Results 31 to 40 of about 1,791 (210)

GeoAI for Topographic Data Accuracy Enhancement: the AI4TDB project [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
GeoAI combines artificial intelligence (AI) with geospatial data, science, and technologies. In this paper, a successful case in utilizing GeoAI to improve the data quality in the national topographic database (TDB) of Finland was introduced. The project
L. Zhu, J. Raninen, E. Hattula
doaj   +1 more source

GeoAI: Where machine learning and big data converge in GIScience [PDF]

, 2021
In this paper GeoAI is introduced as an emergent spatial analytical framework for data-intensive GIScience. As the new fuel of geospatial research, GeoAI leverages recent breakthroughs in machine learning and advanced computing to achieve scalable ...
Li, Wenwen
core   +1 more source

Towards Understanding the Geospatial Skills of ChatGPT: Taking a Geographic Information Systems (GIS) Exam [PDF]

, 2023
This paper examines the performance of ChatGPT, a large language model (LLM), in a geographic information systems (GIS) exam. As LLMs like ChatGPT become increasingly prevalent in various domains, including education, it is important to understand their ...
Cui, Wencong, Guan, Boyuan, Juhasz, Levente, Mooney, Peter   +3 more
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Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations (Short Paper) [PDF]

, 2023
This research focuses on assessing the ability of large language models (LLMs) in representing geometries and their spatial relations. We utilize LLMs including GPT-2 and BERT to encode the well-known text (WKT) format of geometries and then feed their ...
Gao, Song, Ji, Yuhan
core   +1 more source

Integrating XAI and GeoAI

, 2021
GIScience 2021 Short Paper Proceedings. 11th International Conference on Geographic Information Science. September 27-30, 2021. Poznań, Poland (Online).
Xing, Jin, Sieber, Renee
openaire   +3 more sources

From Geospatial Data Cube to AI Cube: the Open Geospatial Engine (OGE) Approach [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
The Earth Observation (EO) analytics are moving from local systems to online cloud computing platforms such as Google Earth Engine (GEE) and Open Geospatial Engine (OGE).
P. Yue, P. Yue, K. Wang, H. Xu, J. Gong, L. Xiang   +5 more
doaj   +1 more source

Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges [PDF]

, 2023
In recent decades, we have witnessed great advances on the Internet of Things, mobile devices, sensor-based systems, and resulting big data infrastructures, which have gradually, yet fundamentally influenced the way people interact with and in the ...
Bandrova, T, Batty, M, Chen, M, Cheng, T, Claramunt, C, Golay, F, He, L, Ingensand, J, Joost, S, Klippel, A, Kolditz, O, Konecny, M, Kwan, MP, Li, S, Lin, H, Liu, X, Lotfian, M, Lü, G, Peng, P, Ratti, C, Robinson, AC, Senousi, AM, Strobl, J, Torrens, PM, Wang, D, Wang, J, Wilson, JP, Zhang, F, Çöltekin, A   +28 more
core  

PreciPatch: A Dictionary-based Precipitation Downscaling Method

Remote Sensing, 2020
Climate and weather data such as precipitation derived from Global Climate Models (GCMs) and satellite observations are essential for the global and local hydrological assessment.
Mengchao Xu, Qian Liu, Dexuan Sha, Manzhu Yu, Daniel Q. Duffy, William M Putman, Mark Carroll, Tsengdar Lee, Chaowei Yang   +8 more
doaj   +1 more source

Deriving neighborhood-level diet and physical activity measurements from anonymized mobile phone location data for enhancing obesity estimation

International Journal of Health Geographics, 2022
Background Obesity is a serious public health problem. Existing research has shown a strong association between obesity and an individual’s diet and physical activity. If we extend such an association to the neighborhood level, information about the diet
Ryan Zhenqi Zhou, Yingjie Hu, Jill N. Tirabassi, Yue Ma, Zhen Xu   +4 more
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Towards the next generation of Geospatial Artificial Intelligence

International Journal of Applied Earth Observations and Geoinformation
Geospatial Artificial Intelligence (GeoAI), as the integration of geospatial studies and AI, has become one of the fastest-developing research directions in spatial data science and geography.
Gengchen Mai, Yiqun Xie, Xiaowei Jia, Ni Lao, Jinmeng Rao, Qing Zhu, Zeping Liu, Yao-Yi Chiang, Junfeng Jiao   +8 more
doaj   +1 more source