scholarly journals BiGeo: A Foundational PaaS Framework for Efficient Storage, Visualization, Management, Analysis, Service, and Migration of Geospatial Big Data—A Case Study of Sichuan Province, China

2019 ◽  
Vol 8 (10) ◽  
pp. 449
Author(s):  
Xi Liu ◽  
Lina Hao ◽  
Wunian Yang
Keyword(s):  
Big Data ◽  
Spatial Data ◽  
Information Technologies ◽  
Earth Science ◽  
Rapid Development ◽  
Geographic Information ◽  
Sichuan Province ◽  
Geographic Information Technologies ◽  
Information Research ◽  
Big Data Technologies

With the rapid development of big data, numerous industries have turned their focus from information research and construction to big data technologies. Earth science and geographic information systems industries are highly information-intensive, and thus there is an urgent need to study and integrate big data technologies to improve their level of information. However, there is a large gap between existing big data and traditional geographic information technologies. Owing to certain characteristics, it is difficult to quickly and easily apply big data to geographic information technologies. Through the research, development, and application practices achieved in recent years, we have gradually developed a common geospatial big data solution. Based on the formation of a set of geospatial big data frameworks, a complete geospatial big data platform system called BiGeo was developed. Through the management and analysis of massive amounts of spatial data from Sichuan Province, China, the basic framework of this platform can be better utilized to meet our needs. This paper summarizes the design, implementation, and experimental experience of BiGeo, which provides a new type of solution to the research and construction of geospatial big data.

Supporting Aeronautical Information Management (AIM) Through Geographic Information Technologies and Spatial Data Infrastructures (SDI)

2016 ◽  
Vol 7 (3) ◽  
pp. 1-37
Author(s):  
Willington Siabato ◽  
Javier Moya-Honduvilla ◽  
Miguel Ángel Bernabé-Poveda
Keyword(s):  
Information Management ◽  
Spatial Data ◽  
Information Technologies ◽  
Geographic Information ◽  
Information Services ◽  
Air Traffic ◽  
Geographic Information Technologies ◽  
Web Architecture ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an efficient and coordinated use and exchange of aeronautical information. Geographic information technologies (GIT) and spatial data infrastructures (SDI) are comprehensive technologies upon which any service that integrates geospatial information can rely. The authors are working on the assumption that the foundations and underlying technologies of GIT and SDI can be applied to support aeronautical data and services, considering that aeronautical information contains a large number of geospatial components. This article presents the design, development, and implementation of a Web-based system architecture to evolve and enhance the use and management of aeronautical information in any context, e.g., in aeronautical charts on board, in control towers, and in aeronautical information services. After conducting a study into the use of aeronautical information, it was found that users demand specific requirements regarding reliability, flexibility, customization, integration, standardization, and cost reduction. These issues are not being addressed with existing systems and methods. A system compliant with geographic standards (OGC, ISO) and aeronautical regulations (ICAO, EUROCONTROL) and supported by a scalable and distributed Web architecture is proposed. This proposal would solve the shortcomings identified in the study and provide aeronautical information management (AIM) with new methods and strategies. In order to seek aeronautical data and services interoperability, a comprehensive aeronautical metadata profile has been defined. This proposal facilitates the use, retrieval, updating, querying, and editing of aeronautical information, as well as its exchange between different private and public institutions. The tests and validations have shown that the proposal is achievable.

Supporting Aeronautical Information Management (AIM) Through Geographic Information Technologies and Spatial Data Infrastructures (SDI)

2019 ◽  
pp. 306-348
Author(s):  
Willington Siabato ◽  
Javier Moya-Honduvilla ◽  
Miguel Ángel Bernabé-Poveda
Keyword(s):  
Information Management ◽  
Spatial Data ◽  
Information Technologies ◽  
Geographic Information ◽  
Information Services ◽  
Air Traffic ◽  
Geospatial Information ◽  
Geographic Information Technologies ◽  
Data Infrastructures ◽  
Spatial Data Infrastructures

The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an efficient and coordinated use and exchange of aeronautical information. Geographic information technologies (GIT) and spatial data infrastructures (SDI) are comprehensive technologies upon which any service that integrates geospatial information can rely. The authors are working on the assumption that the foundations and underlying technologies of GIT and SDI can be applied to support aeronautical data and services, considering that aeronautical information contains a large number of geospatial components. This article presents the design, development, and implementation of a Web-based system architecture to evolve and enhance the use and management of aeronautical information in any context, e.g., in aeronautical charts on board, in control towers, and in aeronautical information services. After conducting a study into the use of aeronautical information, it was found that users demand specific requirements regarding reliability, flexibility, customization, integration, standardization, and cost reduction. These issues are not being addressed with existing systems and methods. A system compliant with geographic standards (OGC, ISO) and aeronautical regulations (ICAO, EUROCONTROL) and supported by a scalable and distributed Web architecture is proposed. This proposal would solve the shortcomings identified in the study and provide aeronautical information management (AIM) with new methods and strategies. In order to seek aeronautical data and services interoperability, a comprehensive aeronautical metadata profile has been defined. This proposal facilitates the use, retrieval, updating, querying, and editing of aeronautical information, as well as its exchange between different private and public institutions. The tests and validations have shown that the proposal is achievable.

