Journal of Agricultural, Biological and Environmental Statistics

2016 - 2025

Current editor(s): Stephen Buckland

From:
Springer
The International Biometric Society
American Statistical Association
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Volume 30, issue 1, 2025

Editorial A Tribute to Professor Geoffrey Alan Hawkes (19 September 1938–9 November 2023) pp. 1-7

Jing Chen

Semi-parametric Spatio-Temporal Hawkes Process for Modelling Road Accidents in Rome pp. 8-38

Pierfrancesco Alaimo Di Loro, Marco Mingione and Paolo Fantozzi

An Inhomogeneous Weibull–Hawkes Process to Model Underdispersed Acoustic Cues pp. 39-62

Alec B. M. Van Helsdingen, Tiago A. Marques and Charlotte M. Jones-Todd

Expectations of Linear and Nonlinear Hawkes Processes Using a Field-Theoretical Approach pp. 63-88

Lirong Cui and Didier Sornette

Spatio-Temporal Hawkes Point Processes: A Review pp. 89-119

Alba Bernabeu, Jiancang Zhuang and Jorge Mateu

Joint Spatial Modeling Bridges the Gap Between Disparate Disease Surveillance and Population Monitoring Efforts Informing Conservation of At-risk Bat Species pp. 120-145

Christian Stratton, Kathryn M. Irvine, Katharine M. Banner, Emily S. Almberg, Dan Bachen and Kristina Smucker

Modeling Complex Species-Environment Relationships Through Spatially-Varying Coefficient Occupancy Models pp. 146-171

Jeffrey W. Doser, Andrew O. Finley, Sarah P. Saunders, Marc Kéry, Aaron S. Weed and Elise F. Zipkin

Clustering and Geodesic Scaling of Dissimilarities on the Spherical Surface pp. 172-192

J. Fernando Vera, Ricardo Subiabre and Rodrigo Macías

Animal Density Estimation for Large Unmarked Populations Using a Spatially Explicit Model pp. 193-210

Riki Herliansyah, Ruth King, Dede Aulia Rahman and Stuart King

Quantile Regression for Longitudinal Functional Data with Application to Feed Intake of Lactating Sows pp. 211-230

Maria Laura Battagliola, Helle Sørensen, Anders Tolver and Ana-Maria Staicu

Exploring the Efficacy of Statistical and Deep Learning Methods for Large Spatial Datasets: A Case Study pp. 231-254

Arnab Hazra, Pratik Nag, Rishikesh Yadav and Ying Sun

Volume 29, issue 4, 2024

Two Tests of Significance for Preferred Direction in Tree Radial Growth Under a Linear-Circular Regression Model with Correlated Random Errors pp. 649-670

Pierre Dutilleul, Tomoaki Imoto and Kunio Shimizu

A Spatial Mixture Model for Spaceborne Lidar Observations Over Mixed Forest and Non-forest Land Types pp. 671-694

Paul B. May, Andrew O. Finley and Ralph O. Dubayah

Models to Support Forest Inventory and Small Area Estimation Using Sparsely Sampled LiDAR: A Case Study Involving G-LiHT LiDAR in Tanana, Alaska pp. 695-722

Andrew O. Finley, Hans-Erik Andersen, Chad Babcock, Bruce D. Cook, Douglas C. Morton and Sudipto Banerjee

3D Point Cloud Semantic Segmentation Through Functional Data Analysis pp. 723-744

Manuel Oviedo de la Fuente, Carlos Cabo, Javier Roca-Pardiñas, E. Louise Loudermilk and Celestino Ordóñez

Design and Analysis of a Microplate Assay in the Presence of Multiple Restrictions on the Randomization pp. 745-765

Alexandre Bohyn, Eric D. Schoen, Chee Ping Ng, Kristina Bishard, Manon Haarmans, Sebastian J. Trietsch and Peter Goos

Model-Based Geostatistics Under Spatially Varying Preferential Sampling pp. 766-792

André Victor Ribeiro Amaral, Elias Teixeira Krainski, Ruiman Zhong and Paula Moraga

