Spatiotemporal Point Pattern Analysis
Spatiotemporal Point Pattern Analysis is a statistical methodology within spatial epidemiology that examines the distribution of discrete health events across both space and time to identify non-random clustering patterns, distinguishing it from static spatial or purely temporal analyses by integrating the joint dimensionality of space and time in point-level data.
49
Publications
2.3K
Citations
194
Authors
107
Institutions
Publications per year
2017–2026
19
Parents
49
1–5 of 49
194
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107

Helmholtz Centre for Environmental Research
Leipzig, Germany
6 h-index
12 publications
990 citations

University of Alicante
Alicante, Spain
3 h-index
4 publications
171 citations
Wuhan University
Wuhan, China
3 h-index
15 publications
345 citations
Estación Biológica de Doñana
Seville, Spain
3 h-index
6 publications
330 citations
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
Nanjing, China
2 h-index
2 publications
56 citations

University of Turin
Turin, Italy
2 h-index
4 publications
275 citations

Consejo Nacional de Investigaciones Científicas y Técnicas
Buenos Aires, Argentina
2 h-index
6 publications
135 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
1.2K citations
1–8 of 107
2 publications · 170 citations
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2 publications · 44 citations
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ESPR · 1 publications · 14 citations
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1 publications · 21 citations
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JVS · 1 publications · 35 citations
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