A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence-Reference-Cited by-同舟云学术

A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence

Published:2020-08-18 Issue:10 Volume:35 Page:2002-2025
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Cheng Ximeng¹²^ORCID,Wang Jianying¹,Li Haifeng³,Zhang Yi¹,Wu Lun¹,Liu Yu¹^ORCID

Affiliation:

1. Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing, China

2. CyberGIS Center for Advanced Digital and Spatial Studies, Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA

3. School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China

Funder

by the National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2020.1805116

Reference59 articles.

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4. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

5. ST-DBSCAN: An algorithm for clustering spatial–temporal data

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