Geographically Weighted Regression-Based Model Calibration Estimation of Finite Population Total Under Geo-referenced Complex Surveys pp. 793-811

Bappa Saha, Ankur Biswas, Tauqueer Ahmad and Nobin Chandra Paul

Estimating Species Abundance from Presence–Absence Maps by Kernel Estimation pp. 812-830

Ya-Mei Chang and Ying-Chi Huang

Order Restricted Randomized Block Designs pp. 831-852

Omer Ozturk, Richard Jarrett and Olena Kravchuk

Two Gaussian Regularization Methods for Time-Varying Networks pp. 853-873

Jie Jian, Peijun Sang and Mu Zhu

Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data pp. 874-894

Li Xu, Yili Hong, Eric P. Smith, David S. McLeod, Xinwei Deng and Laura J. Freeman

Volume 29, issue 3, 2024

The $$\beta $$ β -divergence for Bandwidth Selection in Circular Kernel Density Estimation pp. 417-437

Babacar Diakhate, Hamza Dhaker and Papa Ngom

Sample Size for Estimating Disease Prevalence in Free-Ranging Wildlife Populations: A Bayesian Modeling Approach pp. 438-454

James G. Booth, Brenda J. Hanley, Florian H. Hodel, Christopher S. Jennelle, Joseph Guinness, Cara E. Them, Corey I. Mitchell, Md Sohel Ahmed and Krysten L. Schuler

Spatial Confounding and Spatial+ for Nonlinear Covariate Effects pp. 455-470

Emiko Dupont and Nicole H. Augustin

Accommodating False Positives Within Acoustic Spatial Capture–Recapture, with Variable Source Levels, Noisy Bearings and an Inhomogeneous Spatial Density pp. 471-490

Felix T. Petersma, Len Thomas, Aaron M. Thode, Danielle Harris, Tiago A. Marques, Gisela V. Cheoo and Katherine H. Kim

An Application of Spatio-Temporal Modeling to Finite Population Abundance Prediction pp. 491-515

Matt Higham, Michael Dumelle, Carly Hammond, Jay Hoef and Jeff Wells

Comparing Methods for Determining Power Priors Based on Different Congruence Measures pp. 516-535

Jing Zhang, Ainsley Helling and A. John Bailer

Predicting the Temperature-Driven Development of Stage-Structured Insect Populations with a Bayesian Hierarchical Model pp. 536-552

Kala Studens, Benjamin M. Bolker and Jean-Noël Candau

Environmental Effects on the Spatiotemporal Variability of Sardine Distribution Along the Portuguese Continental Coast pp. 553-575

Daniela Silva, Raquel Menezes, Ana Moreno, Ana Teles-Machado and Susana Garrido

Integrating Different Data Sources Using a Bayesian Hierarchical Model to Unveil Glacial Refugia pp. 576-600

Mauricio Campos, Bo Li, Guillaume Lafontaine, Joseph Napier and Feng Sheng Hu

Principal Component Analysis of Two-dimensional Functional Data with Serial Correlation pp. 601-620

Shirun Shen, Huiya Zhou, Kejun He and Lan Zhou

Monitoring and Comparing Air and Green House Gases Emissions of Various Countries pp. 621-644

Ambreen Shafqat, Qurat ul An Sabir, Su-Fen Yang, Muhammad Aslam, Mohammed Albassam and Kashif Abbas

Review of “Numerical Methods in Environmental Data Analysis” by Moses Eterigho Emetere pp. 645-647

Mudarris Mudarris and Desy Permatasari

Volume 29, issue 2, 2024

Clustered and Unclustered Group Testing for Biosecurity pp. 193-211

Robert Graham Clark, Belinda Barnes and Mahdi Parsa

Locally Anisotropic Nonstationary Covariance Functions on the Sphere pp. 212-231

Jian Cao, Jingjie Zhang, Zhuoer Sun and Matthias Katzfuss

Covariance Clustering: Modelling Covariance in Designed Experiments When the Number of Variables is Greater than Experimental Units pp. 232-256

