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Spatial Point Patterns: Methodology and Applications with R
Abstract
Modern Statistical Methodology and Software for Analyzing Spatial Point PatternsSpatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data. Making the techniques accessible to non-mathematicians, the authors draw on th
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Zhao, J., Chen, A. X., Gartrell, R. D., Silverman, A. M., Aparicio, L., Chu, T., Bordbar, D., Shan, D., Samanamud, J., Mahajan, A., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0349-y · Cited by 903
Carstens, J. L., Correa de Sampaio, P., Yang, D., Barua, S., Wang, H., Rao, A., Allison, J. P., LeBleu, V. S., & Kalluri, R. (2017) · Nature Communications · doi:10.1038/ncomms15095 · Cited by 633
Bandyopadhyay, S., Duffy, M. P., Ahn, K. J., Sussman, J. H., Pang, M., Smith, D., Duncan, G., Zhang, I., Huang, J., Lin, Y., et al. (2024) · Cell · doi:10.1016/j.cell.2024.04.013 · Cited by 300
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Metadata
- Authors
- Baddeley, A., Rubak, E., & Turner, R.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2015-11-11
- OpenAlex
- W4250310729
- Cited by
- 1,590
- References
- 0
- FWCI
- 35.63
- Type
- book
- Language
- en
- Open access
- closed
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- Baddeley, A., Rubak, E., & Turner, R. (2015). Spatial Point Patterns: Methodology and Applications with R. Chapman & Hall/CRC eBooks. https://doi.org/10.1201/b19708
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
