Improving National Forest Mapping in Romania Using Machine Learning and Sentinel-2 Multispectral Imagery by Mohamed Islam Keskes, Aya Hamed Mohamed, Stelian Alexandru Borz, Mihai Daniel Niţă

“…To ensure the reliability of the model predictions, extensive field campaigns were conducted across representative Romanian forests. …”
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Spatiotemporal Dynamics and Prediction of Habitat Quality Based on Land Use and Cover Change in Jiangsu, China by Ge Shi, Chuang Chen, Qingci Cao, Jingran Zhang, Jinghai Xu, Yu Chen, Yutong Wang, Jiahang Liu

“…This study utilizes the land use data of Jiangsu Province for the years 2000, 2010, and 2020, applying the FLUS model to investigate the driving force behind land expansion and to simulate a prediction for the land use of 2030. …”
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A Comparative Study of Downscaling Methods for Groundwater Based on GRACE Data Using RFR and GWR Models in Jiangsu Province, China by Rihui Yang, Yuqing Zhong, Xiaoxiang Zhang, Aizemaitijiang Maimaitituersun, Xiaohan Ju

“…In the validation of the correlation accuracy between the downscaling results and the measured groundwater levels, the Random Forest model demonstrated better predictive performance, which offers distinct advantages in improving the spatial resolution of groundwater storage changes in Jiangsu Province.…”
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Effect of nuclear medium on the spatial distribution of pions by Satyajit Puhan, Navpreet Kaur, Arvind Kumar, Suneel Dutt, Harleen Dahiya

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Importance of Considering Seasonality in Tick Activity When Assessing Spatial Expansion Potential: A Case Study on Haemaphysalis longicornis by Younjung Kim, Raphaëlle Métras

“…In this study, we mapped the spatial expansion risk of H. longicornis in North America and Europe by training a habitat suitability model with its occurrence data from East Asia and Oceania. …”
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Spatial distribution of acute myeloid leukaemia in Denmark by Rikke Hedegaard Jensen, Christian Teglgaard, Lars Hernández Nielsen, Lise Dueholm Bertelsen, Heidi Søgaard Christensen, Martin Bøgsted, Marianne Tang Severinsen

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Urban air pollution and spatial strategic response by Chuyi Fang, Yuqing Zhao

“…We first develop a theoretical model in which environmental standards function as strategic complements, predicting that a prefecture’s pollution control efforts are positively influenced by those of neighboring regions. …”
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Evaluating logistic regression and geographically weighted logistic regression models for predicting orange-fleshed sweet potato adoption intention in Benin by Idrissou Ahoudou, Nicodeme V. Fassinou Hotegni, Charlotte O. A. Adjé, Tania L. I. Akponikpè, Dêêdi E. O. Sogbohossou, Nadia Fanou Fogny, Françoise Assogba Komlan, Ismail Moumouni-Moussa, Enoch G. Achigan-Dako

“…The GWLR model excels in elucidating the spatial nuances of diverse factors, offering a promising avenue for more reliable predictions for OFSP adoption.…”
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Multi-scenario land use change simulation and spatial-temporal evolution of carbon storage in the Yangtze River Delta region based on the PLUS-InVEST model. by Jingru Zhou, Verner Carl Johnson, Jingchao Shi, Mou Leong Tan, Fei Zhang

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Spatial analysis of prehospital emergency medical services accessibility: a comparative evaluation of the GAUSS-probability two-step floating catchment area model in Handan City by Feng Tian, Feng Tian, Feng Tian, Saicong Lu, Saicong Lu, Saicong Lu, Zhenjie Yang, Tingting Zhao, Tingting Zhao, Tingting Zhao, Penghui Li, Penghui Li, Penghui Li, Haifang Zhang

“…In this study, the GAUSS-Probability Two-step Floating Catchment Area (GP2SFCA) method was applied to evaluate the spatial distribution of access to prehospital EMS in Handan City and to assess accessibility differences by comparing it with various models.ResultsThe results demonstrated that the GP2SFCA model achieved significantly improved performance, with an average correlation coefficient of 0.7017, indicating a notably higher predictive accuracy. …”
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Optimizing Parcel Locker Selection in Campus Last-Mile Logistics: A Path Planning Model Integrating Spatial–Temporal Behavior Analysis and Kernel Density Estimation by Hongbin Zhang, Peiqun Lin, Liang Zou

