GeoAI-enhanced Techniques to Support Geographical Knowledge Discovery from Big Geospatial Data
abstract: Big data that contain geo-referenced attributes have significantly reformed the way that I process and analyze geospatial data. Compared with the expected benefits received in the data-rich environment, more data have not always contributed to more accurate analysis. “Big but valueless” ha...
Other Authors: | Zhou, Xiran (Author) |
---|---|
Format: | Doctoral Thesis |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/2286/R.I.53688 |
Similar Items
-
An overview of GeoAI applications in health and healthcare
by: Maged N. Kamel Boulos, et al.
Published: (2019-05-01) -
Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology
by: Trang VoPham, et al.
Published: (2018-04-01) -
GeoAI for detection of solar photovoltaic installations in the Netherlands
by: Bala Bhavya Kausika, et al.
Published: (2021-12-01) -
Knowledge-Driven GeoAI: Integrating Spatial Knowledge into Multi-Scale Deep Learning for Mars Crater Detection
by: Chia-Yu Hsu, et al.
Published: (2021-05-01) -
Lidar remote sensing of savanna biophysical attributes
by: Gwenzi, David
Published: (2015)