Madden, Marguerite and Vacca, Giuseppina and Paudyal, Dev Raj ORCID: https://orcid.org/0000-0003-1010-2118 and Wang, Mingshu
(2018)
ISPRS International Journal of Geo-Information: Geospatial Applications of the Internet of Things (IoT) [Special Issue].
MDPIAG, Switzerland.
Abstract
Information and communication technologies (ICT), mobile devices location-aware sensors have triggered a new paradigm of the Internet of Things (IoT). A decade ago, the number of devices on the Internet exceeded the number of people on the planet, and, in 2008, the U.S. National Intelligence Council projected that IoT would be one of six disruptive civil technologies—as in 'by 2025 Internet nodes might reside in everyday things – food packages, furniture, paper documents, and more'. More recently, the proliferation of low-cost sensors, reduced costs of cloud-computing resources and increasing accessibility of artificial intelligence (AI) and open-source machine learning platforms, have combined to propel advancements and applications of IoT and GIScience. Working Group 6 of the ISPRS Commission IV (WG IV/6), 'Internet of Things, SDI and Spatial Decision Support', proposes this Special Issue of the ISPRS International Journal of Geo-Information, entitled, 'Geospatial Applications of the Internet of Things' to exchange the latest developments in IoT, SDI and spatial decision support systems. With foci of innovative geospatial applications of the IoT, we encourage submissions from perspectives of the thing (e.g., the state-of-art in sensors network and integration), the semantic (e.g., representing, storing, sharing, interconnecting, searching, and organizing (geo)information generated by the IoT), and the solutions (e.g., smart and connected communities, ecological and agricultural applications, etc.). We encourage contributions on (but not limited to) the following themes:
Theories, frameworks, and paradigms of geospatial applications of the IoT
Advancements in sensor networks and integration for geospatial applications
Geoinformation search, retrieval, sharing and representation from IoT, including multi-level spatial data infrastructure and web services
Spatial decision support systems with IoT
AI and machine learning with IoT
IoT, Big Data and Analytics: Challenges, solutions and potential
Geospatial applications of IoT in urban, ecological, health, business and agricultural systems
Geospatial education and capacity building efforts with IoT
Ethical and privacy considerations of IoT
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Item Type: | Book (Commonwealth Reporting Category A) |
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Refereed: | Yes |
Item Status: | Live Archive |
Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021) |
Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021) |
Date Deposited: | 18 Aug 2020 04:45 |
Last Modified: | 01 Sep 2021 04:46 |
Uncontrolled Keywords: | Internet of Things (IoT); geospatial applications; geospatial education; sensor networks; geoinformation; multi-level spatial data infrastructure; spatial decision support systems; artificial intelligence (AI); machine learning; Big Data; big data analytics; ethics; privacy |
Fields of Research (2008): | 09 Engineering > 0909 Geomatic Engineering > 090906 Surveying (incl. Hydrographic Surveying) 09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems 08 Information and Computing Sciences > 0806 Information Systems > 080699 Information Systems not elsewhere classified |
Fields of Research (2020): | 40 ENGINEERING > 4013 Geomatic engineering > 401306 Surveying (incl. hydrographic surveying) 40 ENGINEERING > 4013 Geomatic engineering > 401302 Geospatial information systems and geospatial data modelling 46 INFORMATION AND COMPUTING SCIENCES > 4609 Information systems > 460999 Information systems not elsewhere classified |
Socio-Economic Objectives (2008): | E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering |
URI: | http://eprints.usq.edu.au/id/eprint/38143 |
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