LASPATED: A Library for the Analysis of Spatio-Temporal Discrete Data
References
- Ogata Y. Statistical models for earthquake occurrences and residual analysis for point processes. Journal of the American Statistical association. 1988;83(401):9–27. DOI: 10.1080/01621459.1988.10478560
- Ogata Y. Space-time point-process models for earthquake occurrences. Annals of the Institute of Statistical Mathematics. 1998;50(2):379–402. DOI: 10.1023/A:1003403601725
- Payares-Garcia D, Platero J, Mateu JA. Dynamic Spatio- Temporal Stochastic Modeling Approach of Emergency Calls in an Urban Context. Mathematics. 2023;11(1052): 1–28. DOI: 10.3390/math11041052
- Elliott P, Wakefield J, Best N, Briggs D. Spatial Epidemiology: Methods and Applications. New York: Oxford University Press; 2001. DOI: 10.1093/acprof:oso/9780198515326.001.0001
- Waller LA, Gotway CA. Applied Spatial Statistics for Public Health Data. Hoboken, NJ: John Wiley and Sons, Inc; 2004. DOI: 10.1002/0471662682
- Schmid V. Solving the Dynamic Ambulance Relocation and Dispatching Problem Using Approximate Dynamic Programming. European Journal of Operational Research. 2012;219:611–621. DOI: 10.1016/j.ejor.2011.10.043
- Daley DJ, Vere-Jones D. An Introduction to the Theory of Point Processes: Volume I: Elementary Theory and Methods. New York, NY: Springer; 2003.
- Daley DJ, Vere-Jones D. An Introduction to the Theory of Point Processes: Volume II: General Theory and Structure. New York, NY: Springer; 2008. DOI: 10.1007/978-0-387-49835-5
- Møller J, Waagepetersen RP. Statistical Inference and Simulation for Spatial Point Processes. Boca Raton, FL: Chapman and Hall/CRC Press; 2003.
- Schabenberger O, Gotway CA.
Statistical Methods for Spatial Data Analysis . Boca Raton, FL: Chapman and Hall/CRC Press; 2005. - Gelfand AE, Diggle PJ, Fuentes M, Guttorp P. Handbook of Spatial Statistics. Boca Raton, FL: CRC Press; 2010. DOI: 10.1201/9781420072884
- Cressie N, Wikle CK. Statistics for Spatio-Temporal Data. New York, NY: John Wiley and Sons; 2011.
- Diggle PJ. Statistical Analysis of Spatial and Spatio-Temporal Point Patterns. Boca Raton, FL: CRC Press; 2014. DOI: 10.1201/b15326
- González JA, Rodríguez-Cortés FJ, Cronie O, Mateu J. Spatio-Temporal Point Process Statistics: A Review. Spatial Statistics. 2016;18:505–544.
- Bivand RS, Pebesma E, Gómez-Rubio V. Applied Spatial Data Analysis with R. New York, NY: Springer; 2013. DOI: 10.1007/978-1-4614-7618-4
- Wikle CK, Zammit-Mangion A, Cressie N. Spatio-Temporal Statistics with R. Boca Raton, FL: Chapman and Hall/CRC Press; 2019. DOI: 10.1201/9781351769723
- Pebesma E. spacetime: Spatio-Temporal Data in R. Journal of Statistical Software. 2012;51(7):1–30. DOI: 10.18637/jss.v051.i07
- Rowlingson BS, Diggle PJ. Splancs: Spatial Point Pattern Analysis Code in S-Plus. Computers and Geosciences. 1993;19(5):627–655. DOI: 10.1016/0098-3004(93)90099-Q
- Baddeley A, Turner R. spatstat: An R Package for Analyzing Spatial Point Patterns. Journal of Statistical Software. 2005;12(6):1–42. DOI: 10.18637/jss.v012.i06
- Cebrián AC, Abaurrea J, Asín J. NHPoisson: An R Package for Fitting and Validating Nonhomogeneous Poisson Processes. Journal of Statistical Software. 2015;64(6):1–25. DOI: 10.18637/jss.v064.i06
- Baddeley A, Turner R, Mateu J, Bevan A. Hybrids of Gibbs Point Process Models and Their Implementation. Journal of Statistical Software. 2013;55(11):1–43. DOI: 10.18637/jss.v055.i11
- Hansen NR. ppstat: Point Process Statistics; 2013. Available from:
https://github.com/nielsrhansen/ppstat - Guigues V, Kleywegt A, Nascimento VH. New Heuristics for the Operation of an Ambulance Fleet under Uncertainty. Computers & Operations Research. 2026;191:
107459 . DOI: 10.1016/j.cor.2026.107459 - Guigues V, Kleywegt A, Nascimento VH, Salles V, Viana T. Management and Visualization Tools for Emergency Medical Services; 2024. ArXiv.
- Iusem AN. On the Convergence Properties of the Projected Gradient Method for Convex Optimization. Computational and Applied Mathematics. 2003;22(1):37–52. DOI: 10.1590/S0101-82052003000100003
- Guigues V, Kleywegt AJ, Amorim G, Krauss AM, Nascimento VH. LASPATED: A Library for the Analysis of SPAtio-TEmporal Discrete Data (User Manual); 2023. ArXiv:2407.13889 [stat.CO].
DOI: https://doi.org/10.5334/jors.544 | Journal eISSN: 2049-9647
Language: English
Page range: 51 - 51
Submitted on: Nov 15, 2024
Accepted on: Jun 24, 2026
Published on: Jul 8, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2026 Vincent Guigues, Anton Kleywegt, Giovanni Amorim, André Krauss, Victor Hugo Nascimento, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.