Artificial Intelligence in Spatial Analysis and Modeling

Type: Paper
Theme:
Sponsor Groups:
Poster #:
Day: 4/10/2018
Start / End Time: 12:40 PM / 2:20 PM
Room: Napoleon D1, Sheraton 3rd Floor
Organizers: Minrui Zheng
Chairs: Minrui Zheng

Description

Artificial intelligence (AI) technologies approaches have been extensively used for the spatial modeling of complex geographic phenomena. The last decades have witnessed significantly advanced in both the speed and the performance of computing by the emergence of AI technologies. AI can be applied to solve a range of problems, such as spatial optimization, land use planning, big data applications, or GIS and suitability analysis and so on.

The goal of this session is to create a platform for presenting and stimulating discussion about spatial analysis and modeling (SAM) using artificial intelligence, geospatial big data, dynamic modeling, and high-performance computing techniques. Topics may include, but are not limited to:

(1) Machine learning and artificial intelligence in SAM
(2) Dynamic modeling (e.g. cellular automata and agent-based modeling)
(3) Quantitative analysis
(5) High-performance computing in SAM


Agenda

Type Details Minutes Start Time
Presenter Minrui Zheng*, University of North Carolina - Charlotte, Wenwu Tang, University of North Carolina - Charlotte, Multilevel analysis of spatially explicit model 20 12:40 PM
Presenter Taylor Hauser*, Oak Ridge National Laboratory, Automated Quality Control of Spatial Data Extracted Using Deep Learning 20 1:00 PM
Presenter Li Kaiming*, Tongji university,department of urban planning , Geng Huizhi, Tongji university ,department of urban planning , The Spatial Optimization of Agricultural Land in Rural Areas of Mega-city based on Ecological perspective -A Case Study of Pudong New District, Shanghai 20 1:20 PM
Presenter Wei Tu*, Georgia Southern University, Applying ancillary statistic measures to interpret the neighborhood effect on health outcomes obtained using multilevel logistic regression models: A case study of preterm birth in Georgia, USA 20 1:40 PM
Presenter Zheng Xinqi*, School of Infomation Engineering,China University of Geosciences (Beijing), Spatial Data Mining of Settlements Distribution in China Based on Multi-dimension Analysis 20 2:00 PM

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