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.

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 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.

scholarly journals PROSPECTS FOR USING GEOINFORMATION TECHNOLOGIES IN UKRAIN AIRPORTS FOR ADMINISTRATIVE AND ECONOMIC MANAGEMENT

2020 ◽  
pp. 247-257
Author(s):  
Olena Boiko ◽  
Keyword(s):  
Artificial Intelligence ◽  
Information Technologies ◽  
Mixed Reality ◽  
Smart Cities ◽  
Geographic Information ◽  
Geospatial Data ◽  
Economic Management ◽  
Geographic Information Technologies ◽  
Cloud Technologies ◽  
The Internet Of Things

The urgency of the research. In recent years, world's airports are actively implementing cloud technologies for collecting, processing and visualizing geospatial data: laser and lidar scanning, integration of BIM / GIS models, the use of artificial intelligence, virtual and augmented reality technologies, digital duplicates and «smart» cities. For Ukraine, which is actively following the path of digitalization and implementation of modern geographic information technologies in many areas of ac-tivity, the development of new methods and approaches for administrative and economic management of airport complexes is a relevant and promising area. Target settings.This study examines the possibilities of modern geographic information and cloud technologies and pro-spects for their use for administrative and economic management of an airport. The study is related to the implementation of the State Target Program for Airport Development until 2023 and the Aviation Transport Strategy of Ukraine until 2030, which aims to develop the aviation industry in Ukraine, bringing airport infrastructure to the requirements of the European Union. The Law of Ukraine «On the National Infrastructure of Geospatial Data» and «Consolidated Concept of VIM Implementation in Ukraine» has a great influence on the formation of geospatial data of airports.Actual scientific researches and issues analysis. The paper analyzes and summarizes publications on methods of obtain-ing geospatial data, implementation of geographic information technologies, virtual, augmented and mixed reality technolo-gies, artificial intelligence and the concept of «smart» city for administrative and economic management of airports.Uninvestigated parts of general matters defining. Analysis of recent research and publications has shown that the pro-spects for the introduction of geographic information technology for administrative and economic asset management of Ukrain-ian airports need further research, as these issues are very important and relevant, given the rapid growth of digital society, environment and infrastructure.The research objective. The purpose of this study is to analyze the possibilities and prospects for the introduction of modern technologies for processing and visualization of geospatial data for administrative and economic management of the airport and the development of a conceptual model. The task of the research is to analyze the methods of obtaining geospatial data of the airport, the use of geographic information systems in airports, artificial intelligence technologies, virtual, aug-mented and mixed reality, the Internet of Things, digital duplicates, implementation of the concept of «smart» city, etc.The statement of basic materials. Geospatial data is created digitally using modern information and cloud technologies that offer a wide range of equipment, software, methods and technologies for working with geospatial information. Every year, new technologies that are used in the administrative and economic management of airports appear: cloud data acquisition methods, geographic information systems, artificial intelligence technologies, virtual reality, the Internet of Things, digital counterparts, «smart» cities, and more. Successful integration and use of existing capabilities for the collection, storage, pro-cessing and visualization of geospatial data of airports will ensure their effective management and economic growth.Conclusions. Based on the analysis of the possibilities of using virtual, augmented and mixed reality technologies, artifi-cial intelligence, digital duplicates and the concept of «smart» cities in airports,a conceptual model of prospects for using geospatial data of the airport to address administrative and economic management of the property complex was developed.

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 Spatial Data Lake for Smart Cities: From Design to Implementation

2020 ◽  
Vol 1 ◽  
pp. 1-15
Author(s):  
Rodrique Kafando ◽  
Rémy Decoupes ◽  
Lucile Sautot ◽  
Maguelonne Teisseire
Keyword(s):  
Remote Sensing ◽  
Spatial Data ◽  
Smart Cities ◽  
Real Data ◽  
Heterogeneous Data ◽  
Geographic Information ◽  
Sensor Data ◽  
Remote Sensing Images ◽  
Thematic Information ◽  
General Data

Abstract. In this paper, we propose a methodology for designing data lake dedicated to Spatial Data and an implementation of this specific framework. Inspired from previous proposals on general data lake Design and based on the Geographic information – Metadata normalization (ISO 19115), the contribution presented in this paper integrates, with the same philosophy, the spatial and thematic dimensions of heterogeneous data (remote sensing images, textual documents and sensor data, etc). To support our proposal, the process has been implemented in a real data project in collaboration with Montpellier Métropole Méditerranée (3M), a metropolis in the South of France. This framework offers a uniform management of the spatial and thematic information embedded in the elements of the data lake.

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

Towards a Rwandan NSDI

2013 ◽  
pp. 2040-2050
Author(s):  
Felicia O. Akinyemi
Keyword(s):  
Spatial Data ◽  
Information Technologies ◽  
Data Use ◽  
Data Access ◽  
Data Infrastructure ◽  
Geographic Information Technologies ◽  
Key Players ◽  
Data Policy ◽  
Governmental Institutions ◽  
Multi Stakeholder

Awareness of the importance of spatial data in achieving development strategies is high in Rwanda. Government and non-governmental institutions are aspiring to use Geographic Information Technologies (GITs) in their day-to-day activities. The non-existence of a National Spatial Data Infrastructure (NSDI) in Rwanda brings to light serious issues for consideration. Still lacking is a spatial data policy relating to spatial data use. A mechanism to ease spatial data access and sharing is imperative. This paper describes SDI related efforts in Rwanda in a bid to establish the NSDI. Employing a multi-stakeholder approach to drive the process is advocated. To support this, SDI models in some countries are presented that could be applicable to the Rwandan context. Key players with potential roles in the NSDI were identified.

Geographic information science III: GIScience, fast and slow – Why faster geographic information is not always smarter

2018 ◽  
Vol 44 (1) ◽  
pp. 129-138 ◽  
Author(s):  
Harvey J. Miller
Keyword(s):  
Real Time ◽  
Information Science ◽  
Smart Cities ◽  
Low Cost ◽  
Geographic Information ◽  
Unintended Consequences ◽  
Navigation Systems ◽  
Rebound Effects ◽  
Geographic Knowledge ◽  
Geographic Data

The growing maturity and deployment of low-cost georeferenced sensors, navigation systems, fast wireless communication, cyberinfrastructure and the Internet of Things (IoT) is accelerating the speed of geographic data flowing from the environment and our capabilities for reacting quickly to geographic information, often automatically and in real-time. This is leading to the rise of real-time GIS and smart cities technologies. While reacting quickly to changing circumstances has value, there are potentials for unintended consequences and rebound effects resulting from our inability to build geographic knowledge quickly and the selective acceleration of societal processes. This report discusses why these unintended outcomes may occur, and suggests technical and scientific approaches for understanding and managing the potential impacts of fast geographic data.

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