MODIFIED WEIGHT MATRIX USING PRIM’S ALGORITHM IN MINIMUM SPANNING TREE (MST) APROACH FOR GSTAR(1;1) MODEL by Nur'ainul Miftahul Huda, Fransiskus Fran, Yundari Yundari, Lisa Fikadila, Fauziah Safitri

“…The existence of a weight matrix is one of the aspects that established this model. The matrix illustrates the spatial impact that occurs between locations. …”
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Impact of low carbon orientation on green finance in highly polluted areas based on STIRPAT spatial panel model by Yunyan Yang

“…This study aims to analyze the impact of low-carbon orientation on green finance, clarify the intrinsic relationship between the two, and provide strategic recommendations for the development of low-carbon emission reduction finance in high pollution areas. To achieve the research objectives, this study used a random effects regression model and a spatial panel data model to conduct in-depth analysis of the carbon emission index in high pollution areas. …”
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Modelling and simulation of the block pouring construction system considering spatial–temporal conflict of construction machinery in arch dams by Zhipeng Liang, Jiayao Peng, Chunju Zhao, Huawei Zhou, Dongfeng Li, Yihong Zhou, Quan Liu, Xiaodong Li, Cheng Zhang, Fang Wang

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A spatially explicit containment modelling approach for escaped wildfires in a Mediterranean climate using machine learning by Gbenga Lawrence Alawode, Pere Joan Gelabert, Marcos Rodrigues

“…Effectively suppressing large wildfires requires a thorough understanding of containment opportunities across landscapes, to which empirical spatial modelling can contribute largely. The previous containment model in Catalonia failed to account for the crucial roles of weather conditions, lacked temporal prediction and could not forecast windows for containment opportunities, prompting this research. …”
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Analysis of the spatial pattern and causes of ecological environmental quality in Myanmar based on the RSEI model and the Geodetector-GCCM method by Shuangfu Shi, Shuangfu Shi, Shuangyun Peng, Shuangyun Peng, Zhiqiang Lin, Zhiqiang Lin, Bangmei Huang, Dongling Ma, Dongling Ma, Ziyi Zhu, Ziyi Zhu, Yilin Zhu, Yilin Zhu, Rui Zhang, Ting Li

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Topographic Position Index Predicts Within-Field Yield Variation in a Dryland Cereal Production System by Jacob A. Macdonald, David M. Barnard, Kyle R. Mankin, Grace L. Miner, Robert H. Erskine, David J. Poss, Sushant Mehan, Adam L. Mahood, Maysoon M. Mikha

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Mapping the covariate-adjusted spatial effects of childhood anemia in Ethiopia using a semi-parametric additive model by Seyifemickael Amare Yilema, Seyifemickael Amare Yilema, Yegnanew A. Shiferaw, Najmeh Nakhaeirad, Ding-Geng Chen, Ding-Geng Chen

“…Each predictor variable was spatially adjusted using non-parametric smoothing techniques based on geolocation parameters, and corresponding maps for each predictor.ResultsA regularized random forest techniques was employed to identify the most influential predictors of childhood anemia and enhance the model predictive performance. …”
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Spatial modelling of the shared impact of sexual health knowledge and modern contraceptive use among women with disabilities in Africa by Obasanjo Afolabi Bolarinwa, Clifford Odimegwu, Aliu Mohammed, Ezra Gayawan

“…Intrinsic Conditional Autoregressive (ICAR) priors modelled spatial dependencies between districts, introducing spatial autocorrelation based on shared boundaries. …”
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The Influence of Conformity and Global Learning on Social Systems of Cooperation: Agent-Based Models of the Spatial Prisoner’s Dilemma Game by Yunhwan Kim

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The Detachment of Function and the Return to Essence: Exploring the Public’s Emotional Attitudes Towards Gamified Education by Liwei Ding, Hongfeng Zhang, Tuxian Zuo

“…Gamified education, as an emerging educational model, is gradually transforming traditional learning methods and has sparked widespread public discussion about its effectiveness and potential. …”
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Spatial Analysis of Dust Storms in Iran based on Climatic and Vegetation Characteristics by Farzaneh Borzou, Hasan Zolfaghari, Jafar Masoompour Samakosh, Jalil Sahraei

“…The present study aims to identify and spatially analyze the sources of Iran dust storms by using the National Centers for Environmental Prediction (NCEP/DOE); European Centre for Medium-Range Weather Forecasts operational (ECMWF) ERA-Interim reanalysis datasets and the records of 52 synoptic stations from 1984 to 2016. …”
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Qualitative modification of geometrically oriented methods for constructing spatial curves in C3D FairCurveModeler by V. G. Mufteev, F. T. Ziganshina, V. I. Gumerov, R. I. Nabiev, G. M. Efimova

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Method for prediction magnetic silencing of uncertain energy-saturated extended technical objects in prolate spheroidal coordinate system by B. I. Kuznetsov, A. S. Kutsenko, T. B. Nikitina, I. V. Bovdui, K. V. Chunikhin, V. V. Kolomiets

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A meta-learning approach to improving transferability for freeway traffic crash risk prediction by Chenlei Liao, Xiqun (Michael) Chen

“…Due to the limited availability of crash data in some freeway sections, model transferability of crash risk prediction has become an essential topic in traffic safety research. …”
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Prediction of polar motion and UT1-UTC based on the hybrid EEMD_LSTM model by Chenxiang Wang, Pengfei Zhang, Wenbin Shen, Jiayao Wang

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Simulating Land Use and Evaluating Spatial Patterns in Wuhan Under Multiple Climate Scenarios: An Integrated SD-PLUS-FD Modeling Approach by Hao Yuan, Xinyu Li, Meichen Ding, Guoqiang Shen, Mengyuan Xu

“…Wuhan is selected as the case study area, with simulations conducted under three IPCC-aligned climate scenarios—SSP1-2.6, SSP2-4.5, and SSP5-8.5—to project land use changes by 2030. The SD model demonstrates robust predictive performance, with an overall error of less than ±5%, while the PLUS model achieves high spatial accuracy (average Kappa >0.7996; average overall accuracy >0.8856). …”
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Impact of wildfires on spatial and temporal evolution of groundwater recharge in an Atlantic pine forest: An integrated approach using field, remote sensing and modeling. by Mariana La Pasta Cordeiro, João Pedro Nunes, Maria Teresa Condesso de Melo

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GEOGRAPHICALLY WEIGHTED MACHINE LEARNING MODEL FOR ADDRESSING SPATIAL HETEROGENEITY OF PUBLIC HEALTH DEVELOPMENT INDEX IN JAVA ISLAND by Muhammad Azis Suprayogi, Bagus Sartono, Khairil Anwar Notodiputro

“…Our results show that the non-parametric GW-RF model shows high potential for explaining spatial heterogeneity and predicting PHDI versus a global model when including six major risk factors. …”
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Spatial analysis of G.f.fuscipes abundance in Uganda using Poisson and Zero-Inflated Poisson regression models. by Albert Mugenyi, Dennis Muhanguzi, Guy Hendrickx, Gaëlle Nicolas, Charles Waiswa, Steve Torr, Susan Christina Welburn, Peter M Atkinson

“…We finally used the Zero-Inflated Poisson (ZIP) regression model to predict tsetse abundance due to its superiority over the standard Poisson after model fitting and testing using the Vuong Non-Nested statistic.…”
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Investigating the impacts of telecommuting on the spatial, temporal, and modal distribution of travel using an agent-based transport simulation model by Bijoy Saha, Mahmudur Rahman Fatmi, Nazmul Arefin Khan

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