USING THE SLEUTH MODEL TO SIMULATE FUTURE URBAN GROWTH IN THE GREATER EASTERN ATTICA AREA, GREECE by Stylianos Mathioulakis, Yorgos N. Photis

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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 analysis of annual precipitation of Khuzestan province; An approach of spatial regressions analysis by Saeed balyani

“…In this research, for determine of precipitation model and predicting of it with geographical factors e.g. altitude, slope and view shade and latitude- longitude by using spatial regressions analysis such as ordinary least squares (OLS) and geographical weighted regressions(GWR), 13 synoptic stations of Khuzestan province from establishment to 2010 were used. …”
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Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging by Vijaya Bhaskar Sadu, Sathvik Bagam, Mohd Naved, Siva Krishna Reddy Andluru, Kamalakar Ramineni, Meshal Ghalib Alharbi, Sudhakar Sengan, Rahmaan Khadhar Moideen

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Evaluating Remote Sensing Resolutions and Machine Learning Methods for Biomass Yield Prediction in Northern Great Plains Pastures by Srinivasagan N. Subhashree, C. Igathinathane, John Hendrickson, David Archer, Mark Liebig, Jonathan Halvorson, Scott Kronberg, David Toledo, Kevin Sedivec

“…The developed methodology of RFE for feature selection and RF for biomass yield modeling is recommended for biomass and hay forage yield prediction.…”
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Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting by Yanhong Li, David C. Anastasiu

“…Additionally, MSEED incorporates a simple vanilla encoder-decoder model for strengthening rolling predictions. The framework has been tested on four challenging real-world datasets, focusing on two critical forecasting scenarios: long-term predictions (three days ahead) and rolling predictions (every four hours) to simulate real-time decision-making in water resource management. …”
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Spatial distribution of stillbirth and associated factors in Ethiopia: a spatial and multilevel analysis by Lemma Derseh Gezie, Getayeneh Antehunegn Tesema, Solomon Gedlu Nigatu

“…A total weighted sample of 11 375 women were included in the analysis. The Bernoulli model was fitted using SaTScan V.9.6 to identify hotspot areas and ArcGIS V.10.6 to explore the spatial distribution of stillbirth. …”
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Neural stem cell changes and spatial distribution of AQP4 expression in a fetal goat model of obstructive hydrocephalus by Xinting Ji, Qin Zhang, Yuantao Yang, Yan Li, Lihong Li, Shibin Lin, Qi Dong, Zhenling Wan, Julan Wu, Jiadong Bao, Xiaoman Su, Pengzhi Chen, Chenyuan Liu, Weian Song, Zechen Wang, Kang Feng, Xiaoying Li, Shaojiang Zheng, Shuo Gu

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Research of Spatial and Temporal Evolution Mechanism and Countermeasures of Haze Spatial Pattern in China: Visual Field Based on Dynamic Evolution and Spatial Agglomeration by Xin Tong, Xuesen Li, Lin Tong, Kai Chen

“…In this paper, spatial domain verification of the haze of dependence and the dynamic evolution process of the spatial panel data model was based on the estimation of different factors that influence on the horizon haze effect and spillover effect from the perspective of spatial economics. …”
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Enhancing proximal and remote sensing of soil organic carbon: A local modelling approach guided by spectral and spatial similarities by Qi Sun, Pu Shi

“…At large scale, increasing soil heterogeneity complicates the response relationship between soil spectra and SOC, making global models ineffective for local SOC predictions. Here, we propose a local learning approach that searches spectrally and spatially similar samples for site-specific SOC predictive modelling. …”
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Finite Element Model Fractional Steps Updating Strategy for Spatial Lattice Structures Based on Generalized Regression Neural Network by Caiwei Liu, Jijun Miao, Changyong Zhao

“…In order to get a more accurate finite element model of a spatial lattice structure with bolt-ball joints for health monitoring, a method of modifying the bolt-ball joint stiffness coefficient was proposed. …”
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Gaming & Geography (Education): A Model of Reflexive Analysis of Space & Action in Video Games by Michael Morawski, Sebastian Wolff-Seidel

“…Highlights: • Strengthening the discourse around video games as a geographic medium • Discussion of the model of reflexive spatial analysis of digital space in video games in geography education • Quantitative and qualitative empirical approaches and results towards spatial reflection regarding digital space/action in video games …”
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Digital Twin Framework for Bridge Slab Deterioration: From 2D Inspection Data to Predictive 3D Maintenance Modeling by Hyunhye Song, Kiyeol Kim, Jihun Shin, Gitae Roh, Changsu Shim

“…Based on this data, eight representative damage states were defined to support the prediction of the service life. The damage and repair history was embedded into the 3D bridge models using a unique coding system to enable temporal and spatial tracking. …”
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Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin by Jeffrey Huang, Simon Elias Bibri, Paul Keel

“…The LFM demonstrates its novelty in comprehensive urban modeling and analysis by completing impartial city data, estimating flow data in new locations, predicting the evolution of flow data, and offering a holistic understanding of urban dynamics and their interconnections. …”
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Developing a Framework for Spatial Effects of Smart Cities Based on Spatial Econometrics by Kongling Liu, Mengjun Wang, Jianchang Li, Jingjing Huang, Xuhui Huang, Shuhang Chen, Baoquan Cheng

“…It aims to (a) judge whether there is spatial autoregression in the construction of smart cities in 83 Chinese cities and (b) identify key influencing factors in the development of smart cities in China through a spatial econometric model developed by GeoDa software. …”
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An open-source and spatially diverse synthetic population dataset for agent-based modelling and microsimulation in IrelandZenodo/GitHub by Seán Caulfield Curley, Karl Mason, Patrick Mannion

“…Spatial microsimulations, where simulation units represent people or households in a small area, are extremely useful for modelling a wide range of socio-economic scenarios at a fine scale. …”
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Spatial distribution and determinants of unskilled birth attendance in Ethiopia: spatial and multilevel analysis by Gizaw Sisay Belay, Tsion Mulat Tebeje

“…In the multilevel multivariable logistic regression model; women in age group (25–34), women attained primary and above educational level, women in the middle and richest household wealth status, mass media exposure, ANC visits, region, place of residence and health insurance coverage were significantly associated with unskilled birth attendance. …”
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Downscaling livestock census data using multivariate predictive models: Sensitivity to modifiable areal unit problem. by Daniele Da Re, Marius Gilbert, Celia Chaiban, Pierre Bourguignon, Weerapong Thanapongtharm, Timothy P Robinson, Sophie O Vanwambeke

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Research on model predictive control strategy of three-level dual-active bridge DC-DC converter by Junrui Wang, Lu Tan, Jin Li, Changjiang Ji

“…Through the switching conduction mode of the three-level DAB converter, the working conditions of the inductor current in each mode are analyzed, and the range of zero-voltage turn-on of all switches of the three-level DAB under single phase shift (SPS) modulation is derived. The spatial equation of state is established according to each mode, the purpose of fast response is achieved through the cost function, and finally the predictive control strategy of the three-level DAB model with zero voltage turn-on is obtained discretically. …”
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Enhancing stability and safety: A novel multi‐constraint model predictive control approach for forklift trajectory by Yizhen Sun, Junyou Yang, Donghui Zhao, Moses Chukwuka Okonkwo, Jianmin Zhang, Shuoyu Wang, Yang Liu

“…The kinematic model for a single front steering‐wheel forklift vehicle is constructed with all known state quantities, including the steering angle, resulting in a more accurate model description and trajectory prediction. …”
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