Enhanced scan statistic with tightened window for detecting irregularly shaped hotspots

Author:

Yan Xiaorui12ORCID,Fu Zhuoting12ORCID,Pei Tao123ORCID,Song Ci12ORCID,Fang Zidong12ORCID,Liu Xiaohan12ORCID,Gao Meng4ORCID,Chen Xiao12ORCID,Chen Jie1

Affiliation:

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

2. University of Chinese Academy of Sciences, Beijing, China

3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, China

4. College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China

Funder

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

Informa UK Limited

Reference60 articles.

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3. The detection of clusters in rare diseases;Besag J.;Journal of the Royal Statistical Society. Series A (Statistics in Society),1991

4. ST-DBSCAN: An algorithm for clustering spatial–temporal data;Birant D.;Data & Knowledge Engineering,2007

5. RNN-DBSCAN: a density-based clustering algorithm using reverse nearest neighbor density estimates;Bryant A.;IEEE Transactions on Knowledge and Data Engineering,2018

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