Special Issue "Spatial Data Infrastructures"

A special issue of Infrastructures (ISSN 2412-3811).

Deadline for manuscript submissions: closed (29 February 2020) | Viewed by 4616

Special Issue Editors

Dr. Rubén Béjar
E-Mail Website
Guest Editor
Aragon Institute of Engineering Research, Universidad Zaragoza. c/María de Luna 1, 50018 Zaragoza, Spain
Interests: SDI architecture; SDI services; SDI applications; open and distributed systems; spatial data visualization
Dr. Francisco J. Lopez-Pellicer
E-Mail Website
Guest Editor
Advanced Information Systems laboratory (IAAA), Aragon Institute of Engineering Research (I3A), Universidad Zaragoza. c/María de Luna 1, 50018 Zaragoza, Spain
Interests: development of geospatial ontologies; vocabularies and gazetteers; discovery and indexing of geo Web resources; publication of geo information in the Web of Linked Data
Special Issues, Collections and Topics in MDPI journals
Dr. Kourosh Khoshelham
E-Mail Website
Guest Editor
Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC 3010, Australia
Interests: photogrammetry; 3D computer vision; remote sensing; machine learning; deep learning; automated interpretation of imagery and point clouds
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the last two decades, Spatial Data Infrastructures (SDIs) have evolved from concept to reality in most countries around the world. SDIs facilitate the discovery, and provide access to, spatial data and services through open, standardized interfaces and comprehensive metadata.

SDIs have witnessed the development of other approaches to provide access to spatial data and services on the Internet, such as web APIs and open spatial data initiatives. Beyond specific standards, technologies or licenses, SDIs and these initiatives share their infrastructural essence: they intend to provide support to the development of new spatial applications, services and systems on top of them. Because of this shared objective, interconnections among them are currently being proposed, planned, and developed.

In addition to this, the growth of cloud computing and big data, the success of new data sources, such as ubiquitous sensors or drones, the increasing importance of 3D and 4D spatial models, and the requirements of applications, such as smart environments and spatial intelligence systems, are contributing to shape the development of SDIs.

Infrastructures (https://www.mdpi.com/journal/infrastructures) is an international scholarly journal covering all aspects of infrastructure engineering, including information infrastructures. Topics for this Special Issue on “Spatial Data Infrastructures” include, but are not limited to:

SDI components; spatial data, metadata, and technologies:

  • Outdoor and indoor positioning.
  • Volunteered geographic information (VGI), crowdsourcing and citizen science.
  • Data sources: Remote sensing, surveys, UAVs, LiDAR, etc.
  • Open, linked data.
  • Sensor web, the Internet of Things and wearable devices.
  • SDIs in the cloud.
  • Geospatial metadata and ontologies.
  • Semantic web.
  • Integrating mapping and geospatial web APIs and SDIs.

SDI organization and initiatives; best practices, experience reports, and future plans:

  • National, regional and global SDI initiatives.
  • Thematic SDIs (scientific, environmental, agricultural, educational, etc.).
  • Connection to other infrastructures (transportation, energy, water, etc.).
  • SDI governance.
  • Privacy, security and legal issues.
  • SDI evolution and new opportunities.

Use of SDIs:

  • Location-based systems.
  • Smart environments (cities, territories, transportation systems, etc.)
  • Modeling (hazards, risks, economic, social, business, etc.)
  • Geospatial decision support systems and geo-intelligence.
  • Geospatial education.
  • E-Government and geospatial legislation.
  • Geospatial big data management and analytics.
  • 3D/4D Spatial data visualization and analytics.
  • Virtual, mixed and augmented reality applications.

Dr. Rubén Béjar
Dr. Francisco J. Lopez-Pellicer
Dr. Kourosh Khoshelham
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Infrastructures is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Spatial Data
  • Spatial Services
  • Geographic Information Systems
  • Information Infrastructures
  • Metadata

Published Papers (1 paper)

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Research

Article
Design of a Corporate SDI in Power Sector Using a Formal Model
Infrastructures 2017, 2(4), 18; https://doi.org/10.3390/infrastructures2040018 - 31 Oct 2017
Cited by 1 | Viewed by 4224
Abstract
Geospatial data are essential for the decision-making process. However, obtaining and keeping such data up to date usually require much time and many financial resources. In order to minimize the production costs and incentivize sharing these data, countries are promoting the implementation of [...] Read more.
Geospatial data are essential for the decision-making process. However, obtaining and keeping such data up to date usually require much time and many financial resources. In order to minimize the production costs and incentivize sharing these data, countries are promoting the implementation of Spatial Data Infrastructures (SDI) at the different public administration levels. The International Cartographic Association (ICA) proposes a formal model that describes the main concepts of an SDI based on three of the five viewpoints of the Reference Model for Open Distributed Processing (RM-ODP). Afterwards, researchers extended ICA’s model to describe, more properly, the actors, hierarchical relationship and interactions related to the policies that drive an SDI. However, the proposed extensions are semantically inconsistent with the original proposal. Moreover, the use of ICA’s formal model and its extensions has not been assessed yet to specify a corporate-level SDI. This study describes the merger of actors and policies proposed by the ICA and its extensions in order to eliminate differences in the semantics or terminology among them. This unified model was applied to specify a corporate SDI for a large Brazilian corporation, the Minas Gerais Power Company (Companhia Energética de Minas Gerais (Cemig)), which is comprised of about 200 companies in the power sector. The case study presents part of the specification of the five RM-ODP viewpoints, i.e., the three viewpoints featured in ICA’s formal model (Enterprise, Information, and Computation) and the other two viewpoints that make up the RM-ODP (Engineering and Technology). The adapted ICA’s model proved adequate to describe SDI-Cemig. In addition, the case study may serve as an example of the specification and implementation of new SDIs, not only corporate ones, but also of public agencies at any hierarchical level. Full article
(This article belongs to the Special Issue Spatial Data Infrastructures)
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