Clayton R. Forknall, Arūnas P. Verbyla, Yoni Nazarathy, Adel Yousif, Sarah Osama, Shirley H. Jones, Edward Kerr, Benjamin L. Schulz, Glen P. Fox and Alison M. Kelly

Testing Correlation in a Three-Level Model pp. 257-276

Anna Szczepańska-Álvarez, Adolfo Álvarez, Artur Szwengiel and Dietrich Rosen

A New Type of LASSO Regression Model with Cauchy Noise pp. 277-300

Amir Hossein Ghatari, Mina Aminghafari and Adel Mohammadpour

Assessing Spatial Stationarity and Segmenting Spatial Processes into Stationary Components pp. 301-319

ShengLi Tzeng, Bo-Yu Chen and Hsin-Cheng Huang

Spatial Wildfire Risk Modeling Using a Tree-Based Multivariate Generalized Pareto Mixture Model pp. 320-345

Daniela Cisneros, Arnab Hazra and Raphaël Huser

Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks pp. 346-378

Matthias Eckardt and Mehdi Moradi

Discussion of the Paper “Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks” pp. 379-388

Ottmar Cronie, Julia Jansson and Konstantinos Konstantinou

Discussion of ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ by Matthias Eckardt and Mehdi Moradi pp. 389-391

Pavel Grabarnik and Arne Pommerening

Discussion of the Paper by Eckardt and Moradi pp. 392-394

Dietrich Stoyan

Discussion of ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ by Matthias Eckardt and Mehdi Moradi pp. 395-398

M. N. M. Lieshout

Discussion of “Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks” pp. 399-404

Mari Myllymäki, Tuomas Rajala and Aila Särkkä

Rejoinder on ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’ pp. 405-416

Matthias Eckardt and Mehdi Moradi

Volume 29, issue 1, 2024

A Modified Neighborhood Hypothesis Test for Population Mean in Functional Data pp. 1-18

Dhanamalee Bandara, Leif Ellingson, Souparno Ghosh and Ranadip Pal

Estimator of Agreement with Covariate Adjustment pp. 19-35

Katelyn A. McKenzie and Jonathan D. Mahnken

Multivariate Modeling of Precipitation-Induced Home Insurance Risks Using Data Depth pp. 36-55

Asim K. Dey, Vyacheslav Lyubchich and Yulia R. Gel

Nonparametric Conditional Risk Mapping Under Heteroscedasticity pp. 56-72

Rubén Fernández-Casal, Sergio Castillo-Páez and Mario Francisco-Fernández

A Novel Framework and a New Score for the Comparative Analysis of Forest Models Accounting for the Impact of Climate Change pp. 73-91

Nikola Besic, Nicolas Picard, Julien Sainte-Marie, Modeste Meliho, Christian Piedallu and Myriam Legay

Presence-Only for Marked Point Process Under Preferential Sampling pp. 92-109

Guido A. Moreira, Raquel Menezes and Laura Wise

Bayesian Hierarchical Models for the Combination of Spatially Misaligned Data: A Comparison of Melding and Downscaler Approaches Using INLA and SPDE pp. 110-129

Ruiman Zhong and Paula Moraga

Spatially Clustered Survey Designs pp. 130-146

Scott D. Foster, Emma Lawrence and Andrew J. Hoskins

Spatiotemporal Event Studies for Environmental Data Under Cross-Sectional Dependence: An Application to Air Quality Assessment in Lombardy pp. 147-168

Paolo Maranzano and Matteo Pelagatti

A Nonparametric Bootstrap Method for Heteroscedastic Functional Data pp. 169-184

Rubén Fernández-Casal, Sergio Castillo-Páez and Miguel Flores

J. A. Diehl and H. Kaur (Eds.): New Forms of Urban Agriculture: An Urban Ecology Perspective—A Book Review pp. 185-188

Prodipto Bishnu Angon

Review of “Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting” by Anuradha Tomar, Prerna Gaur, and Xiaolong Jin (Editors) pp. 189-191

Dani Pasaribu, Alrend Roy Peterson Kaputing and Delvianus Kaesmentan