Special Issue "Web/Cloud Based Mapping and Geoinformation"

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

Deadline for manuscript submissions: closed (31 May 2017)

Special Issue Editors

Guest Editor
Prof. Bert Veenendaal

Department of Spatial Sciences, Curtin University, Perth, Australia
Website | E-Mail
Interests: geographic information science; geospatial web mapping and services; geospatial analysis and data handling; collaborative GIS; virtual/interactive e-learning
Guest Editor
Prof. Maria Antonia Brovelli

Department of Civil and Environmental Engineering, Politecnico di Milano, Italy
Website | E-Mail
Interests: geographic information science; geospatial web mapping and services; virtual globes; collaborative multidimensional platforms; VGI and geo-crowdsourcing; geo big data
Guest Editor
Prof. Serena Coetzee

Geography Building 3-5, Centre for Geoinformation Science, Department Geography, Geoinformatics and Meteorology, University of Pretoria, Private Bag X20, Hatfield, 0028, South Africa
Website | E-Mail
Phone: +27824644294
Fax: +27 12 420 6385
Interests: spatial data infrastructures; addressing; geographic information standards; geoprocessing; open source for geospatial software
Guest Editor
Dr. Peter Mooney

Department of Computer Science, Maynooth University, Maynooth, Ireland
Website | E-Mail
Interests: volunteered geographic information (VGI); citizen science; geospatial data mining and knowledge extraction; free and open source software for geomatics (FOSS4G)

Special Issue Information

Dear Colleagues,

Recent advances in the field of web- and cloud-based mapping and geoservices is increasing the demand for more, better, and smarter integrated geoinformation and knowledge to support a diversity of users and applications. Web mapping and web GIS have developed from a simple hyper-linked image, like the Xerox PARC map server, to a complex web of geospatial services and information feeding into online web maps and web GIS applications. The challenge is how to discover, integrate, manipulate and present this geoinformation at the appropriate level to users/applications in an environment that comprises GIS, mobile mapping, digital virtual globes, volunteered geographic information, sensor networks, etc.

As web- and cloud-based geoinformation and geoservices become easier to access by the global community of users, the increasing challenge is to focus the provision of information towards the context of users and applications. This means that we need to build on our knowledge and understanding of web and cloud based architectures, geoweb semantics and ontologies, geospatial analytics, big data parallel geoprocessing, multidimensional geovisualisation, collaborative virtual geospatial environments, dynamic contextualised behaviour, etc. The agenda is about providing the right information to the right people at the right time for the right decision.

Prof. Bert Veenendaal
Prof. Maria Antonia Brovelli
Dr. Serena Coetzee
Dr. Peter Mooney
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 papers will be 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 900 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

  • cloud- and web-based multidimensional GIS
  • neogeography and map mashups; new cartographic theories and interfaces for web mapping
  • quality assessment of web-based geospatial information sources, processes and applications
  • design, development and evaluation of web and cloud based architectures, services and applications
  • development and use of virtual globes for geospatial data sharing, integration, visualization and analysis
  • mobile and location-based search and services; adaptive, context-aware, multidimensional, augmented reality
  • web/cloud-based SDSS, PPGIS, Geo-design and collaborative environments
  • web visualisation/assessment/analysis of user generated content
  • open source solutions and open standards/specifications
  • web-based geovisualisation and virtual geospatial environments for dynamics phenomena
  • security, privacy, copyright, use policy and usability for geospatial web
  • geospatial web semantics and ontology; intelligent web mapping/GIS services
  • web mapping/GIS for education
  • service chaining, streaming and web based geoprocessing workflows
  • web/cloud based geospatial data discovery, access and utilization
  • web/cloud based geospatial database management

Published Papers (10 papers)

