrastructures where resources are shared and accessed via standard service according to complex specifications. In this context, the authors point out the need to merge the traditional building and maintenance of these infrastructures, driven by official providers, with these more participative methodologies where users can participate in creating and integrating information. It seems necessary to develop new geospatial tools which integrate these new trends. This paper proposes a unified solution offering to the scientific field an open development framework, based on standards and philosophies focused on new technologies and scientific needs.

SPATIAL QUERY PROCESSING USING GENERALIZED FILTER

2000 ◽  
Vol 09 (01n02) ◽  
pp. 77-91 ◽  
Author(s):  
XIAOFANG ZHOU ◽  
XUEMIN LIN ◽  
CHENGFEI LIU ◽  
JINLI CAO
Keyword(s):  
Query Processing ◽  
Spatial Data ◽  
Environmental Data ◽  
Spatial Query ◽  
Candidate Sequence ◽  
Spatial Query Processing ◽  
Processing Step ◽  
Spatial Expressions ◽  
Using Data ◽  
Different Sources

Spatial data, ranging from various land information data to different types of environmental data, are typically collected and used by different custodians. The full benefits of using spatial data can be achieved by combining the data from different sources covering a common region. Due to organizational, political and technical reasons, it is unrealistic to physically integrate the vast amount of spatial data managed by different systems in different organizations. A practical approach is to provide interoperability to support multi-site data queries. In this paper, we study the performance aspect of complex spatial query processing. We propose a framework for processing queries with multiple spatial and aspatial predicates using data from multiple sites. Using a new concept called generalized filter, a query is processed in three steps. First, an aspatial filter that incorporates some conditions derived from spatial predicates is used to find a set of candidates, which is a superset of the final query results. Then, the candidates are manipulated and a refinement step is executed following an optimized candidate sequence. Finally, a post-processing step is used to handle spatial expressions in query results. The focus of this paper is to generate enhanced filters in order to minimize the need of transferring and processing complex spatial data.

scholarly journals Open Source Based Deployment of Environmental Data into Geospatial Information Infrastructures

2013 ◽  
pp. 952-969 ◽  
Author(s):  
José Gil ◽  
Laura Díaz ◽  
Carlos Granell ◽  
Joaquín Huerta
Keyword(s):  
Open Source ◽  
Spatial Data ◽  
New Technologies ◽  
Spatial Information ◽  
Environmental Data ◽  
Geospatial Information ◽  
Government Organizations ◽  
Geospatial Tools ◽  
Open Development ◽  
Data Infrastructures

Today, scientists use local and closed geospatial solutions to run their models and store their results. This may limit their ability to share their models, and results with other interested colleagues. This scenario is changing with the advent of new factors such as the rapid growth and rise of open source projects, or new paradigms promoted by government organizations to manage environmental data, such as Infrastructure for Spatial Information in the European Community (INSPIRE) directive, or the massive use of Web 2.0 techniques where users are looking for applications with a high degree of collaboration, interactiveness, and multimedia effects. Many authors address the versatility of Spatial Data Infrastructures where resources are shared and accessed via standard service according to complex specifications. In this context, the authors point out the need to merge the traditional building and maintenance of these infrastructures, driven by official providers, with these more participative methodologies where users can participate in creating and integrating information. It seems necessary to develop new geospatial tools which integrate these new trends. This paper proposes a unified solution offering to the scientific field an open development framework, based on standards and philosophies focused on new technologies and scientific needs.

A New Role on the Pipeline EPCM Project

2006 ◽  
Author(s):  
David Parker
Keyword(s):  
Spatial Data ◽  
Construction Projects ◽  
Information Technologies ◽  
New Technologies ◽  
Spatial Information ◽  
New Technology ◽  
Lessons Learned ◽  
Pipeline Project ◽  
Speed Accuracy ◽  
Design And Construction

Recent developments in the application of spatial information technologies have brought opportunities for dramatic improvements in speed, accuracy and cost-effectiveness of production of pipeline project deliverables. In addition to the potential for design and construction improvements, life cycle improvements are found through the use of spatial data relating to pipeline operation, environmental stewardship, regulatory, public and other stakeholder communications. However, these opportunities have not been consistently captured on all pipeline jobs. Part of the challenge in the introduction of new technology is to align members of the team so that skills and assigned tasks are matched. Traditionally, pipeline design and construction projects have employed a proven team organization structure. Changes to the tradition are necessary. This paper discusses the main advantages of using spatial information on a pipeline project. Furthermore, a discussion of the various project team roles explores how to leverage the new technologies effectively. Examples drawn from the largest pipeline projects currently in process will highlight the lessons learned to date.

