Pub Date : 2024-03-26DOI: 10.1007/s13253-024-00613-1
Matthias Eckardt, Mehdi Moradi
{"title":"Rejoinder on ‘Marked Spatial Point Processes: Current State and Extensions to Point Processes on Linear Networks’","authors":"Matthias Eckardt, Mehdi Moradi","doi":"10.1007/s13253-024-00613-1","DOIUrl":"https://doi.org/10.1007/s13253-024-00613-1","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"105 51","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140380671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-18DOI: 10.1007/s13253-024-00612-2
Emma S. Simpson, J. Tawn
{"title":"Inference for New Environmental Contours Using Extreme Value Analysis","authors":"Emma S. Simpson, J. Tawn","doi":"10.1007/s13253-024-00612-2","DOIUrl":"https://doi.org/10.1007/s13253-024-00612-2","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140234793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-24DOI: 10.1007/s13253-023-00593-8
Christian Stratton, K. Irvine, Katharine M. Banner, E. Almberg, Dan Bachen, Kristina Smucker
{"title":"Joint Spatial Modeling Bridges the Gap Between Disparate Disease Surveillance and Population Monitoring Efforts Informing Conservation of At-risk Bat Species","authors":"Christian Stratton, K. Irvine, Katharine M. Banner, E. Almberg, Dan Bachen, Kristina Smucker","doi":"10.1007/s13253-023-00593-8","DOIUrl":"https://doi.org/10.1007/s13253-023-00593-8","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"41 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140435212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-23DOI: 10.1007/s13253-024-00604-2
M. Cendoya, Ana Navarro-Quiles, A. López-Quílez, Antonio Vicent, David Conesa
{"title":"An Individual-Based Spatial Epidemiological Model for the Spread of Plant Diseases","authors":"M. Cendoya, Ana Navarro-Quiles, A. López-Quílez, Antonio Vicent, David Conesa","doi":"10.1007/s13253-024-00604-2","DOIUrl":"https://doi.org/10.1007/s13253-024-00604-2","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"27 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140435301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-21DOI: 10.1007/s13253-023-00596-5
Daniela Cisneros, A. Hazra, Raphael Huser
{"title":"Spatial Wildfire Risk Modeling Using a Tree-Based Multivariate Generalized Pareto Mixture Model","authors":"Daniela Cisneros, A. Hazra, Raphael Huser","doi":"10.1007/s13253-023-00596-5","DOIUrl":"https://doi.org/10.1007/s13253-023-00596-5","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"229 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140443727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-23DOI: 10.1007/s13253-023-00587-6
Mudarris Mudarris, Desy Permatasari
{"title":"Review of “Numerical Methods in Environmental Data Analysis” by Moses Eterigho Emetere","authors":"Mudarris Mudarris, Desy Permatasari","doi":"10.1007/s13253-023-00587-6","DOIUrl":"https://doi.org/10.1007/s13253-023-00587-6","url":null,"abstract":"","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"1 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139243649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-15DOI: 10.48550/arXiv.2311.08661
Li Xu, Yili Hong, Eric P. Smith, David S. McLeod, Xinwei Deng, Laura J. Freeman
As is true of many complex tasks, the work of discovering, describing, and understanding the diversity of life on Earth (viz., biological systematics and taxonomy) requires many tools. Some of this work can be accomplished as it has been done in the past, but some aspects present us with challenges which traditional knowledge and tools cannot adequately resolve. One such challenge is presented by species complexes in which the morphological similarities among the group members make it difficult to reliably identify known species and detect new ones. We address this challenge by developing new tools using the principles of machine learning to resolve two specific questions related to species complexes. The first question is formulated as a classification problem in statistics and machine learning and the second question is an out-of-distribution (OOD) detection problem. We apply these tools to a species complex comprising Southeast Asian stream frogs ( Limnonectes kuhlii complex) and employ a morphological character (hind limb skin texture) traditionally treated qualitatively in a quantitative and objective manner. We demonstrate that deep neural networks can successfully automate the classification of an image into a known species group for which it has been trained. We further demonstrate that the algorithm can successfully classify an image into a new class if the image does not belong to the existing classes. Additionally, we use the larger MNIST dataset to test the performance of our OOD detection algorithm. We finish our paper with some concluding remarks regarding the application of these methods to species complexes and our efforts to document true biodiversity.
{"title":"Deep Neural Network Identification of Limnonectes Species and New Class Detection Using Image Data","authors":"Li Xu, Yili Hong, Eric P. Smith, David S. McLeod, Xinwei Deng, Laura J. Freeman","doi":"10.48550/arXiv.2311.08661","DOIUrl":"https://doi.org/10.48550/arXiv.2311.08661","url":null,"abstract":"As is true of many complex tasks, the work of discovering, describing, and understanding the diversity of life on Earth (viz., biological systematics and taxonomy) requires many tools. Some of this work can be accomplished as it has been done in the past, but some aspects present us with challenges which traditional knowledge and tools cannot adequately resolve. One such challenge is presented by species complexes in which the morphological similarities among the group members make it difficult to reliably identify known species and detect new ones. We address this challenge by developing new tools using the principles of machine learning to resolve two specific questions related to species complexes. The first question is formulated as a classification problem in statistics and machine learning and the second question is an out-of-distribution (OOD) detection problem. We apply these tools to a species complex comprising Southeast Asian stream frogs ( Limnonectes kuhlii complex) and employ a morphological character (hind limb skin texture) traditionally treated qualitatively in a quantitative and objective manner. We demonstrate that deep neural networks can successfully automate the classification of an image into a known species group for which it has been trained. We further demonstrate that the algorithm can successfully classify an image into a new class if the image does not belong to the existing classes. Additionally, we use the larger MNIST dataset to test the performance of our OOD detection algorithm. We finish our paper with some concluding remarks regarding the application of these methods to species complexes and our efforts to document true biodiversity.","PeriodicalId":506444,"journal":{"name":"Journal of Agricultural, Biological and Environmental Statistics","volume":"26 3","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139273638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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