Speaker: Wenzhong SHI, Head of Department and Chair Professor in Geographic Information Science (GISci) and remote sensing, for Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University. Email: lswzshi@polyu.edu.hk
Location: CGIS Knafel K401, 1737 Cambridge St., Cambridge, MA
Abstract:
This talk presents a new scientific trend of Geographic Information Science in the era of Big Data: towards Spatial Data Science (SDS). For establishing SDS, we need to specify and identify: its definition, fundamental scientific issues, methodology, basic supporting theories, scientific challenges and application areas.
SDS can be defined as a science of discovering spatial knowledge and explaining spatial regularities of natural and human activities based on spatial (big) data. The fundamental scientific issues of SDS are identified, including a) spatial discovery and explanation and b) spatio-temporal prediction. The nature of SDS is multidisciplinary and its basic supporting theories include data science, geographic information science, computing science, spatial statistics, machine learning and spatial data mining.
The scientific challenges and research infinitives for long term developing of SDS are identified, including spatial big data analytics and discovery, spatio-temporal prediction of natural and social phenomena, spatial description and representation of spatial big data, especially for unstructured spatial data, spatial-visual analytics, integration of heterogeneous spatial information and uncertainty modeling for spatial big data.
SDS will have a significant impact on both natural and social sciences in the future. SDS can potential be applied widely to many areas, for example smart city and earth, urban and regional planning, and sustainable development.
Slides (PDF) [1.9MB]
Audio (MP3) [60MB]
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