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IJGI
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Geospatial Open Systems
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Geospatial Open Systems

A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 21296

Special Issue Editors

Prof. Timothy Nyerges

E-Mail Website
Guest Editor
Department of Geography, University of Washington, Box 353550, Seattle, WA 98195, USA
Interests: spatial decision support; participatory; resilience; sustainability; geodesign; systems design; open systems development; coastal; urban–regional
Prof. Dr. Piotr Jankowski

E-Mail Website
Guest Editor
Department of Geography, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-4493, USA
Interests: geographic information science; urban land use planning; spatial decision support systems; participatory mapping; geodiversity
Prof. Dr. Wenwen Li

E-Mail Website
Guest Editor
School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ 85287-5302, USA
Interests: cyberinfrastructure; GeoAI; data science; semantic interoperability
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Chaowei Yang

E-Mail Website
Guest Editor
NSF Spatiotemporal Innovation Center, Department of Geography & GeoInformation Science, George Mason University, Fairfax, VA 22030-4444, USA
Interests: spatiotemporal intelligence; big earth data; spatial cloud computing; ML & DL for geosciences; knowledge base and applications; spatiotemporal computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

This Special Issue intends to synergize insight about the state of knowledge of open systems scoping, design, implementation, deployment, use, and sustainability for geo-information (geospatial) applications. Manuscripts that broaden and/or deepen insight into these topics are candidates for the Special Issue. 

Scope: Open systems provide free access to geo-data and geo-information in a variety of geospatial domains, such as environmental science and management, human dynamics, transportation planning and management, geo-information crowdsourcing, community organizing, and geosciences, among others. Open systems enable access for almost everyone, barring any illegal activity. Open systems might or might not use open source software as part of the development efforts. Open knowledge systems now in development for various applications promise to transform how people make use of data, information, evidence, and knowledge. The Special Issue explores the past, present, and future of open systems environments addressing data, information, and knowledge for geospatial applications. Any aspect of open geospatial data, information, knowledge, and software systems is a relevant topic as long as the topic is well reasoned and developed in a thorough manner in line with IJGI guidelines. Prospects for development and use of geospatial open source software are relevant for consideration. Software applications addressing these topics are also part of the scope, but the issue is not limited to these topics. 

Prof. Timothy Nyerges
Prof. Piotr Jankowski
Prof. Wenwen Li
Prof. Chaowei Yang
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. ISPRS International Journal of Geo-Information 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 1700 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

● Open knowledge network
● Geospatial open source software
● Geospatial data and knowledge systems
● Open systems development—scoping, design, and implementation
● Participatory needs elicitation
● Crowd-sourced approaches to data, information and knowledge
● Architecture design
● Ontology and knowledge graph
● Cyberinfrastructure
● GeoAI (geospatial artificial intelligence)
● Online open applications
● Open systems application prototyping
● Open workflow processes
● Human-centered spatial decision support
● Smart cities, countries, and Earth
● Public-cloud-based geoinformation systems

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Published Papers (5 papers)