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Assessing Coincidence of Satellite Acquisitions and Flood Events to Predict Suitability for Flood Map Synthesis by Lyle Prince, Riley C. Hales, Kel N. Markert, E. James Nelson, Gustavious P. Williams, Daniel P. Ames, Hyongki Lee, Amirhossein Rostami

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Air pollution’s numerical, spatial, and temporal heterogeneous impacts on childhood hand, foot and mouth disease: a multi-model county-level study from China by Zhangying Tang, Qi Sun, Jay Pan, Mingyu Xie, Zhoufeng Wang, Xiaojun Lin, Xiuli Wang, Yumeng Zhang, Qingping Xue, Yanchen Bo, Jinfeng Wang, Xin Liu, Chao Song

“…Conclusions This study underscores the nuanced and three-perspective heterogeneous influences of air pollution on HFMD in small areas, emphasizing the need for differentiated, localized, and time-sensitive prevention and control strategies to enhance the precision of dynamic early warnings and predictive models for HFMD and other infectious diseases, particularly in the fields of environmental and spatial epidemiology.…”
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A Review of Wind Power Prediction Methods Based on Multi-Time Scales by Fan Li, Hongzhen Wang, Dan Wang, Dong Liu, Ke Sun

“…Common classification angles of wind power prediction methods are outlined. By synthesizing existing approaches through multi-time scales, from the ultra-short term and short term to mid-long term, the review further deconstructs methods by model characteristics, input data types, spatial scales, and evaluation metrics. …”
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Life strategies and the long-term climate-driven dynamics of the endemic Caucasian plant Fritillaria latifolia Willd. by R.H. Pshegusov, V.A. Chadaeva, I.V. Taniya, L.M. Abramova, A.N. Mustafina

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MODEL SPACE TIME AUTOREGRESSIVE INTEGRATED (STARI) UNTUK DATA DEBIT AIR SUNGAI CITARUM DI PROVINSI JAWA BARAT by Mutik Alawiyah, Dianne Amor Kusuma, Budi Nurani Ruchjana

“…The spatial lag used in this study was the spatial lag of order 2, so the Citarum river water discharge could be predicted with the STARI model. …”
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User Trajectory Prediction in Cellular Networks Using Multi-Step LSTM Approaches: Case Study and Performance Evaluation by Iskandar, Hajiar Yuliana, Hendrawan, Adriel Timoteo, Fabian Rafinanda Benyamin, Naufal Bhanu Anargyarahman

“…While LSTM excels in capturing sequential temporal patterns, Transformer introduces multi-head attention mechanisms to model complex spatial and temporal dependencies, filling a significant research gap in trajectory prediction. …”
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Unmanned Aerial Vehicles Applicability to Mapping Soil Properties Under Homogeneous Steppe Vegetation by Azamat Suleymanov, Mikhail Komissarov, Mikhail Aivazyan, Ruslan Suleymanov, Ilnur Bikbaev, Arseniy Garipov, Raphak Giniyatullin, Olesia Ishkinina, Iren Tuktarova, Larisa Belan

“…We used an area in the Eurasian steppe zone (Republic of Bashkortostan, Russia) covered with the <i>Stipa</i> vegetation type as a test plot, and collected 192 soil samples from it. We estimated the models using a cross-validation approach and spatial prediction uncertainties. …”
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DFAST: A Differential-Frequency Attention-Based Band Selection Transformer for Hyperspectral Image Classification by Deren Fu, Yiliang Zeng, Jiahong Zhao

“…Hyperspectral image (HSI) classification faces challenges such as high dimensionality, spectral redundancy, and difficulty in modeling the coupling between spectral and spatial features. …”
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A Multi-kernel CNN model with attention mechanism for classification of citrus plants diseases by Shiny R M, Angelin Gladston, Khanna Nehemiah H

“…Abstract One of the primary challenges leading to a significant reduction in agricultural production is the prevalence of diseases affecting citrus plants. …”
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