DARCY RIBEIRO UNIVERSITY CAMPUS MAP – 2017- TECHNICAL NOTE

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Rafael Sanzio Araújo dos Anjos ◽  
Jose Leandro de Araujo Conceição ◽  
Jõao Emanuel ◽  
Matheus Nunes
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Technical Note ◽  
University Campus ◽  
Communication Tool ◽  
Sources Of Information ◽  
Data Manipulation ◽  
Geographic Space ◽  
The Many ◽  
New Generation

The spatial information regarding the use of territory is one of the many strategies used to answer and to inform about what happened, what is happening and what may happen in geographic space. Therefore, the mapping of land use as a communication tool for the spatial data made significant progress in improving sources of information, especially over the last few decades, with new generation remote sensing products for data manipulation.

An Optimal Framework for Spatial Query Optimization Using Hadoop in Big Data Analytics

2019 ◽  
Vol 12 ◽  
Author(s):  
Pankaj Dadheech ◽  
Dinesh Goyal ◽  
Sumit Srivastava ◽  
Ankit Kumar
Keyword(s):  
Big Data ◽  
Query Optimization ◽  
Spatial Data ◽  
Spatial Information ◽  
Big Data Analytics ◽  
Spatial Query ◽  
Data Process ◽  
Boolean Queries ◽  
Spatial Query Optimization ◽  
Hadoop System

Spatial queries frequently used in Hadoop for significant data process. However, vast and massive size of spatial information makes it difficult to process the spatial inquiries proficiently, so they utilized the Hadoop system for process Big Data. We have used Boolean Queries & Geometry Boolean Spatial Data for Query Optimization using Hadoop System. In this paper, we show a lightweight and adaptable spatial data index for big data which will process in Hadoop frameworks. Results demonstrate the proficiency and adequacy of our spatial ordering system for various spatial inquiries.

scholarly journals Development of Multilayer-Based Map Matching to Enhance Performance in Large Truck Fleet Dispatching

2021 ◽  
Vol 10 (2) ◽  
pp. 79
Author(s):  
Ching-Yun Mu ◽  
Tien-Yin Chou ◽  
Thanh Van Hoang ◽  
Pin Kung ◽  
Yao-Min Fang ◽  
...  
Keyword(s):  
Data Structures ◽  
Spatial Data ◽  
Spatial Information ◽  
Data Retrieval ◽  
Spatial Data Mining ◽  
Map Matching ◽  
Matching Algorithm ◽  
Table Method ◽  
Look Up Table ◽  
The Look

Spatial information technology has been widely used for vehicles in general and for fleet management. Many studies have focused on improving vehicle positioning accuracy, although few studies have focused on efficiency improvements for managing large truck fleets in the context of the current complex network of roads. Therefore, this paper proposes a multilayer-based map matching algorithm with different spatial data structures to deal rapidly with large amounts of coordinate data. Using the dimension reduction technique, the geodesic coordinates can be transformed into plane coordinates. This study provides multiple layer grouping combinations to deal with complex road networks. We integrated these techniques and employed a puncture method to process the geometric computation with spatial data-mining approaches. We constructed a spatial division index and combined this with the puncture method, which improves the efficiency of the system and can enhance data retrieval efficiency for large truck fleet dispatching. This paper also used a multilayer-based map matching algorithm with raster data structures. Comparing the results revealed that the look-up table method offers the best outcome. The proposed multilayer-based map matching algorithm using the look-up table method is suited to obtaining competitive performance in identifying efficiency improvements for large truck fleet dispatching.

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