scholarly journals THE ROLE OF GEOMATICS ENGINEER IN SMART CITIES: A VIEW WITHIN THE FRAMEWORK OF TURKISH 2020–2023 NATIONAL SMART CITIES STRATEGY AND ACTION PLAN

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 333-341
Author(s):  
K. Konur ◽  
R. M. Alkan
Keyword(s):  
Spatial Data ◽  
Information Technologies ◽  
Smart Cities ◽  
Action Plan ◽  
Geographic Information ◽  
Geographic Information Technologies ◽  
Geographic Data ◽  
Technological Developments ◽  
Made In

Abstract. The development of technology resulted major revolutions in the cities. With the integration of technological developments into cities, the concept of smart cities began to emerge. Today, applications are made on smart cities in many countries. It is not possible to build a smart city without geographic data. It is one of the main duties of Geomatics Engineers to produce, use, process and finalize the geographic data and present it to the user. In this study, referring to the role of Geomatics Engineer in smart cities across Turkey 2020-2023 National Smart Cities Strategy and Action Plan framework is made in the investigations. When this plan is examined, it is seen that the importance of geographical/geo-spatial data and geo-information technologies for the realization of smart cities is an undeniable fact. In the 2020–2023 National Smart Cities Strategy and Action Plan, it has been clearly demonstrated that Geographic Information Systems and Geographic Information Technologies have a great role in creating smart cities.

The data warehouse for primary geological and geophysical data: an aspect of creation

2020 ◽  
Vol 1 (4) ◽  
pp. 45-49
Author(s):  
Oleg Zurian ◽  
O. Likhosherstov
Keyword(s):  
Big Data ◽  
Data Warehouse ◽  
High Speed ◽  
Information Technologies ◽  
Rapid Development ◽  
Geophysical Data ◽  
Digital Data ◽  
Geological Data ◽  
Big Data Technologies ◽  
Geological Prospect

The geological industry of Ukraine as a whole is sufficiently conservative. However, the development of world scientific thought and the improvement of the mineral extraction technologies require a rethinking of primary geological data (PGD). During the Soviet times, there was a rapid development of geological prospecting activities with creation and accumulation of PGD’s large volumes. Reinterpretation and rethinking of this information using the latest techniques, approaches and technologies is an important issue. An important aspect is to save this information, because large number of PGD remains on paper. The only way to facilitate the circulation of PGD and ensure their proper storage is to create a centralized digital data warehouse using the latest information technologies for storing, processing and analyzing data. Such actions should ensure the rapid retrieval and analysis of PGD, facilitate the planning of geological prospect and ensure overall performance, including economic efficiency. The article discusses aspects of data warehouse creating for primary geological and geophysical data. The infrastructure, architecture and creating stages of the data warehouse for primary geological data are highlighted. The authors are examined the technological approaches, stages of work on the data warehouse creation. Modern technologies, including technologies associated with Big Data, are considered as those that should be oriented to performers of work. Primary geological data is partially structured or unstructured, and its volumes are constantly growing with high speed. The introduction of modern Big Data technologies will allow creating flexible powerful systems that must ensure horizontal scaling of the system in terms of computing power and storage size, and carry out operational primary processing and analysis of the data, that the user needs.

Geographic Information System and Big Spatial Data

2020 ◽  
Vol 16 (4) ◽  
pp. 101-145
Author(s):  
Raja Sher Afgun Usmani ◽  
Ibrahim Abaker Targio Hashem ◽  
Thulasyammal Ramiah Pillai ◽  
Anum Saeed ◽  
Akibu Mahmoud Abdullahi
Keyword(s):  
Information System ◽  
Big Data ◽  
Geographic Information System ◽  
Spatial Data ◽  
Spatial Information ◽  
Geographic Information ◽  
Data Sources ◽  
Spatial Datasets ◽  
Big Data Technologies ◽  
The Impact

Geographic information system (GIS) is designed to generate maps, manage spatial datasets, perform sophisticated “what if” spatial analyses, visualize multiple spatial datasets simultaneously, and solve location-based queries. The impact of big data is in every industry, including the GIS. The location-based big data also known as big spatial data has significant implications as it forces the industry to contemplate how to acquire and leverage spatial information. In this study, a comprehensive taxonomy is created to provide a better understanding of the uses of GIS and big spatial data. The taxonomy is made up of big data technologies, GIS data sources, tools, analytics, and applications. The authors look into the importance of big spatial data and its implications, review the data sources, and GIS analytics, applications, and GIS tools. Furthermore, in order to guide researchers interested in GIS, the challenges that require substantial research efforts are taken into account. Lastly, open issues in GIS that require further observation are summarized.

scholarly journals The data warehouse for primary geological and geophysical data: an aspect of creation

2020 ◽  
pp. 45-49
Author(s):  
Oleg Zurian ◽  
O. Likhosherstov
Keyword(s):  
Big Data ◽  
Data Warehouse ◽  
High Speed ◽  
Information Technologies ◽  
Rapid Development ◽  
Geophysical Data ◽  
Digital Data ◽  
Geological Data ◽  
Big Data Technologies ◽  
Geological Prospect

