Authors: Chaowei Yang*, George Mason University
Topics: Geographic Information Science and Systems, Cyberinfrastructure, Spatial Analysis & Modeling
Keywords: GeoAI, Geospatial Cyberinfrastructure/CyberGIS, Human Dynamics, GIS
Session Type: Paper
Presentation File: No File Uploaded
Innovations have emerged in the past two decades in an ever-faster speed: a variety types of sensing capabilities keep producing big spatiotemporal data. The cloud computing, GPU, FGPA and other (future quantum) computing modes provide sufficient processing power for the big spatiotemporal data. Many interdisciplinary researches provide new opportunities for new research directions and innovations. The artificial intelligence is revived after two decades of funding winter driven by the available big data, enough computing power, and new algorithms/thinking developed. At the core of geography, spatiotemporal (the integration of time and space) is powering the research on human dynamics, urbanization, population, climate change, natural hazards and many others. New tools and theories are demanded to provide support for such integrative analyses. Based on the past decade research and development, we propose the New Generation of GIS after the first three stages of emerging, mature, and internet based. The New Generation GIS converged from the innovations to embrace the disruptive changes in the life cycle of GIS from data collection, data management, data processing, application modeling, to the stakeholders. The current core to such a generation is the spatiotemporal computing, spatiotemporal intelligence and spatiotemporal big data rely on relevant domains such as geography, computer science, mathematics, IoT, and cartography/geovisualization. We expect this innovation process to take an evolutionary process in the next decade with an eventual success of GIS getting into the ubiquitous mode of service for, such as, our smart homes, driver-less cars, smart cities, mobile devices, health/medical monitoring and operations.