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Research

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23 pages, 871 KiB  
Article
People, Projects, Organizations, and Products: Designing a Knowledge Graph to Support Multi-Stakeholder Environmental Planning and Design
by Sean N. Gordon, Philip J. Murphy, John A. Gallo, Patrick Huber, Allan Hollander, Ann Edwards and Piotr Jankowski
ISPRS Int. J. Geo-Inf. 2021, 10(12), 823; https://doi.org/10.3390/ijgi10120823 - 6 Dec 2021
Cited by 10 | Viewed by 4030
Abstract
As the need for more broad-scale solutions to environmental problems is increasingly recognized, traditional hierarchical, government-led models of coordination are being supplemented by or transformed into more collaborative inter-organizational networks (i.e., collaboratives, coalitions, partnerships). As diffuse networks, such regional environmental planning and design [...] Read more.
As the need for more broad-scale solutions to environmental problems is increasingly recognized, traditional hierarchical, government-led models of coordination are being supplemented by or transformed into more collaborative inter-organizational networks (i.e., collaboratives, coalitions, partnerships). As diffuse networks, such regional environmental planning and design (REPD) efforts often face challenges in sharing and using spatial and other types of information. Recent advances in semantic knowledge management technologies, such as knowledge graphs, have the potential to address these challenges. In this paper, we first describe the information needs of three multi-stakeholder REPD initiatives in the western USA using a list of 80 need-to-know questions and concerns. The top needs expressed were for help in tracking the participants, institutions, and information products relevant to the REDP’s focus. To address these needs, we developed a prototype knowledge graph based on RDF and GeoSPARQL standards. This semantic approach provided a more flexible data structure than traditional relational databases and also functionality to query information across different providers; however, the lack of semantic data expertise, the complexity of existing software solutions, and limited online hosting options are significant barriers to adoption. These same barriers are more acute for geospatial data, which also faces the added challenge of maintaining and synchronizing both semantic and traditional geospatial datastores. Full article
(This article belongs to the Special Issue Geospatial Open Systems)
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23 pages, 3749 KiB  
Article
User-Centred Design of Multidisciplinary Spatial Data Platforms for Human-History Research
by Meeli Roose, Tua Nylén, Harri Tolvanen and Outi Vesakoski
ISPRS Int. J. Geo-Inf. 2021, 10(7), 467; https://doi.org/10.3390/ijgi10070467 - 8 Jul 2021
Cited by 6 | Viewed by 4810
Abstract
The role of open spatial data is growing in human-history research. Spatiality can be utilized to bring together and seamlessly examine data describing multiple aspects of human beings and their environment. Web-based spatial data platforms can create equal opportunities to view and access [...] Read more.
The role of open spatial data is growing in human-history research. Spatiality can be utilized to bring together and seamlessly examine data describing multiple aspects of human beings and their environment. Web-based spatial data platforms can create equal opportunities to view and access these data. In this paper, we aim at advancing the development of user-friendly spatial data platforms for multidisciplinary research. We conceptualize the building process of such a platform by systematically reviewing a diverse sample of historical spatial data platforms and by piloting a user-centered design process of a multidisciplinary spatial data platform. We outline (1) the expertise needed in organizing multidisciplinary spatial data sharing, (2) data types that platforms should be able to handle, (3) the most useful platform functionalities, and (4) the design process itself. We recommend that the initiative and subject expertise should come from the end-users, i.e., scholars of human history, and all key end-user types should be involved in the design process. We also highlight the importance of geographic expertise in the process, an important link between subject, spatial and technical viewpoints, for reaching a common understanding and common terminology. Based on the analyses, we identify key development goals for spatial data platforms, including full layer management functionalities. Moreover, we identify the main roles in the user-centered design process, main user types and suggest good practices including a multimodal design workshop. Full article
(This article belongs to the Special Issue Geospatial Open Systems)
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16 pages, 4030 KiB  
Article
Geodiversity Assessment with Crowdsourced Data and Spatial Multicriteria Analysis
by Piotr Jankowski, Alicja Najwer, Zbigniew Zwoliński and Jacek Niesterowicz
ISPRS Int. J. Geo-Inf. 2020, 9(12), 716; https://doi.org/10.3390/ijgi9120716 - 2 Dec 2020
Cited by 30 | Viewed by 4116
Abstract
This paper presents an approach to geodiversity assessment based on spatial multicriteria analysis. Instead of relying solely on weighted linear combination (WLC) for aggregating factor ratings and weights to compute a synthetic measure of geodiversity, the approach employs WLC in concert with its [...] Read more.
This paper presents an approach to geodiversity assessment based on spatial multicriteria analysis. Instead of relying solely on weighted linear combination (WLC) for aggregating factor ratings and weights to compute a synthetic measure of geodiversity, the approach employs WLC in concert with its local version called L-WLC to provide a more comprehensive assessment approach. As part of the approach, the assessment input data comprised of geodiversity factor ratings and weights were obtained through crowdsourcing. A geoinformation crowdsourcing tool called the geo-questionnaire was used to obtain data from 57 Earth science researchers worldwide. These data served as the bases for a group assessment of geodiversity. The reliability of assessment was evaluated by means of spatially explicit uncertainty analysis. The results showed the efficacy of local spatial multicriteria analysis techniques (L-WLC) used in concert with a global technique (WLC) on the example of geodiversity assessment for Karkonosze National Park in southwestern Poland. Full article
(This article belongs to the Special Issue Geospatial Open Systems)
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19 pages, 5580 KiB  
Article
UrbanWater: Integrating EPANET 2 in a PostgreSQL/PostGIS-Based Geospatial Database Management System
by Nuno Martinho, José-Paulo de Almeida, Nuno E. Simões and Alfeu Sá-Marques
ISPRS Int. J. Geo-Inf. 2020, 9(11), 613; https://doi.org/10.3390/ijgi9110613 - 22 Oct 2020
Cited by 2 | Viewed by 3600
Abstract
Incorporating data stored in a geographical information system (GIS) within the development of hydraulic simulation models is crucial for operating, updating, and hence redesigning water supply systems (WSS). Building and updating hydraulic models can be both time and resource consuming; moreover, the need [...] Read more.
Incorporating data stored in a geographical information system (GIS) within the development of hydraulic simulation models is crucial for operating, updating, and hence redesigning water supply systems (WSS). Building and updating hydraulic models can be both time and resource consuming; moreover, the need to update infrastructure cadastral information makes the model itself outdated. In addition, typical dispersion of data across several databases requires extra effort to maintain the whole system and ensure it is properly assembled. Albeit there are some GIS-based hydraulic modelling solutions available, they typically use external connections to assemble all components resulting in additional costs and less flexibility. In order to be able to establish a single fully integrated data model towards global characterization of a WSS and associate hydraulic simulation, this paper proposes the specific implementation of an EPANET 2 model in PostgreSQL along with PostGIS extension. The system developed enables the construction of the model, hydraulic simulation, and storage of results within a single database. Required procedures and functions were coded either in pgSQL or Python and their execution were carried out using SQL statements. Finally, a case study was selected in order to test the system proposed. Results show that an integrated approach indeed allows the expedited creation of more realistic hydraulic models based on the stored cadastral information. Full article
(This article belongs to the Special Issue Geospatial Open Systems)
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Review

