Deep Learning-Emerged Grid Cells-Based Bio-Inspired Navigation in Robotics by Arturs Simkuns, Rodions Saltanovs, Maksims Ivanovs, Roberts Kadikis

“…After training, the network’s units exhibited spatially periodic and hexagonal activation patterns characteristic of biological grid cells, as well as responses resembling border cells and head-direction cells. …”
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A comparative study of multivariate CNN, BiLSTM and hybrid CNN–BiLSTM models for forecasting foreign exchange rate using deep learning by Elysee Nsengiyumva, Joseph K. Mung’atu, Charles Ruranga

“…While CNN effectively captures spatial patterns, it struggles with temporal dependencies, and BiLSTM, despite excelling in sequential data analysis, lacks spatial integration. …”
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Are Agroecosystem Services Under Threat? Examining the Influence of Climate Externalities on Ecosystem Stability by Temidayo Olowoyeye, Gideon Abegunrin, Mariusz Sojka

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The Demographic Challenge Analyzed Through Ageing Indices in Extremadura and Andalusia (Spain) with Cluster Mapping Tools by José-Manuel Sánchez-Martín, José-Luis Gurría-Gascón, Juan-Ignacio Rengifo-Gallego

“…Based on the observation of growing demographic pressure associated with low birth rates and emigration to more economically dynamic areas, a methodological approach based on spatial analysis techniques is proposed. In particular, the ageing index and demographic dependency ratio indicators are used, applying tools such as Hot Spot Analysis and Cluster and Outlier Analysis to identify significant spatial patterns and outliers. …”
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COVID-19 global risk evaluation: rankings, reducing surveillance bias, and infodemic by Michał P. Michalak, Elżbieta Węglińska, Agnieszka Kulawik, Jack Cordes, Michał Lupa, Andrzej Leśniak

“…Integrating testing data with case counts can improve the accuracy of regional infection probability estimates. Spatial analysis revealed that probabilistic metrics—such as the local probability of infection—showed stronger spatial synchronization of epidemic patterns compared to observed-to-expected case ratios. …”
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Application of GIS Technologies in Tourism Planning and Sustainable Development: A Case Study of Gelnica by Marieta Šoltésová, Barbora Iannaccone, Ľubomír Štrba, Csaba Sidor

“…The findings reveal critical spatial patterns and tourism dynamics, identifying high-demand zones and underutilised locations. …”
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Normalized rupture potential for small and large earthquakes along the Pacific Plate off Japan by Thessa Tormann, Stefan Wiemer, Bogdan Enescu, Jochen Woessner

“…For the Pacific Plate off Japan, we study both complex spatial patterns and how they evolve over the last 18 years, and more detailed temporal characteristics in a simplified spatial selection, i.e., inside and outside the high‐slip zone of the 2011 M9 Tohoku earthquake. …”
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2D Spatiotemporal Hypergraph Convolution Network for Dynamic OD Traffic Flow Prediction by Cheng Fang, Li Wang

“…Subsequently, a 2D hypergraph convolutional network is introduced to uncover spatial correlations in OD flow patterns. The unique aspect of our 2D-HGCN lies in its dynamic hypergraph, which evolves over time, enabling the model to adaptively learn changing spatial dependencies. …”
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Short-Term Passenger Flow Prediction Based on Federated Learning on the Urban Metro System by Guowen Dai, Jinjun Tang, Jie Zeng, Yuting Jiang

“…The CNN is employed to extract spatial patterns, such as passenger correlations between adjacent stations, while the BIGRU captures bidirectional temporal dynamics, including peak-hour evolution. …”
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GIS-based longitudinal analysis of female education and domestic violence in India by Sadiya, Iffat, Hasan, Iqra

“…The aim of this study is to examine the correlation between female education levels and the incidence of domestic violence over time, with the objective of visualizing spatial patterns and emerging trends in India. A mixed-method approach was employed, incorporating both quantitative and qualitative data. …”
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The relationship between visitors' motivation and landscape preference for the pilgrimage route on the Mount Miaofeng, China. by Meijing Xu, Jianjiao Liu, Ru Wang, Shan Lu, Feng Xu

