18 papers · ranked by Valyu relevance
Diogo Pacheco, Marcos Oliveira, Zexun Chen, Hugo Barbosa + 3 more
'Brooke Foucault Welles' 'Gourab Ghoshal' 'Ronaldo Menezes'] Human travelling behaviours are markedly regular, to a large extent, predictable, and mostly driven by biological necessities (e.g. sleeping, eating) and social constructs (e.g. school schedules, synchronisation of labour). Not surprisingly, such…
Wieger H. Scheurer, Micha Heilbron
Prediction is foundational to theories of perceptual processing and learning, in both neuroscience and AI. However, it remains unclear whether prediction occurs routinely during naturalistic perception, and at what level of abstraction the brain predicts. Here, we address both questions by analysing 7T fMRI recordings…
Micha Heilbron, Floris P. de Lange, Xue-Xin Wei
Theories of predictive processing propose that sensory systems constantly predict incoming signals, based on spatial and temporal context. However, evidence for prediction in sensory cortex largely comes from artificial experiments using simple, highly predictable stimuli, that arguably encourage prediction. Here, we…
En Xu, Yilin Bi, Hongwei Hu, Xin Chen + 4 more
a Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China b CompleX Lab, University of Electronic Science and Technology of China, Chengdu, 611731, China c Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, 518055, China d School of Computer…
Mauricio Herrera, Francisca Kleisinger, A. Nolan Wilson
Effective resource management and environmental planning in regions with high climatic variability, such as Chile, demand advanced predictive tools. The success in these areas heavily relies on accurately interpreting and forecasting climatic patterns. This study addresses these challenges by employing an innovative…
Peng Luo, Yongze Song, Wenwen Li, Lingsheng Meng
Understanding the complex nature of spatial information is crucial for problem solving in social and environmental sciences. This study investigates how the underlying patterns of spatial data can significantly influence the outcomes of spatial predictions. Recognizing unique characteristics of spatial data, such as…
Bibandhan Poudyal, Diogo Pacheco, Marcos Oliveira, Zexun Chen + 3 more
mobility Dynamic predictability and activity-location contexts in human mobility Authors: Bibandhan Poudyal, Diogo Pacheco, Marcos Oliveira, Zexun Chen, Hugo S. Barbosa, Ronaldo Menezes, Gourab Ghoshal Human travelling behaviours are markedly regular, to a large extent predictable, and mostly driven by biological…
Martin Jung
Biodiversity varies in space and time, and often in response to environmental heterogeneity. Indicators in the form of local biodiversity measures – such as species richness or abundance – are common tools to capture this variation. The rise of readily available remote sensing data has enabled the characterization of…
Alexander Brenning
While significant progress has been made towards explaining black-box machine-learning (ML) models, there is still a distinct lack of diagnostic tools that elucidate the spatial behaviour of ML models in terms of predictive skill and variable importance. This contribution proposes spatial prediction error profiles…
Krishnendu Pal, Smita Deb, Partha Sharathi Dutta
Complex spatial systems can experience critical transitions or tippings on crossing a threshold value in their response to stochastic perturbations. Whilst previous studies have well-characterized the impact of white noise on tipping, the effect of correlated noise in spatial ecosystems remains largely unexplored.…
Khan Mortuza Bin Asad, Yihong Yuan, Fabrizio Marozzo, Junhao Wen
Understanding human movement patterns is crucial for comprehending how a city functions. It is also important for city planners and policymakers to create more efficient plans and policies for urban areas. Traditionally, human movement patterns were analyzed using origin-destination surveys, travel diaries, and other…
Martin Jung, Eric Ward
Background Biodiversity varies in space and time, and often in response to environmental heterogeneity. Indicators in the form of local biodiversity measures-such as species richness or abundance-are common tools to capture this variation. The rise of readily available remote sensing data has enabled the…
Benoît Pichon, Sophie Donnet, Isabelle Gounand, Sonia Kéfi
Resource-limited ecosystems, such as drylands, can exhibit self-organized spatial patterns. Theory suggests that these patterns can reflect increasing degradation levels as ecosystems approach possible tipping points to degradation. However, we still lack ways of estimating a distance to degradation points that is…
Authors not listed
Gibbs’ paradox—the apparent discontinuity in mixing entropy for gases of varying similarity and the seeming reversibility of mixing-separation cycles—has resisted fully satisfactory resolution for 150 years. We present a solution based on categorical state theory, which posits that physical con f igurations are…
Alexandra Bezbochina, Elizaveta Stavinova, Anton Kovantsev, Petr Chunaev + 1 more
'Petr Chunaev' 'Mohammad Reza Rahimi Tabar'] Driven by the variety of available measures intended to estimate predictability of diverse objects such as time series and network links, this paper presents a comprehensive overview of the existing literature in this domain. Our overview delves into predictability from two…
Mei Tessum, Susan Anenberg, Zoe Chafe, Daven Henze + 4 more
To improve air quality, knowledge of the sources and locations of air pollutant emissions is critical. However, for many global cities, no previous estimates exist of how much exposure to fine particulate matter (PM2.5), the largest environmental cause of mortality, is caused by emissions within the city vs. outside…
Ling Huang, Shannon Stokes, Qining Chen, Felipe Cardoso-Saldaña + 1 more
Total column loadings of methane measured by satellites are increasingly used to estimate methane emission rates, using inversion calculations. Forward calculations of methane column loadings, based on detailed emission inventories at fine spatial resolution, coupled with fine spatial scale gridded chemical transport…
Bram Van Moorter, Ilkka Kivimäki, Manuela Panzacchi, Rafael Schouten + 4 more
Connected habitats underpin key ecological processes such as movement, gene flow, and recolonization. As land-use change accelerates habitat loss and fragmentation, there is an urgent need to identify priority areas for conserving habitat and maintaining connectivity. We develop a unified spatial prioritization…