Predicted Spatial Patterns of Suitable Habitats for <i>Troides aeacus</i> Under Different Climate Scenarios by Biyu Liu, Xinqi Deng, Zhiqian Liu, Xinju Wei, Honghua Zhang, Danping Xu, Zhihang Zhuo

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A Digital Shadow for Modeling, Studying and Preventing Urban Crime by Juan Palma-Borda, Eduardo Guzman, Maria-Victoria Belmonte

“…Our approach transforms and integrates well-known criminological theories and the expert knowledge of law enforcement agencies (LEA), policy makers, and other stakeholders under a theoretical model, which is in turn combined with real crime, spatial (cartographic) and socio-economic data into an urban model characterizing the daily behavior of citizens. …”
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Displacement Patterns and Predictive Modeling of Slopes in the Bayan Obo Open-Pit Iron Mine by Penghai Zhang, Yang Li, Xin Dong, Tianhong Yang, Honglei Liu

“…The displacement time series were decomposed using Variational Mode Decomposition (VMD) into trend and periodic components, for which Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM) models were respectively developed. The results indicate that (1) DBSCAN effectively detects clusters characterized by high average cumulative displacement and broad spatial distribution, while filtering out isolated outliers. (2) The trend component prediction achieved a coefficient of determination (R²) of 0.99755, while the periodic component prediction yielded a root mean square error (RMSE) of just 0.0978 mm. …”
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Ensemble‐Based Spatially Distributed CLM5 Hydrological Parameter Estimation for the Continental United States by Hongxiang Yan, Ning Sun, Hisham Eldardiry, Travis Thurber, Patrick Reed, Daniel Kennedy, Sean Swenson, Jennie Rice

“…Abstract One of the major challenges in large‐domain hydrological modeling efforts lies in the estimation of spatially distributed hydrological parameters while simultaneously accounting for their associated uncertainties. …”
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Spectroscopic analysis (UV-VIS-NIR) for predictive modeling of macro and micronutrients in grapevine leaves by J.I. Manzano, M. Rodríguez-Febereiro, M. Fandiño, M. Vilanova, J.J. Cancela

“…The ultraviolet (UV) range played a minor role, highlighting the predominant importance of the VIS-NIR regions in spectroscopic analyses.Finally, the results support the potential of this technique for swiftly and non-invasively predicting both macro and micronutrient levels in grapevine plants, and facilitate the fertilization planning using variety-specific reference levels, or precision viticulture adapted to site-specific demands, including spatial intra-plot variability.…”
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A Hybrid Deep Learning–Based Approach for Visual Field Test Forecasting by Ashkan Abbasi, PhD, Sowjanya Gowrisankaran, PhD, Wei-Chun Lin, MD, PhD, Xubo Song, PhD, Bhavna Josephine Antony, PhD, Gadi Wollstein, MD, Joel S. Schuman, MD, Hiroshi Ishikawa, MD

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Unraveling environmental influences on the spatial and temporal dynamics of cyanobacterial blooms in Lake Erhai during its early stage of eutrophication by Shangbo Yang, Jianzhong Lu, Xiaoling Chen, Xuejiao Hou, Zushuai Wei, Jinru Wu

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Spatial modeling of two mosquito vectors of West Nile virus using integrated nested Laplace approximations by Kristin J. Bondo, Diego Montecino‐Latorre, Lisa Williams, Matt Helwig, Kenneth Duren, Michael L. Hutchinson, W. David Walter

“…We observed different spatial patterns of abundance in the predictive risk maps of each of the species. …”
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Investigating spatial skills and math anxiety as mediatorsinasequential mediation model: A pilot study by Lu Wang

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Modeling and Prediction of Mixed Errors in Feed Systems Based on Digital Twins by HUANG Hua, MEI Le, ZHI Xiaobo, ZHANG Huiwang