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Research

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Open AccessArticle A Novel Approach for Publishing Linked Open Geodata from National Registries with the Use of Semantically Annotated Context Dependent Web Pages
ISPRS Int. J. Geo-Inf. 2017, 6(8), 252; doi:10.3390/ijgi6080252
Received: 31 May 2017 / Revised: 6 August 2017 / Accepted: 10 August 2017 / Published: 15 August 2017
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Abstract
Many of the standards used to build spatial data infrastructure (SDI), such as Web Map Service (WMS) or Web Feature Service (WFS), have become outdated. They do not follow current web technology development and do not fully exploit its capabilities. Spatial data often
[...] Read more.
Many of the standards used to build spatial data infrastructure (SDI), such as Web Map Service (WMS) or Web Feature Service (WFS), have become outdated. They do not follow current web technology development and do not fully exploit its capabilities. Spatial data often remains available only through application programming interfaces (APIs), reflecting the persistence of organizational silos. The potential of the web for discovering knowledge hidden in data and discoverable through integration and fusion remains very difficult. This article presents a strategy to take advantage of these newer semantic web technologies for SDI. We describe the implementation of a public registry in the age of Web 3.0. Our goal is to convert existing geographic information systems (GIS) data into explicit knowledge that can be easily used for a variety of purposes. This turns SDI into a framework to utilize the many advantages of the web. In this paper we present the working prototype system developed for the province of Mazowieckie in Poland and describes the underlying concepts. Further development of this approach comes from using linked data (LD) with expert systems to support analysis functions and tasks. Full article
(This article belongs to the Special Issue Web/Cloud Based Mapping and Geoinformation)
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Open AccessArticle Spatial Context from Open and Online Processing (SCOOP): Geographic, Temporal, and Thematic Analysis of Online Information Sources
ISPRS Int. J. Geo-Inf. 2017, 6(7), 193; doi:10.3390/ijgi6070193
Received: 16 May 2017 / Revised: 9 June 2017 / Accepted: 22 June 2017 / Published: 26 June 2017
PDF Full-text (6725 KB) | HTML Full-text | XML Full-text
Abstract
The Internet is increasingly a source of data for geographic information systems, as more data becomes linked, available through application programing interfaces (APIs), and more tools become available for handling unstructured web data. While many web data extraction and structuring methods exist, there
[...] Read more.
The Internet is increasingly a source of data for geographic information systems, as more data becomes linked, available through application programing interfaces (APIs), and more tools become available for handling unstructured web data. While many web data extraction and structuring methods exist, there are few examples of comprehensive data processing and analysis systems that link together these tools for geographic analyses. This paper develops a general approach to the development of spatial information context from unstructured and informal web data sources through the joint analysis of the data’s thematic, spatial, and temporal properties. We explore the utility of this derived contextual information through a case study into maritime surveillance. Extraction and processing techniques such as toponym extraction, disambiguation, and temporal information extraction methods are used to construct a semi-structured maritime context database supporting global scale analysis. Geographic, temporal, and thematic content were analyzed, extracted and processed from a list of information sources. A geoweb interface is developed to allow user visualization of extracted information, as well as to support space-time database queries. Joint keyword clustering and spatial clustering methods are used to demonstrate extraction of documents that relate to real world events in official vessel information data. The quality of contextual geospatial information sources is evaluated in reference to known maritime anomalies obtained from authoritative sources. The feasibility of automated context extraction using the proposed framework and linkage to external data using standard clustering tools is demonstrated. Full article
(This article belongs to the Special Issue Web/Cloud Based Mapping and Geoinformation)
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Open AccessArticle Cloud-Based Architectures for Auto-Scalable Web Geoportals towards the Cloudification of the GeoVITe Swiss Academic Geoportal
ISPRS Int. J. Geo-Inf. 2017, 6(7), 192; doi:10.3390/ijgi6070192
Received: 30 May 2017 / Revised: 21 June 2017 / Accepted: 22 June 2017 / Published: 25 June 2017
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Abstract
Cloud computing has redefined the way in which Spatial Data Infrastructures (SDI) and Web geoportals are designed, managed, and maintained. The cloudification of a geoportal represents the migration of a full-stack geoportal application to an internet-based private or public cloud. This work introduces
[...] Read more.
Cloud computing has redefined the way in which Spatial Data Infrastructures (SDI) and Web geoportals are designed, managed, and maintained. The cloudification of a geoportal represents the migration of a full-stack geoportal application to an internet-based private or public cloud. This work introduces two generic and open cloud-based architectures for auto-scalable Web geoportals, illustrated with the use case of the cloudification efforts of the Swiss academic geoportal GeoVITe. The presented cloud-based architectural designs for auto-scalable Web geoportals consider the most important functional and non-functional requirements and are adapted to both public and private clouds. The availability of such generic cloud-based architectures advances the cloudification of academic SDIs and geoportals. Full article
(This article belongs to the Special Issue Web/Cloud Based Mapping and Geoinformation)
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Open AccessArticle A Web-Based Visual and Analytical Geographical Information System for Oil and Gas Data
ISPRS Int. J. Geo-Inf. 2017, 6(3), 76; doi:10.3390/ijgi6030076
Received: 8 November 2016 / Revised: 1 March 2017 / Accepted: 3 March 2017 / Published: 9 March 2017
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Abstract
With the development of strategic oil and gas assets, massive spatiotemporal oil and gas data have been accumulated. Application systems that assist in the storage and management of the voluminous and complex oil and gas datasets are in high demand. The voluminous and
[...] Read more.
With the development of strategic oil and gas assets, massive spatiotemporal oil and gas data have been accumulated. Application systems that assist in the storage and management of the voluminous and complex oil and gas datasets are in high demand. The voluminous and various data should be leveraged and turned into information for business decision-making and operation assistance. In this paper, we propose a set of visual analytic methods that specialize in oil and gas data; and, we develop a web-based oil and gas data management, visualization and analytical system, called Oil and Gas Visual Exploration System (OGVES). With OGVES, complex and multi-sourced oil and gas data can be stored, searched, filtered, and represented. As a web-based system, the OGVES provides more accessibility, convenience and efficiency than traditional desktop systems. Spatial scales and temporal primitives contained in oil and gas data are discussed. Different visualization methods are then presented to explore and represent spatiotemporal features of the oil and gas data. Various case studies demonstrate the usability of the system. Full article
(This article belongs to the Special Issue Web/Cloud Based Mapping and Geoinformation)
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Open AccessArticle An Effective NoSQL-Based Vector Map Tile Management Approach
ISPRS Int. J. Geo-Inf. 2016, 5(11), 215; doi:10.3390/ijgi5110215
Received: 15 August 2016 / Revised: 4 November 2016 / Accepted: 5 November 2016 / Published: 12 November 2016
Cited by 2 | PDF Full-text (5989 KB) | HTML Full-text | XML Full-text
Abstract
