Two-Dimensional Bayesian Information Criteria for Spatial Poisson Point Process (Case Study: Spatial Distribution Modeling of a Tree Species in Barro Colorado Island)

Prabowo, Sigit; Choiruddin, Achmad; Iriawan, Nur

Two-Dimensional Bayesian Information Criteria for Spatial Poisson Point Process (Case Study: Spatial Distribution Modeling of a Tree Species in Barro Colorado Island)

Prabowo, Sigit and Choiruddin, Achmad and Iriawan, Nur (2021) Two-Dimensional Bayesian Information Criteria for Spatial Poisson Point Process (Case Study: Spatial Distribution Modeling of a Tree Species in Barro Colorado Island). In: Proceedings of The 6th Asia-Pacific Education And Science Conference, AECon 2020, 19-20 December 2020, Purwokerto, Indonesia.

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Abstract

Species distribution modeling, where the distribution of specific species locations is connected to the environmental factors. Such data is called spatial point patterns, and the modeling is conducted based on the spatial point process. One central question is to select the best subset of such envir

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 14:42
Last Modified:	17 Apr 2026 08:10
URI:	http://eprints.eai.eu/id/eprint/36081

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