Advanced Technologies in Spatial Data Collection and Analysis

Dear Colleagues,

Over the past few years, a rapid development of new hard and software technologies, algorithms, and programming libraries for the collection and analysis of geographic data has taken place to provide state-of-the art solutions to current societal questions. Examples for such technologies are wearable devices for the collection of physiological data related to human emotions, GIS cloud computing, the integration of global satellite navigation systems (GNSS) into mobile devices, application portals for the collection and sharing of volunteered geographic information, social networking platforms, environmental monitoring networks, the Internet of Things (IoT) for building smart cities and intelligent transportation systems, real-time tracking systems for public transit vehicles, ridesharing systems, and artificial intelligence and deep learning for applications such as disaster monitoring or refugee movement pattern extraction. This Special Issue calls for research contributions presenting novel techniques, applications, sensors, devices, and technologies for the collection of spatial or spatiotemporal data, and effective processing of such data (including big data), through the development or use of new algorithms, software packages, or high-performance computing infrastructures. This Special Issue also welcomes discussions and reviews of previously underexplored open spatial data sets that are of relevance to the larger geoscience community to address research questions in different scientific fields. We invite contributions from a variety of academic disciplines, including geodesy, geo-information science, computer science, cartography, geography, transportation, environmental science, and health. This Special Issue is expected to foster awareness of research directions in other fields, understanding of methods applied by other disciplines, and collaboration between these research communities.

Dr. Hartwig H. Hochmair
Dr. Gerhard Navratil
Prof. Dr. Haosheng Huang
Guest Editors

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