Within a digital map service environment, the rapid growth of Spatial Big-Data is driving new requirements for effective mechanisms for massive online vector map tile processing. The emergence of Not Only SQL (NoSQL) databases has resulted in a new data storage and management
[...] Read more.
Within a digital map service environment, the rapid growth of Spatial Big-Data is driving new requirements for effective mechanisms for massive online vector map tile processing. The emergence of Not Only SQL (NoSQL) databases has resulted in a new data storage and management model for scalable spatial data deployments and fast tracking. They better suit the scenario of high-volume, low-latency network map services than traditional standalone high-performance computer (HPC) or relational databases. In this paper, we propose a flexible storage framework that provides feasible methods for tiled map data parallel clipping and retrieval operations within a distributed NoSQL database environment. We illustrate the parallel vector tile generation and querying algorithms with the MapReduce programming model. Three different processing approaches, including local caching, distributed file storage, and the NoSQL-based method, are compared by analyzing the concurrent load and calculation time. An online geological vector tile map service prototype was developed to embed our processing framework in the China Geological Survey Information Grid. Experimental results show that our NoSQL-based parallel tile management framework can support applications that process huge volumes of vector tile data and improve performance of the tiled map service. Full article
(This article belongs to the Special Issue Web/Cloud Based Mapping and Geoinformation)
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Open AccessArticle Generating Orthorectified Multi-Perspective 2.5D Maps to Facilitate Web GIS-Based Visualization and Exploitation of Massive 3D City Models
ISPRS Int. J. Geo-Inf. 2016, 5(11), 212; doi:10.3390/ijgi5110212
Received: 5 August 2016 / Revised: 4 November 2016 / Accepted: 7 November 2016 / Published: 11 November 2016
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Abstract
2.5D map is a convenient and efficient approach to exploiting a massive three-dimensional (3D) city model in web GIS. With the rapid development of oblique airborne photogrammetry and photo-based 3D reconstruction, 3D city models are becoming more and more accessible. 3D Geographic Information
[...] Read more.
2.5D map is a convenient and efficient approach to exploiting a massive three-dimensional (3D) city model in web GIS. With the rapid development of oblique airborne photogrammetry and photo-based 3D reconstruction, 3D city models are becoming more and more accessible. 3D Geographic Information System (GIS) can support the interactive visualization of massive 3D city models on various platforms and devices. However, the value and accessibility of existing 3D city models can be augmented by integrating them into web-based two-dimensional (2D) GIS applications. In this paper, we present a step-by-step workflow for generating orthorectified oblique images (2.5D maps) from massive 3D city models. The proposed framework can produce 2.5D maps from an arbitrary perspective, defined by the elevation angle and azimuth angle of a virtual orthographic camera. We demonstrate how 2.5D maps can benefit web-based visualization and exploitation of massive 3D city models. We conclude that a 2.5D map is a compact data representation optimized for web data streaming of 3D city models and that geometric analysis of buildings can be effectively conducted on 2.5D maps. Full article
(This article belongs to the Special Issue Web/Cloud Based Mapping and Geoinformation)
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Open AccessArticle Design and Implementation of a Robust Decision Support System for Marine Space Resource Utilization
ISPRS Int. J. Geo-Inf. 2016, 5(8), 140; doi:10.3390/ijgi5080140
Received: 12 May 2016 / Revised: 24 July 2016 / Accepted: 1 August 2016 / Published: 8 August 2016
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Abstract
Increasing coastal space resource utilization (CSRU) activities and their impact on coastal environments has been recognized as a critical coastal zone stressor. Consequently, the need for sustainable and valid CSRU management has been highlighted. In this study, a highly-intelligent prototype decision-aided system for
[...] Read more.
Increasing coastal space resource utilization (CSRU) activities and their impact on coastal environments has been recognized as a critical coastal zone stressor. Consequently, the need for sustainable and valid CSRU management has been highlighted. In this study, a highly-intelligent prototype decision-aided system for CSRU was developed. In contrast with existing coastal decision-aided systems, this system is aimed at the management of CSRU, providing reliable and dynamic numerical simulation, analysis, and aided decision making for real coastal engineering based on a self-developed fully automatic numerical program. It was established on multi-tier distributed architecture based on Java EE. The most efficient strategies for spatial data organization, automatic coastal numerical programs, and impact assessment modules are demonstrated. In addition, its integrated construction involving the addition of a new coastal project on the webpage, its one-click numerical prediction of coastal environmental impacts, assessments based on numerical results, and its aided decision-making capabilities are addressed. The system was applied to Ningbo Sea, China, establishing the Ningbo CSRU Decision Support System. Two projects were demonstrated: one reclamation project and one land-based outlet planning case. Results indicated that these projects had detrimental effects on local coastal environments. Therefore, the approvals of these projects were not recommended. Full article
(This article belongs to the Special Issue Web/Cloud Based Mapping and Geoinformation)
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Open AccessArticle A Cloud Computing-Enabled Spatio-Temporal Cyber-Physical Information Infrastructure for Efficient Soil Moisture Monitoring
ISPRS Int. J. Geo-Inf. 2016, 5(6), 81; doi:10.3390/ijgi5060081
Received: 25 March 2016 / Revised: 16 May 2016 / Accepted: 23 May 2016 / Published: 2 June 2016
Cited by 3 | PDF Full-text (5906 KB) | HTML Full-text | XML Full-text
Abstract
Comprehensive surface soil moisture (SM) monitoring is a vital task in precision agriculture applications. SM monitoring includes remote sensing imagery monitoring and in situ sensor-based observational monitoring. Cloud computing can increase computational efficiency enormously. A geographical web service was developed to assist in
[...] Read more.
Comprehensive surface soil moisture (SM) monitoring is a vital task in precision agriculture applications. SM monitoring includes remote sensing imagery monitoring and in situ sensor-based observational monitoring. Cloud computing can increase computational efficiency enormously. A geographical web service was developed to assist in agronomic decision making, and this tool can be scaled to any location and crop. By integrating cloud computing and the web service-enabled information infrastructure, this study uses the cloud computing-enabled spatio-temporal cyber-physical infrastructure (CESCI) to provide an efficient solution for soil moisture monitoring in precision agriculture. On the server side of CESCI, diverse Open Geospatial Consortium web services work closely with each other. Hubei Province, located on the Jianghan Plain in central China, is selected as the remote sensing study area in the experiment. The Baoxie scientific experimental field in Wuhan City is selected as the in situ sensor study area. The results show that the proposed method enhances the efficiency of remote sensing imagery mapping and in situ soil moisture interpolation. In addition, the proposed method is compared to other existing precision agriculture infrastructures. In this comparison, the proposed infrastructure performs soil moisture mapping in Hubei Province in 1.4 min and near real-time in situ soil moisture interpolation in an efficient manner. Moreover, an enhanced performance monitoring method can help to reduce costs in precision agriculture monitoring, as well as increasing agricultural productivity and farmers’ net-income. Full article
(This article belongs to the Special Issue Web/Cloud Based Mapping and Geoinformation)
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Review

