Maximizing spatial–temporal coverage in mobile crowd-sensing based on public transports with predictable trajectory by Chaowei Wang, Chensheng Li, Cai Qin, Weidong Wang, Xiuhua Li

“…Therefore, based on the predictable trajectory of public transports, we design a novel system model and formulate the selection of public transports as an optimization problem to maximize the spatial–temporal coverage. …”
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Instantaneous 2D extreme wind speed prediction using the novel Wind Gust Prediction Net based on purely convolutional neural mechanism by Zeguo Zhang, Jianchuan Yin

“…Comprehensive discussions with both temporal and spatial perspective, revealing that the proposed model can offer an accurate 2D wind gust prediction along timeline (the PCC equals to 0.98).…”
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THE GEOSPACE COMPETENCES WITH THE TPACK MODEL AND OUTDOOR EDUCATION by Isabel Maria GOMEZ- TRIGUEROS

“…This Nlearning must be achieved through two complementary pillars: technological tools, properly implemented, and the experiential referent of Outdoors Education. The main objective of this study was to evaluate the achievement of spatial and digital competences through an intervention in the classroom of Primary School Teachers of the University of Alicante, with the TPACK teaching model. …”
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Identification model of gifted students in secondary education by Carmen Ferrándiz, María Dolores Prieto, María Carmen Fernández, Gloria Soto, Mercedes Ferrando, María del Mar Badía

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Predicting Suitable Spatial Distribution Areas for Urban Trees Under Climate Change Scenarios Using Species Distribution Models: A Case Study of <i>Michelia chapensis</i> by Chenbin Shen, Xi Chen, Chao Zhou, Lingzi Xu, Mingyi Qian, Hongbo Zhao, Kun Li

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Spatially varying parameters improve carbon cycle modeling in the Amazon rainforest with ORCHIDEE r8849 by L. Zhu, L. Zhu, L. Zhu, L. Zhu, P. Ciais, Y. Yao, D. Goll, S. Luyssaert, I. Martínez Cano, A. Fendrich, A. Fendrich, L. Li, H. Yang, S. Saatchi, W. Li, W. Li

“…<p>Uncertainty in the dynamics of the Amazon rainforest poses a critical challenge for accurately modeling the global carbon cycle. Current dynamic global vegetation models (DGVMs), which use one or two plant functional types for tropical rainforests, fail to capture observed biomass and mortality gradients in this region, raising concerns about their ability to predict forest responses to global change drivers. …”
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Modeling the spatial distribution of African buffalo (Syncerus caffer) in the Kruger National Park, South Africa. by Kristen Hughes, Geoffrey T Fosgate, Christine M Budke, Michael P Ward, Ruth Kerry, Ben Ingram

“…Spatial distribution models were created using buffalo census information and archived data from previous research. …”
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Preserving Spatial Patterns in Point Data: A Generalization Approach Using Agent-Based Modeling by Martin Knura, Jochen Schiewe

“…We present the architecture of the model and compare the results with methods focusing on extreme value preservation as well as clutter reduction. …”
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Spatial correlation effects on rock mass behavior: insights from stochastic modeling in longwall mining by Mohammad Reza Soleimanfar, Reza Shirinabadi, Navid Hosseini Alaee, Ehsan Moosavi, Ghodratollah Mohammadi

“…Abstract The mechanical behavior of rock masses in longwall mining is critically influenced by spatial correlation among material properties, yet conventional deterministic models often overlook this variability. …”
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Ensemble Learning for Spatial Modeling of Icing Fields from Multi-Source Remote Sensing Data by Shaohui Zhou, Zhiqiu Gao, Bo Gong, Hourong Zhang, Haipeng Zhang, Jinqiang He, Xingya Xi

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Hydrologic performance assessment of low impact development facilities based on monitoring data and SWMM modeling in an urban catchment in Taiwan by Yu-Jia Chiu, Lo-Chen Chang, Yu-Te Lin, Ying-Tien Lin, Chen-Wuing Liu, Jin-Jing Lee

“…Simulations performed using the Storm Water Management Model (SWMM) calibrated using field data collected in 2021–2024 demonstrated that these LID facilities reduced runoff volume by as much as 88%, with peak flow reductions reaching 90%. …”
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Modeling Spatial Distribution of Snow Water Equivalent Using Transfer Learning Across Mountainous Basins by Lama El Halabi, Utkarsh Mital, Dipankar Dwivedi

“…By conducting an exploratory factor analysis, we validated this hypothesis and refined our TL model, which incorporated data based on 80 snowpack maps from California to predict SWE in Colorado. …”
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Spatial Modeling of Yellowfin Tuna in the Banda Sea Based on Oceanographic Factors Using MaxEnt by Sunarwan Asuhadi, Mukti Zainuddin, Safruddin Safruddin, Musbir Musbir

“…This study models the spatial distribution of yellowfin tuna (YFT) in the Banda Sea using the MaxEnt approach, addressing critical questions about its predictive capability, the influence of environmental variables such as sea surface temperature (SST) and chlorophyll-a concentration, and temporal patterns. …”
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Comparison of spatial dynamics and point kinetics approaches in multiphysics modeling of the molten salt reactor experiment by Philip Pfahl, Mustafa K. Jaradat, Mauricio E. Tano, Ramiro O. Freile, Samuel A. Walker, Javier Ortensi

“…The 0-D code Squirrel accurately predicted the time-dependent behavior in the MSRE given the steady-state spatial dynamics solution of Griffin.…”
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Modeling consequences of spatial closures for offshore energy: Loss of fishing grounds and fishery‐independent data by M. Campbell, J. F. Samhouri, J. W. White

“…This produced two effects in the model: initial loss of fishery yield due to the closure and reductions in fishing effort when the loss of data triggered precautionary measures in the harvest control rule. …”
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Underutilized crops for diversified agri-food systems: spatial modeling and farmer adoption of buckwheat in Italy by Marta Verza, Luca Camanzi, Luca Mulazzani, Antonio Giampaolo, Santiago Rodriguez, Giulio Malorgio, Konstadinos Mattas

“…It evaluates how factors such as financial incentives, peer influence, and farmers’ willingness to adopt affect the diffusion of this underutilized crop. To this end, a spatial agent-based model (ABM) is employed to simulate farmers’ decision-making processes based on profit maximization and peer influence. …”
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The educational system of Yakutia: overcoming the challenges by V. M. Savvinov

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Machine learning-driven framework for realtime air quality assessment and predictive environmental health risk mapping by M. Rajesh, R. Ganesh Babu, Usha Moorthy, Sathishkumar Veerappampalayam Easwaramoorthy

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Six-Dimensional Spatial Dimension Chain Modeling via Transfer Matrix Method with Coupled Form Error Distributions by Lu Liu, Xin Jin, Huan Guo, Chaojiang Li

“…The experimental validation on an aero-engine casing assembly shows that the SDC model captures multidimensional closed-loop spatial errors, with absolute errors of max–min closed-loop distances below 9.3 μm and coaxiality prediction errors under 8.3%. …”
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Application of Radionuclides Migration Software(MNS) in Radionuclides Diffusion Modeling by Yao LI, Rui-hao LI, Duo ZHOU, Xi CHEN, Yu-wei XU, Bo WANG

“…Pre-processing involves the construction of spatial models and parameter assignment, such as porosity, mineral density, radionuclide diffusion and migration parameters, and water flow velocity. …”
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