New Results
Spatio-temporal point processes as meta-models for population dynamics in heterogeneous landscapes
Patrizia Zamberletti, Julien Papaïx, Edith Gabriel, Thomas Opitz
doi: https://doi.org/10.1101/2021.06.04.447081
Patrizia Zamberletti
1Biostatistics and Spatial Processes, INRAE, Avignon, France
Julien Papaïx
1Biostatistics and Spatial Processes, INRAE, Avignon, France
Edith Gabriel
1Biostatistics and Spatial Processes, INRAE, Avignon, France
Thomas Opitz
1Biostatistics and Spatial Processes, INRAE, Avignon, France

Article usage
Posted June 06, 2021.
Spatio-temporal point processes as meta-models for population dynamics in heterogeneous landscapes
Patrizia Zamberletti, Julien Papaïx, Edith Gabriel, Thomas Opitz
bioRxiv 2021.06.04.447081; doi: https://doi.org/10.1101/2021.06.04.447081
Subject Area
Subject Areas
- Biochemistry (9568)
- Bioengineering (7080)
- Bioinformatics (24813)
- Biophysics (12594)
- Cancer Biology (9940)
- Cell Biology (14310)
- Clinical Trials (138)
- Developmental Biology (7940)
- Ecology (12090)
- Epidemiology (2067)
- Evolutionary Biology (15971)
- Genetics (10911)
- Genomics (14721)
- Immunology (9856)
- Microbiology (23611)
- Molecular Biology (9468)
- Neuroscience (50791)
- Paleontology (369)
- Pathology (1537)
- Pharmacology and Toxicology (2677)
- Physiology (4004)
- Plant Biology (8651)
- Synthetic Biology (2388)
- Systems Biology (6419)
- Zoology (1345)