Cargando…

Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment

Convolutional Neural Networks (CNNs) are statistical models suited for learning complex visual patterns. In the context of Species Distribution Models (SDM) and in line with predictions of landscape ecology and island biogeography, CNN could grasp how local landscape structure affects prediction of...

Descripción completa

Detalles Bibliográficos
Autores principales:	Deneu, Benjamin, Servajean, Maximilien, Bonnet, Pierre, Botella, Christophe, Munoz, François, Joly, Alexis
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084334/ https://www.ncbi.nlm.nih.gov/pubmed/33872302 http://dx.doi.org/10.1371/journal.pcbi.1008856

Ejemplares similares

Very High Resolution Species Distribution Modeling Based on Remote Sensing Imagery: How to Capture Fine-Grained and Large-Scale Vegetation Ecology With Convolutional Neural Networks?
por: Deneu, Benjamin, et al.
Publicado: (2022)

Deep Species Distribution Modeling From Sentinel-2 Image Time-Series: A Global Scale Analysis on the Orchid Family
por: Estopinan, Joaquim, et al.
Publicado: (2022)

Species distribution modeling based on the automated identification of citizen observations
por: Botella, Christophe, et al.
Publicado: (2018)

Bias in presence-only niche models related to sampling effort and species niches: Lessons for background point selection
por: Botella, Christophe, et al.
Publicado: (2020)

Dynamic Species Distribution Modeling Reveals the Pivotal Role of Human-Mediated Long-Distance Dispersal in Plant Invasion
por: Botella, Christophe, et al.
Publicado: (2022)

LifeCLEF 2020 Teaser: Biodiversity Identification and Prediction Challenges
por: Joly, Alexis, et al.
Publicado: (2020)

Attention-Based Recurrent Neural Network for Plant Disease Classification
por: Lee, Sue Han, et al.
Publicado: (2020)

Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks
por: Filtjens, Benjamin, et al.
Publicado: (2022)

Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks
por: Skovsen, Søren Kelstrup, et al.
Publicado: (2020)

Spatial Structures of the Environment and of Dispersal Impact Species Distribution in Competitive Metacommunities
por: Ai, Dexiecuo, et al.
Publicado: (2013)

Detection and Length Measurement of Cracks Captured in Low Definitions Using Convolutional Neural Networks
por: Kim, Jin-Young, et al.
Publicado: (2023)

Abnormal behavior capture of video dynamic target based on 3D convolutional neural network
por: Chen, Fei
Publicado: (2022)

Spliceator: multi-species splice site prediction using convolutional neural networks
por: Scalzitti, Nicolas, et al.
Publicado: (2021)

MCSNet+: Enhanced Convolutional Neural Network for Detection and Classification of Tribolium and Sitophilus Sibling Species in Actual Wheat Storage Environments
por: Yang, Haiying, et al.
Publicado: (2023)

Multiscale Convolutional Neural Networks with Attention for Plant Species Recognition
por: Wang, Xianfeng, et al.
Publicado: (2021)

Spectral–Spatial Features Integrated Convolution Neural Network for Breast Cancer Classification
por: Mewada, Hiren K, et al.
Publicado: (2020)

Emergence of Visual Center-Periphery Spatial Organization in Deep Convolutional Neural Networks
por: Mohsenzadeh, Yalda, et al.
Publicado: (2020)

Exploring convolutional neural networks and spatial video for on-the-ground mapping in informal settlements
por: Ajayakumar, Jayakrishnan, et al.
Publicado: (2021)

CoSTA: unsupervised convolutional neural network learning for spatial transcriptomics analysis
por: Xu, Yang, et al.
Publicado: (2021)

Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy
por: Lazo, Jorge F., et al.
Publicado: (2021)

Intelligent Classification Model of Music Emotional Environment Using Convolutional Neural Networks
por: Ke, Feng
Publicado: (2022)

Identification of different species of Zanthoxyli Pericarpium based on convolution neural network
por: Tan, Chaoqun, et al.
Publicado: (2020)

Genome annotation across species using deep convolutional neural networks
por: Khodabandelou, Ghazaleh, et al.
Publicado: (2020)

Unraveling Spatial-Spectral Dynamics of Speech Categorization Speed Using Convolutional Neural Networks
por: Moinuddin, Kazi Ashraf, et al.
Publicado: (2022)

A Convolutional Neural Network with Spatial Location Integration for Nearshore Water Depth Inversion
por: He, Chunlong, et al.
Publicado: (2023)

Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments
por: Baldominos, Alejandro, et al.
Publicado: (2018)

3D deep convolutional neural networks for amino acid environment similarity analysis
por: Torng, Wen, et al.
Publicado: (2017)

Investigating Semantic Augmentation in Virtual Environments for Image Segmentation Using Convolutional Neural Networks
por: Ganter, Joshua, et al.
Publicado: (2021)

Environment Classification for Robotic Leg Prostheses and Exoskeletons Using Deep Convolutional Neural Networks
por: Laschowski, Brokoslaw, et al.
Publicado: (2022)

An emotion analysis in learning environment based on theme-specified drawing by convolutional neural network
por: He, Tiancheng, et al.
Publicado: (2022)

Retracted: Intelligent Classification Model of Music Emotional Environment Using Convolutional Neural Networks
por: Environmental and Public Health, Journal of
Publicado: (2023)

spatialMaxent: Adapting species distribution modeling to spatial data
por: Bald, Lisa, et al.
Publicado: (2023)

Comparing recurrent convolutional neural networks for large scale bird species classification
por: Gupta, Gaurav, et al.
Publicado: (2021)

Optical Identification of Fruitfly Species Based on Their Wingbeats Using Convolutional Neural Networks
por: Kalfas, Ioannis, et al.
Publicado: (2022)

Integration of spatial information in convolutional neural networks for automatic segmentation of intraoperative transrectal ultrasound images
por: Ghavami, Nooshin, et al.
Publicado: (2018)

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation
por: Amidi, Afshine, et al.
Publicado: (2018)

Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network
por: Yoon, Jaehong, et al.
Publicado: (2018)

Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features
por: Yao, Xuedong, et al.
Publicado: (2019)

Channel-Unet: A Spatial Channel-Wise Convolutional Neural Network for Liver and Tumors Segmentation
por: Chen, Yilong, et al.
Publicado: (2019)

Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition
por: Al-Hammadi, Muneer, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_6gdcv8anhh4g04kcf8bu8tepiu