Integrating Machine Learning Techniques for Enhanced Safety and Crime Analysis in Maryland by Zeinab Bandpey, Soroush Piri, Mehdi Shokouhian

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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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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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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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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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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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Factors influencing docked bike-sharing usage in the City of Kigali, Rwanda by Jean Marie Vianney Ntamwiza, Hannibal Bwire

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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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OPTIMIZING ROAD SAFETY: THE ROLE OF GEOGRAPHIC INFORMATION SYSTEMS (GIS) IN TRAFFIC ACCIDENT ANALYSIS AND PREDICTION by Mohammed Shukur Alfaras, Oğuz Karan, Sefer Kurnaz

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Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model by Miaoxuan Shan, Chunlin Ye, Peng Chen, Shufan Peng

“…In this paper, we introduce a novel deep learning-based model, adaptive-GCNLSTM (Ada-GCNLSTM). Specifically, in the spatial feature extraction module, we enhance the model's ability to capture crime spatial distributions by leveraging graph convolutional networks to model spatial dependencies in conjunction with the maximum mean discrepancy to extract the universal features of crime data. …”
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Random Cross-Validation Produces Biased Assessment of Machine Learning Performance in Regional Landslide Susceptibility Prediction by Chandan Kumar, Gabriel Walton, Paul Santi, Carlos Luza

“…Machine learning (ML) models are extensively used in spatial predictive modeling, including landslide susceptibility prediction. …”
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Integrative Lighting Design for Educational Spaces: Linking Spatial Distribution and Spectral Strategies for Visual and Non-Visual Control by Ana Sanchez-Cano, Luz Blasco-Yachemet, Elvira Orduna-Hospital, Justiniano Aporta

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Temporal–Spatial Partial Differential Equation Modeling of Land Cover Dynamics via Satellite Image Time Series and Sparse Regression by Ming Kang, Zheng Zhang, Zhitao Zhao, Keli Shi, Junfang Zhao, Ping Tang

“…Land cover dynamics play a critical role in understanding environmental changes, but accurately modeling these dynamics remains a challenge due to the complex interactions between temporal and spatial factors. …”
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Spatial Analysis of Rural Architecture Structure in Passive Defense by VIKOR Modeling; Case study: Yaseh Chai Village by Kourosh Momeni, Mostafa Mohebian, Elias Mavedat

“…Based on the results obtained from the VIKOR modeling, the spatial analysis of the architectural and urban structure of Yaseh Chai village is based on non-operational defense criteria, such as "hiding the village's appearance with local materials" and "predicting the stair-shaped form of houses to reduce damage caused by the destruction of houses" as well as "suitable village location based on suitable and fertile soil for agriculture, horticulture and farming to provide for the economic needs of the inhabitants." …”
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