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Open AccessFeature PaperReview Review of Web Mapping: Eras, Trends and Directions
ISPRS Int. J. Geo-Inf. 2017, 6(10), 317; doi:10.3390/ijgi6100317
Received: 28 July 2017 / Revised: 29 September 2017 / Accepted: 16 October 2017 / Published: 21 October 2017
PDF Full-text (3839 KB) | HTML Full-text | XML Full-text
Abstract
Web mapping and the use of geospatial information online have evolved rapidly over the past few decades. Almost everyone in the world uses mapping information, whether or not one realizes it. Almost every mobile phone now has location services and every event and
[...] Read more.
Web mapping and the use of geospatial information online have evolved rapidly over the past few decades. Almost everyone in the world uses mapping information, whether or not one realizes it. Almost every mobile phone now has location services and every event and object on the earth has a location. The use of this geospatial location data has expanded rapidly, thanks to the development of the Internet. Huge volumes of geospatial data are available and daily being captured online, and are used in web applications and maps for viewing, analysis, modeling and simulation. This paper reviews the developments of web mapping from the first static online map images to the current highly interactive, multi-sourced web mapping services that have been increasingly moved to cloud computing platforms. The whole environment of web mapping captures the integration and interaction between three components found online, namely, geospatial information, people and functionality. In this paper, the trends and interactions among these components are identified and reviewed in relation to the technology developments. The review then concludes by exploring some of the opportunities and directions. Full article
(This article belongs to the Special Issue Web/Cloud Based Mapping and Geoinformation)
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Other

