Results 91 to 100 of about 65,415 (265)

TreeMig framework ver. 1.0: an R package with GUI to simulate spatio‐temporal forest dynamics

Ecography, EarlyView.
Spatio‐temporal vegetation models are essential for simulating dynamics and shifts in species distributions over large areas, particularly under global change. One such model is the dynamic forest landscape model TreeMig. We have developed a framework that makes the model more user‐friendly, improves its functionality, and expands its possibilities ...
Heike Lischke, David Böhm, Dirk R. Schmatz, Achilleas Psomas, Thomas J. Löffler, Alain Joss, Daniel Scherrer   +6 more
wiley   +1 more source

A novel ST-iTransformer model for spatio-temporal ambient air pollution forecasting

Journal of Big Data
Accurate prediction of air pollutant dynamics is crucial for public health, sustainable environmental management, and ecosystem analysis. Air pollutants exhibit intricate spatial and temporal patterns, which pose considerable challenges for accurate ...
Rui Zhang, Norhashidah Awang
doaj   +1 more source

A practical guide to species trend detection with unstructured data using local frequency scaling (Frescalo)

Ecography, EarlyView.
Accurately measuring biodiversity change remains a central challenge in ecology. Beyond the general idea of quantifying temporal species frequency changes, several sampling‐related biases in data collection remain key methodological challenges to consider. Long‐term standardized ecological data are rare, and most available datasets exhibit considerable
Romain Goury, Diana E. Bowler, Colin Harrower, Tamara Münkemüller, Jeanne Vallet, Jon M. Yearsley, Wilfried Thuiller, Oliver L. Pescott   +7 more
wiley   +1 more source

Citizen science deepens the ecological and climatic dimensions of mosquito surveillance

Ecography, EarlyView.
As mosquito‐borne diseases continue to expand worldwide, integrating citizen science into vector surveillance presents untapped potential. This study compares ecological models of Aedes albopictus, an invasive mosquito and global vector of dengue and other arboviruses, in Spain (2020–2022), using two contrasting data sources: traditional traps and ...
Catuxa Cerecedo‐Iglesias, John R. B. Palmer, Frederic Bartumeus   +2 more
wiley   +1 more source

A Contrastive Learning Framework for Vehicle Spatio-Temporal Trajectory Similarity in Intelligent Transportation Systems

Information
The rapid development of vehicular networks has facilitated the extensive acquisition of vehicle trajectory data, which serve as a crucial cornerstone for a variety of intelligent transportation system (ITS) applications, such as traffic flow management ...
Qiang Tong, Zhi-Chao Xie, Wei Ni, Ning Li, Shoulu Hou   +4 more
doaj   +1 more source

Spatio-temporal data analysis and accessibility method for IoV in an urban scene

Tongxin xuebao, 2021
In order to solve the problems of diversity spatio-temporal data and low connectivity efficiency in a single road side unit for Internet of vehicles (IoV) in an urban scene, a spatio-temporal data analysis and accessibility method was presented.First, a ...
Jiujun CHENG, Guiyuan YUAN, Jie CUI, Aiguo ZHOU, Bo LYU, Guangyao LI   +5 more
doaj  

Constructing Policy (In)coherence in Germany's Energy Transition and Impacts on (In)equality

Environmental Policy and Governance, EarlyView.
ABSTRACT Policy coherence is widely regarded as essential for achieving sustainable development, climate targets, and reducing inequality, as reflected in the 2030 Agenda for Sustainable Development. Recent scholarship has moved beyond technocratic approaches, drawing on comparative politics, particularly the “3 I's” of ideas, interests, and ...
Alexia Faus Onbargi, Ines Dombrowsky
wiley   +1 more source

Mining contacts from spatio-temporal trajectories

AI Open
Contact mining is discovering objects in close proximity in their movements in order to reveal possible interactions, infections, collisions or contacts.
Adikarige Randil Sanjeewa Madanayake, Kyungmi Lee, Ickjai Lee   +2 more
doaj   +1 more source

A Novel Multilevel Conceptual Framework for Flood Risk Governance

Environmental Policy and Governance, EarlyView.
ABSTRACT Globally, flood risk is increasing as climate change progresses. Contemporary flood risk management practice often utilises hydrodynamic modelling (for hazard risk assessments), social vulnerability assessments, and risk communications in silo, which fragments evidence‐based decision‐making for effective flood risk management. We hence develop
Aiperi Stambekova, Avidesh Seenath
wiley   +1 more source

TraffiCoT-R: A framework for advanced spatio-temporal reasoning in large language models

Alexandria Engineering Journal
Spatio-temporal prediction investigates dynamic patterns in urban areas, including traffic flow, population movement, and infrastructure development and change.
Tariq Alsahfi, Kaleem Ullah Qasim
doaj   +1 more source