“…Visitors motivated by different purposes showed different patterns of preferences for landscapes which are in consistent with their travel motivations. …”
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Does discontinuous Mesoscale Convective System produce stronger precipitation? by Aoqi Zhang, Yilun Chen

“…Discontinuous types exhibit consistent spatial patterns relative to continuous MCSs, despite intensity hierarchy (merging > complex > splitting). …”
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DCFE-YOLO: A novel fabric defect detection method. by Lei Zhou, Bingya Ma, Yanyan Dong, Zhewen Yin, Fan Lu

“…However, the task of fabric defect detection remains highly challenging due to the complex textures and diverse defect patterns. To address the issues of inaccurate localization and false positives caused by complex textures and varying defect sizes, this paper proposes an improved YOLOv8-based fabric defect detection method. …”
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Intra-Site Variability in the Still Bay Fauna at Blombos Cave: Implications for Explanatory Models of the Middle Stone Age Cultural and Technological Evolution. by Emmanuel Discamps, Christopher Stuart Henshilwood

“…Analyses of taxonomic composition, taphonomic alterations and combustion patterns reveal important faunal variability both across space (lateral variation in the post-depositional history of the deposits, spatial organisation of combustion features) and over time (fine-scale diachronic changes throughout a single phase). …”
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Prediction of land cover changes in an Urban City of Bangladesh using artificial neural network-based cellular automata by Tania Yeasmin, Sourav Karmaker, Md Shafiqul Islam, Irteja Hasan, Saifur Rahman, Mahmudul Hasan

“…The methodology was designed to overcome limitations in traditional land use and land cover change modeling, including low accuracy, computational inefficiency, and limited adaptability to complex spatial patterns. The study revealed that the rate of built-up area increased significantly over 40 years while barren land and agricultural land decreased drastically. …”
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Multi-scale comparison of the formation mechanisms in landscape genes of traditional villages by Chao Yu, Zhiyuan Zhou, Junbo Gao, Xiangmin Zhang, Qian Zheng, Zhengbing Liu, Zhifei Ma, Weichun He, Suping Wen

“…Abstract The relationship between traditional village landscape genes and the geographical environment is closely intertwined, exhibiting notable spatial differences and cultural characteristics during scale transformations. …”
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Multiscale Spatio-Temporal Attention Network for Sea Surface Temperature Prediction by Zhenxiang Bai, Zhengya Sun, Bojie Fan, An-An Liu, Zhiqiang Wei, Bo Yin

“…For each scale, MUSTAN introduces temporal attention to characterize dynamic SST patterns in different ocean regions, and spatial attention to capture intricate SST evolution interplay among these regions. …”
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Multiple estimates of transmissibility for the 2009 influenza pandemic based on influenza-like-illness data from small US military populations. by Pete Riley, Michal Ben-Nun, Richard Armenta, Jon A Linker, Angela A Eick, Jose L Sanchez, Dylan George, David P Bacon, Steven Riley

“…We used publicly available data from non-military sources to show that patterns of ILI incidence in many of these MPZs closely followed the pattern of their enclosing civilian population. …”
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Ada-GCNLSTM: An adaptive urban crime spatiotemporal prediction model by Miaoxuan Shan, Chunlin Ye, Peng Chen, Shufan Peng

“…A major challenge in achieving accurate predictions lies in identifying generalized patterns of criminal behavior from spatiotemporal features in crime data. …”
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Coupling Relationship Between Transportation Corridors and Ecosystem Service Value Realization in Giant Panda National Park by Lulin Liu, Renna Du, Qian Mao, Gaoru Zhu, Hong Zhong

“…This research employs the TOPSIS method to measure the development level of TCs, applies the equivalent factor method to calculate the ESV, and uses a coupling coordination model and local spatial autocorrelation analysis to evaluate their interaction patterns. …”
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