“…Finally, the proposed method is validated using spiral spatial trajectories. Experimental results demonstrate that the error twin model improves prediction accuracy by 76. 04% compared to traditional mechanism models and achieves superior accuracy compared to similar neural network models. …”
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Preliminary Mapping of the Spatial Variability in the Microclimate in Tropical Greenhouses: A Pepper Crop Perspective by Angel Triana, Alfonso Llanderal, Pedro García-Caparrós, Manuel Donoso, Rafael Jiménez-Lao, John Eloy Franco Rodríguez, María Teresa Lao

“…The objectives of this experiment were to (1) discern the spatial variability in climatic parameters within a greenhouse throughout different phenological stages of pepper cultivation and (2) develop an empirical model aimed at establishing predictive equations for temperature, relative humidity, vapor pressure deficit, and crop evapotranspiration (ETc) within the greenhouse considering the climatic parameters recorded on the outside. …”
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Modeling and mapping under-nutrition among under-five children in Ethiopia: a Bayesian spatial analysis by Fekade Getabil Habtewold, Butte Gotu Arero

“…Spatial modeling revealed that maternal age, breastfeeding practices, access to clean water and sanitation facilities, cooking practices, maternal education, and wealth status significantly influence the number of under-nutrition cases among children under five in Ethiopia. …”
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Modeling, Assessment, and Prediction of Carbon Storage in Hebei–Tianjin Coastal Wetlands by Liang Zhao, Hui Gao, Jintong Liu, Feng Wang, Tonggang Fu

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Characterizing US Spatial Connectivity and Implications for Geographical Disease Dynamics and Metapopulation Modeling: Longitudinal Observational Study by Giulia Pullano, Lucila Gisele Alvarez-Zuzek, Vittoria Colizza, Shweta Bansal

“…ObjectiveThis study aimed to address the questions that are critical for developing accurate transmission models, predicting the spatial propagation of disease across scales, and understanding the optimal geographical and temporal scale for the implementation of control policies. …”
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The impact of China pilot carbon market policy on electricity carbon emissions by Zelong Zhang, Yanli Xiao, Kun Zhang, Mengyuan Tang, Ting Ma

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Spatial risk patches of the Indian crested porcupine crop damage in southeastern Iran by Kamran Almasieh, Alireza Mohammadi

“…Conservation areas covered about 8% of the predicted spatial risk patches and 2.4% of the hotspots of agricultural damage, respectively. …”
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Mapping and Spatial Analysis of the Development of the Administrative Borders of Stavropol Region in 1785–2021 by Igor Yurievich Katorgin, Alexander Nikolaevich Roman

“…Modern methods of processing and analyzing spatial data have made it possible to carry out spatial coordination and mapping of the borders of the ATD displayed on ancient maps. …”
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Network level spatial temporal traffic forecasting with Hierarchical-Attention-LSTM by Tianya Zhang

“…This paper leverages diverse traffic state datasets from the Caltrans Performance Measurement System (PeMS) hosted on the open benchmark and achieved promising performance compared to well-recognized spatial-temporal prediction models. Drawing inspiration from the success of hierarchical architectures in various Artificial Intelligence (AI) tasks, cell and hidden states were integrated from low-level to high-level Long Short-Term Memory (LSTM) networks with the attention pooling mechanism, similar to human perception systems. …”
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Development and Spatial External Validation of a Predictive Model of Survival Based on Random Survival Forest Analysis for People Living With HIV and AIDS After Highly Active Antiretroviral Therapy in China: Retrospective Cohort Study by Xiaoshan Li, Yanhui Li, Zhengping Zhu, Bingxin Tan, Xiaoyi Zhou, Hongjie Shi, Xin Li, Ping Zhu, Yuanyuan Xu

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Investigation on Dimensionality Reduction methods for Tree-Crown Segmentation in Hyperspectral imagery using Segment Anything Model by R. Ravindran, Y. Treitz, D. Iwaszczuk

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