Ride-Sharing Determinants: Spatial and Spatio-Temporal Bayesian Analysis for Chicago Service in 2022 by Mohamed Elkhouly, Taqwa Alhadidi

“…Model diagnostics demonstrate the absence of residual spatial structure in the spatial regression, confirming effective management of spatial correlation. …”
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Quantifying spatial and vertical variations in soil C:N relationships in permafrost-affected landscapes by Joshua O. Minai, Julie D. Jastrow, Roser Matamala, Chien-Lu Ping, Gary J. Michaelson, Nicolas A. Jelinski

“…Soil C:N ratio is a key indicator of organic matter quality, yet spatial estimates of N stocks and C:N ratios lag behind those for C. …”
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Research on traffic state prediction method based on traffic flow prediction under multi-time granularity by Yue Chen, Jian Lu

“…In order to improve the accuracy of traffic state prediction model, a traffic state prediction method based on multi-time granularity traffic flow prediction is proposed. …”
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Great Gerbils (Rhombomys opimus) in Central Asia Are Spreading to Higher Latitudes and Altitudes by Xuan Liu, Li Xu, Jianghua Zheng, Jun Lin, Xuan Li, Liang Liu, Ruikang Tian, Chen Mu

“…The model predicted the potential distribution of R. opimus in Central Asia with an area under the curve (AUC) of 0.986 and a True Skill Statistic (TSS) of 0.899, demonstrating excellent statistical accuracy and spatial performance. …”
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Exploring urban and agricultural land use planning by Zexu Chen, Huachun Dong

“…We used land, ecological and geographic location data to calculate land suitability, predicted future urban space through the GeoSOS-FLUS model, and finally optimized the agricultural-urban space conflict. …”
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A Spatiotemporal-Adaptive-Network-Based Method for Predicting Axial Forces in Assembly Steel Struts with Servo System of Foundation Pits by Weiwei Liu, Jianchao Sheng, Jian Zhou, Jinbo Fu, Wangjing Yao, Kuan Chang, Zhe Wang

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Developing a Topographic Model to Predict the Northern Hardwood Forest Type within Carolina Northern Flying Squirrel (Glaucomys sabrinus coloratus) Recovery Areas of the Southern A... by Andrew Evans, Richard Odom, Lynn Resler, W. Mark Ford, Steve Prisley

“…We recorded overstory species composition and terrain variables at 338 points, to construct a robust, spatially predictive model. Terrain variables analyzed included elevation, aspect, slope gradient, site curvature, and topographic exposure. …”
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New approach to predict wastewater quality for irrigation utilizing integrated indexical approaches and hyperspectral reflectance measurements supported with multivariate analysis by Mohamed Gad, Reda Abd El Hamed, Ezzat A. El Fadaly, Ibrahim E. Mousa, Aissam Gaagai, Hani Amir Aouissi, Mohamed Hamdy Eid, Mostafa R. Abukhadra, Haifa A. Alqhtani, Ahmed A. Allam, Salah Elsayed

“…Similarly, the model provided accurate predictions for BOD, with R2 = 0.96 and 0.81 for calibration and validation. …”
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Geographically Weighted Random Forest Based on Spatial Factor Optimization for the Assessment of Landslide Susceptibility by Feifan Lu, Guifang Zhang, Tonghao Wang, Yumeng Ye, Qinghao Zhao

“…Landslide susceptibility mapping is a crucial tool for landslide disaster risk management. However, the spatial heterogeneity of landslide conditioning factors affects the accuracy of predictions. …”
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Measuring the Added Effectiveness of Using Detailed Spatial and Temporal Data in Generating Accessibility Measures by Boer Cui, Emily Grisé, Anson Stewart, Ahmed El-Geneidy

“…While results show that the model fit to predict mode share is better when accessibility is generated using detailed spatial and temporal data, the improvement is minimal. …”
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Geostatistics and Artificial Intelligence Applications for Spatial Evaluation of Bearing Capacity after Dynamic Compaction by Rodney Ewusi-Wilson, Junghee Park, Boyoung Yoon, Changho Lee

