Fertility, Migration, and Spatial Interaction in Turkey: An Analysis under the Selectivity Hypothesis by Sibel Selim, Derya Bilgin

“…In this context, the study unveils a spatial relationship between migration and fertility in Turkey and, thus, invalidates the selectivity hypothesis.…”
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Collaborative Joint Perception and Prediction for Autonomous Driving by Shunli Ren, Siheng Chen, Wenjun Zhang

“…To achieve effective and communication-efficient information sharing, two novel designs are proposed: (1) a task-oriented spatial–temporal information-refinement model, which filters redundant and noisy multi-frame features into concise representations; (2) a spatial–temporal importance-aware feature-fusion model, which comprehensively fuses features from various agents. …”
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FibroRegNet: A Regression Framework for the Pulmonary Fibrosis Prognosis Prediction Using a Convolutional Spatial Transformer Network by Pardhasaradhi Mittapalli, V. Thanikaiselvan

“…Predicting the growth of idiopathic pulmonary fibrosis (IPF) is crucial for effectively treating patients affected by the disease. …”
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Characteristics of Spatial and Temporal Evolution of Coastal Wetland Landscape Patterns and Prediction Analysis—A Case Study of Panjin Wetland, China by Qian Cheng, Ruixin Chen, Wei Xu, Meiqing Wang

“…For this research, we quantified the landscape type changes in Panjin Wetland from 1992–2022, and analyzed the interaction between the combined PLUS and InVEST models to predict the future evolution of spatial and temporal patterns of habitat quality (HQ) and landscape patterns in Panjin Wetland. …”
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Where to refine spatial data to improve accuracy in crop disease modelling: an analytical approach with examples for cassava by Yevhen F. Suprunenko, Christopher A. Gilligan

“…However, the underlying data on spatial locations of host crops that are susceptible to a pathogen are often incomplete and inaccurate, thus reducing the accuracy of model predictions. …”
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Spatial-temporal Distribution of Carbon Storage in Qilian Mountain National Park Based on InVEST Model by Deng Zhe, Ding Wenguang, Pu Xiaoting, Lyu Yongjie, Wang Yali

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RETRACTED: Effects of Forestry on Carbon Emissions in China: Evidence From a Dynamic Spatial Durbin Model by Zaijun Li, Zouheir Mighri, Zouheir Mighri, Suleman Sarwar, Chen Wei

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Research on a Crime Spatiotemporal Prediction Method Integrating Informer and ST-GCN: A Case Study of Four Crime Types in Chicago by Yuxiao Fan, Xiaofeng Hu, Jinming Hu

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Spatial and Temporal Dynamics of Water Conservation in Xiangjiang River Basin Based on ANUSPLIN and InVEST Model by GUO Binbin, LIU Yuxin

“…This study evaluated the simulation results of the Xiangjiang River basin at different spatial and temporal scales from 1991 to 2020 based on the ANUSPLIN interpolation precipitation data and the InVEST model and explored the spatial and temporal dynamics of water conservation within the basin. …”
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Spatial and Temporal Dynamics of Water Conservation in Xiangjiang River Basin Based on ANUSPLIN and InVEST Model by GUO Binbin, LIU Yuxin

“…This study evaluated the simulation results of the Xiangjiang River Basin at different spatial and temporal scales from 1991 to 2020 based on the ANUSPLIN interpolation precipitation data and the InVEST model and explored the spatial and temporal dynamics of water conservation within the basin. …”
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A Computational–Cognitive Model of Audio-Visual Attention in Dynamic Environments by Hamideh Yazdani, Alireza Bosaghzadeh, Reza Ebrahimpour, Fadi Dornaika

“…Inspired by cognitive studies, we propose a computational model that combines spatial, temporal, face (low-level and high-level visual cues), and auditory saliency to predict visual attention more effectively. …”
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Multi-scenario modelling of urban spatial growth under water resources and aquatic ecological environmental constraints by Ran Xu, Lu Liu, Yaliang Liu, Xin Yi, Hui Qiu

“…A logistic model based on spatial autocorrelation can explain the driving factors of land use in the study area. …”
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The Metaverse Is Geospatial: A System Model Architecture Integrating Spatial Computing, Digital Twins, and Virtual Worlds by Theofilos Papadopoulos, Konstantinos Evangelidis, Theodore H. Kaskalis, Georgios Evangelidis

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Mapping and understanding the regional farmland SOC distribution in southern China using a Bayesian spatial model by Bifeng Hu, Yibo Geng, Hanjie Ni, Zhou Shi, Zheng Wang, Nan Wang, Jipeng Luo, Modian Xie, Qian Zou, Thomas Optiz, Hongyi Li

“…Finally, an interpretable machine learning model, the SHapley Additive exPlanation (SHAP), is used to quantify the environmental covariates’ contribution to mapping SOC, as well as mapping spatial varying primary covariates for predicting SOC in the study area. …”
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Integration of fuzzy logic and geographic weighted regression modeling for enhanced groundwater potential mapping using remote sensing and GIS by Junguang Gao, Amnah A. Alasgah, Imran Ahmad, Faten Nahas, Mithas Ahmad Dar, Martina Zelenakova, Milashu Sisay, Getanew Sewnet Zewdu

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Information-Theoretic Modeling of Categorical Spatiotemporal GIS Data by David Percy, Martin Zwick

“…An NLCD tool reports how much change occurred for each category of land use; for the study area examined, the most dynamic class is Evergreen Forest (EFO), so the presence or absence of EFO in 2021 was chosen as the dependent variable that our data modeling attempts to predict. RA predicts the outcome with approximately 80% accuracy using a sparse set of cells from a spacetime data cube consisting of neighboring lagged-time cells. …”
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Using Structural Class Pairing to Address the Spatial Mismatch Between GEDI Measurements and NFI Plots by Nikola Besic, Sylvie Durrieu, Anouk Schleich, Cedric Vega

“…Beginning with the prediction of profile structural classes and shapes on NFI plots, the proposed method ultimately projects actual measurements onto the NFI plot sites through profile pairing within the predicted structural classes. …”
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Spatial risk modelling of highly pathogenic avian influenza in France: Fattening duck farm activity matters. by Jean Artois, Timothée Vergne, Lisa Fourtune, Simon Dellicour, Axelle Scoizec, Sophie Le Bouquin, Jean-Luc Guérin, Mathilde C Paul, Claire Guinat

“…In this study, we present a comprehensive analysis of the key spatial risk factors and predictive risk maps for HPAI infection in France, with a focus on the 2016-17 and 2020-21 epidemic waves. …”
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Spatial and temporal distribution of infiltration, curve number and runoff coefficients using TOPMODEL and SCS-CN models by Mohammad Hossein Pishvaei, Shabnam Noroozpour, Touraj Sabzevari, Mostafa Akbari Kheirabadi, Andrea Petroselli

“…Infiltration, the process by which water enters the soil, is intricately intertwined with the attributes of the catchment, including soil composition and vegetation cover, both of which exhibit temporal and spatial variability. Accurate quantification of infiltration rates is imperative for enhancing the predictive capabilities of rainfall-runoff models, especially in regions with limited hydrological monitoring infrastructure, such as many developing countries where a significant portion of catchments remains ungauged. …”
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Spatial transcriptomics and scRNA-seq: decoding tumor complexity and constructing prognostic models in colorectal cancer by Wei Song, Yatao Wang, Min Zhou, Fengqin Guo, Yanliang Liu

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