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33 pages, 651 KiB  
Review
Synthesizing Vulnerability, Risk, Resilience, and Sustainability into VRRSability for Improving Geoinformation Decision Support Evaluations
by Timothy Nyerges, John A. Gallo, Steven D. Prager, Keith M. Reynolds, Philip J. Murphy and WenWen Li
ISPRS Int. J. Geo-Inf. 2021, 10(3), 179; https://doi.org/10.3390/ijgi10030179 - 18 Mar 2021
Cited by 2 | Viewed by 3432
Abstract
This paper synthesizes vulnerability, risk, resilience, and sustainability (VRRS) in a way that can be used for decision evaluations about sustainable systems, whether such systems are called coupled natural–human systems, social–ecological systems, coupled human–environment systems, and/or hazards influencing global environmental change, all considered [...] Read more.
This paper synthesizes vulnerability, risk, resilience, and sustainability (VRRS) in a way that can be used for decision evaluations about sustainable systems, whether such systems are called coupled natural–human systems, social–ecological systems, coupled human–environment systems, and/or hazards influencing global environmental change, all considered geospatial open systems. Evaluations of V-R-R-S as separate concepts for complex decision problems are important, but more insightful when synthesized for improving integrated decision priorities based on trade-offs of V-R-R-S objectives. A synthesis concept, called VRRSability, provides an overarching perspective that elucidates Tier 2 of a previously developed four-tier framework for organizing measurement-informed ontology and epistemology for sustainability information representation (MOESIR). The new synthesis deepens the MOESIR framework to address VRRSability information representation and clarifies the Tier 2 layer of abstraction. This VRRSability synthesis, composed of 13 components (several with sub-components), offers a controlled vocabulary as the basis of a conceptual framework for organizing workflow assessment and intervention strategies as part of geoinformation decision support software. Researchers, practitioners, and machine learning algorithms can use the vocabulary results for characterizing functional performance relationships between elements of geospatial open systems and the computing technology systems used for evaluating them within a context of complex sustainable systems. Full article
(This article belongs to the Special Issue Geospatial Open Systems)
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