Space-time disease mapping by combining Bayesian maximum entropy and Kalman filter: the BME-Kalman approach-Reference-Cited by-同舟云学术

Space-time disease mapping by combining Bayesian maximum entropy and Kalman filter: the BME-Kalman approach

Published:2020-07-22 Issue:3 Volume:35 Page:466-489
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Hu Bisong¹²^ORCID,Ning Pan¹,Li Yi³,Xu Chengdong²,Christakos George⁴,Wang Jinfeng²

Affiliation:

1. School of Geography and Environment, Jiangxi Normal University, Nanchang, China

2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

3. National Engineering Research Center for Geoinformatics, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China

4. Geography Department, San Diego State University, San Diego, CA, USA

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Innovation Project of LREIS

Opening Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research

Jiangxi Normal University

Ministry of Education

Publisher

Informa UK Limited

Subject

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