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Open AccessProject Report One-Page Multimedia Interactive Map
ISPRS Int. J. Geo-Inf. 2017, 6(2), 34; doi:10.3390/ijgi6020034
Received: 27 September 2016 / Revised: 16 January 2017 / Accepted: 18 January 2017 / Published: 24 January 2017
PDF Full-text (11047 KB) | HTML Full-text | XML Full-text
Abstract
The relevance of local knowledge in cultural heritage is by now acknowledged. It helps to determine many community-based projects by identifying the material to be digitally maintained in multimedia collections provided by communities of volunteers, rather than for-profit businesses or government entities. Considering
[...] Read more.
The relevance of local knowledge in cultural heritage is by now acknowledged. It helps to determine many community-based projects by identifying the material to be digitally maintained in multimedia collections provided by communities of volunteers, rather than for-profit businesses or government entities. Considering that the search and browsing of texts, images, video, and 3D models related to places is more essential than using a simple text-based search, an interactive multimedia map was implemented in this study. The map, which is loaded on a single HyperText Markup Language (HTML) page using AJAX (Asynchronous JavaScript and XML), with a client-side control mechanism utilising jQuery components that are both freely available and ad-hoc developed, is updated according to user interaction. To simplify the publication of geo-referenced information, the application stores all the data in a Geographic JavaScript Object Notation (GeoJSON) file rather than in a database. The multimedia contents—associated with the selected Points of Interest (PoIs)—can be selected through text search and list browsing as well as by viewing their previews one by one in a sequence all together in a scrolling window (respectively: “Table”, “Folder”, and “Tile” functions). PoIs—visualised on the map with multi-shape markers using a set of unambiguous colours—can be filtered through their categories and types, accessibility status and timeline, thus improving the system usability. The map functions are illustrated using data collected in a Comenius project. Notes on the application software and architecture are also presented in this paper. Full article
(This article belongs to the Special Issue Web/Cloud Based Mapping and Geoinformation)
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