“…The model performance is examined using the correlations between SPT-based and predicted bearing capacity in the context of mean absolute error (MAE), coefficient of determination (r2), and root mean square error (RMSE). …”
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Dark Web Traffic Classification Based on Spatial–Temporal Feature Fusion and Attention Mechanism by Junwei Li, Zhisong Pan

“…The experimental results show that this model can effectively extract and utilize the spatial–temporal features of traffic data and use the attention mechanism to measure the importance of different features, thereby achieving accurate predictions of different dark web traffic. …”
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Benthic foraminiferal diversity in the Arabian Gulf: spatial patterns in a basin-wide assessment. by Abduljamiu Olalekan Amao, Khalid Al-Ramadan, Michael Kaminski, Fabrizio Frontalini

“…Using an ensemble of species distribution models, we modelled the spatial patterns of individual species and stack these predictions to estimate foraminiferal species richness across the basin. …”
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Constructing the Spatial Data to Forecast Potential Habitat for Amphibians and Reptiles under Climate Change by Man-Seok Shin, Sung-Ryong Kang, Bo-Ra Kim

“…In addition, species distribution models (MaxEnt) were used to predict current and future potential habitat for 28 amphibian and reptile species with more than 50 survey sites. …”
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Evaluating the Spatial Coverage of Air Quality Monitoring Stations Using Computational Fluid Dynamics by Giannis Ioannidis, Paul Tremper, Chaofan Li, Till Riedel, Nikolaos Rapkos, Christos Boikos, Leonidas Ntziachristos

“…Accurately assessing and predicting pollutant concentrations within urban areas is therefore crucial. …”
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Spatial Finance Exploration on Hajj Funds Sustainability Growth: Evidence from Indonesian Archipelagic by Tb. Ace Hasan Syadzily, M. Arief Mufraini, Ade Sofyan Mulazid, Murodi Murodi, Ahmad Tibrizi Soni Wicaksono

“…This research involved GRDP, Household Consumption, COVID-19 Cases, Islamic Banking Office Network, and Religiosity Index as exogenous variables with secondary data in 2020. This research uses Spatial Autoregressive Model analysis and Local Indicators of Spatial Autocorrelation through Spatial Rate Analysis to predict spillover effects. …”
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Spatial and Temporal Correlations-Based Routing Algorithm in Intermittent Connectivity Human Social Network by Zhou Tao, Xu Hongbin, Liu Ming, Liu Nianbo, Gong Haigang

“…In this paper, we propose the idea of Trip History Model (THM) which establishes a model on a single person's mobility, and then a Spatial and Temporal Correlations-Based Routing Algorithm (STC) is proposed. …”
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Performance of Spatial Distribution Quality by Ordinary Fuzzy Kriging for Soil Properties under Uncertainty by ghanim dhaher, suhaib abd albaqee

“…This research studies the spatial distribution quality of spatial interpolation methods. …”
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Dispatching strategy of shared bicycles for morning peak tidal travel based on spatial distribution by Xiangyu Lei, Jiaqi Yang

“…The study identifies the spatial distribution characteristics of the tidal phenomenon by analyzing the riding order and electronic fence data and combining them with the KD-Tree algorithm; subsequently, a demand prediction model based on the XGBoost algorithm and a hierarchical scheduling model based on the greedy algorithm are constructed to dynamically optimize the spatial distribution of the bicycle resources with the demand fluctuation as the guide. …”
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Spatial analysis of mangrove ecosystem dynamics in Banyuwangi: a geographically weighted regression approach by Yulizar Ihrami Rahmila, Lilik Budi Prasetyo, Cecep Kusmana, Suyadi, Mohammad Basyuni, Bono Pranoto, Rinny Rahmania, Wawan Halwany, Varenna Faubiany, Tri Muji Susantoro, Gatot Winarso, Lisna Efiyanti, Dian Anggraini Indrawan

“…The mean predicted growth rate is 3.68, with local R-squared values varying from 0.003 to 0.547, highlighting the model’s differential explanatory power across diverse locales. …”
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