The geological industry of Ukraine as a whole is sufficiently conservative. However, the development of world scientific thought and the improvement of the mineral extraction technologies require a rethinking of primary geological data (PGD). During the Soviet times, there was a rapid development of geological prospecting activities with creation and accumulation of PGD’s large volumes. Reinterpretation and rethinking of this information using the latest techniques, approaches and technologies is an important issue. An important aspect is to save this information, because large number of PGD remains on paper. The only way to facilitate the circulation of PGD and ensure their proper storage is to create a centralized digital data warehouse using the latest information technologies for storing, processing and analyzing data. Such actions should ensure the rapid retrieval and analysis of PGD, facilitate the planning of geological prospect and ensure overall performance, including economic efficiency. The article discusses aspects of data warehouse creating for primary geological and geophysical data. The infrastructure, architecture and creating stages of the data warehouse for primary geological data are highlighted. The authors are examined the technological approaches, stages of work on the data warehouse creation. Modern technologies, including technologies associated with Big Data, are considered as those that should be oriented to performers of work. Primary geological data is partially structured or unstructured, and its volumes are constantly growing with high speed. The introduction of modern Big Data technologies will allow creating flexible powerful systems that must ensure horizontal scaling of the system in terms of computing power and storage size, and carry out operational primary processing and analysis of the data, that the user needs.

scholarly journals Image Compression Using Fractal Functions

2021 ◽  
Vol 5 (2) ◽  
pp. 31
Author(s):  
Olga Svynchuk ◽  
Oleg Barabash ◽  
Joanna Nikodem ◽  
Roman Kochan ◽  
Oleksandr Laptiev
Keyword(s):  
Image Compression ◽  
Spatial Data ◽  
Information Technologies ◽  
Radio Channel ◽  
Continuous Functions ◽  
Interesting Property ◽  
Geographic Information ◽  
Fractal Image Compression ◽  
Image Encoding ◽  
Fractal Functions

The rapid growth of geographic information technologies in the field of processing and analysis of spatial data has led to a significant increase in the role of geographic information systems in various fields of human activity. However, solving complex problems requires the use of large amounts of spatial data, efficient storage of data on on-board recording media and their transmission via communication channels. This leads to the need to create new effective methods of compression and data transmission of remote sensing of the Earth. The possibility of using fractal functions for image processing, which were transmitted via the satellite radio channel of a spacecraft, is considered. The information obtained by such a system is presented in the form of aerospace images that need to be processed and analyzed in order to obtain information about the objects that are displayed. An algorithm for constructing image encoding–decoding using a class of continuous functions that depend on a finite set of parameters and have fractal properties is investigated. The mathematical model used in fractal image compression is called a system of iterative functions. The encoding process is time consuming because it performs a large number of transformations and mathematical calculations. However, due to this, a high degree of image compression is achieved. This class of functions has an interesting property—knowing the initial sets of numbers, we can easily calculate the value of the function, but when the values of the function are known, it is very difficult to return the initial set of values, because there are a huge number of such combinations. Therefore, in order to de-encode the image, it is necessary to know fractal codes that will help to restore the raster image.

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

Modelling the Ecological Vulnerability to Forest Fires in Mediterranean Ecosystems Using Geographic Information Technologies

2012 ◽  
Vol 50 (6) ◽  
pp. 1012-1026 ◽  
Author(s):  
Beatriz Duguy ◽  
José Antonio Alloza ◽  
M. Jaime Baeza ◽  
Juan De la Riva ◽  
Maite Echeverría ◽  
...  
Keyword(s):  
Forest Fires ◽  
Information Technologies ◽  
Mediterranean Ecosystems ◽  
Geographic Information ◽  
Geographic Information Technologies ◽  
Ecological Vulnerability

Urban Environmental Applications of GIScience

2013 ◽  
pp. 602-620 ◽  
Author(s):  
Buket Ayşegul Ozbakir
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Data ◽  
Information Science ◽  
Geographic Information ◽  
Urban Environments ◽  
Geographical Data ◽  
Technological Advances ◽  
Information Research ◽  
Computer Based

Geographic Information Systems (GIS) are computer-based systems used to store and manipulate geographical data, and perform spatial analysis. These systems serve to reveal the patterns, relationships, and anomalies, or sometimes invisible characteristics of the geographical data in various applications. While the term “GIS” indicates an object or tool, GIScience, the acronym for Geographic Information Science, covers a broader context of methodologies behind spatial data analysis. Among different application areas of GIS, “environmental monitoring and modeling” plays a significant role in the development of the very first GIS in the world-The Canada Geographic Information Systems (CGIS) in the mid-1960s. After almost 40 years of history, significant changes and challenges took place in the geographic information research agenda. This chapter will point out some of the vital tools and methods used in GIScience (including GIS, remote sensing and 3D modeling) to grasp issues of our urban environments. With recent technological advances that facilitate our understanding of the environment; it is more evident that the vision of more “livable” cities is not too far but not easy as well.

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