scholarly journals Estimating koala density from incidental koala sightings in South‐East Queensland, Australia (1997–2013), using a self‐exciting spatio‐temporal point process model

2021 ◽  
Author(s):  
Ravi Bandara Dissanayake ◽  
Emanuele Giorgi ◽  
Mark Stevenson ◽  
Rachel Allavena ◽  
Joerg Henning
2021 ◽  
Author(s):  
Morteza Raeisi ◽  
Florent Bonneu ◽  
Edith Gabriel

Abstract We propose a new point process model that combines, in the spatiotemporal setting, both multi-scaling by hybridization and hardcore distances. Our so-called hybrid Strauss hardcore point process model allows different types of interaction, at different spatial and/or temporal scales, that might be of interest in environmental and biological applications. The inference and simulation of the model are implemented using the logistic likelihood approach and the birth-death Metropolis-Hastings algorithm. Our model is used to describe forest fire occurrences in Spain.


2015 ◽  
Vol 110 (509) ◽  
pp. 6-15 ◽  
Author(s):  
Zhengyi Zhou ◽  
David S. Matteson ◽  
Dawn B. Woodard ◽  
Shane G. Henderson ◽  
Athanasios C. Micheas

2003 ◽  
Vol 3 (1/2) ◽  
pp. 95-101 ◽  
Author(s):  
L. Holden ◽  
S. Sannan ◽  
H. Bungum

Abstract. A simplified stochastic model for earthquake occurrence focusing on the spatio-temporal interactions between earthquakes is presented. The model is a marked point process model in which each earthquake is represented by its magnitude and coordinates in space and time. The model incorporates the occurrence of aftershocks as well as the build-up and subsequent release of strain. The parameters of the model are estimated from a maximum likelihood calculation.


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