How flexible transportation services work in reality?- some insights from real-world observations by Ran Du, Fumitaka Kurauchi, Toshiyuki Nakamura, Masahiro Kuwahara

“…Additionally, it is suggested that minimizing total operational costs may not adequately assign travelers onto vehicles, and the implementation of monthly passes may further reinforce the dominance of high-frequency travelers.These insights underscore the importance of considering service designs from various dimensions, including user behavior, spatial factors, and temporal patterns, for the effective optimization of flexible transport systems.…”
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Extreme high temperatures and heatwave events across Europe in 2023 by Yuqing Sun, Gensuo Jia, Xiyan Xu

“…Here, we investigated the spatial patterns and seasonal evolution of heatwaves over Europe in 2023. …”
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Noise Pollution Prediction in a Densely Populated City Using a Spatio-Temporal Deep Learning Approach by Marc Semper, Manuel Curado, Jose Luis Oliver, Jose F. Vicent

“…Each technique contributes specific strengths to the modeling of spatiotemporal series: CNNs are effective at capturing local spatial patterns, while LSTM networks excel at modeling long-term temporal dependencies. …”
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Mapping the risk of Rift Valley fever in Uganda using national seroprevalence data from cattle, sheep and goats. by Dan Tumusiime, Emmanuel Isingoma, Optato B Tashoroora, Deo B Ndumu, Milton Bahati, Noelina Nantima, Denis Rwabiita Mugizi, Christine Jost, Bernard Bett

“…The disease has a complex and poorly described transmission patterns which involves several mosquito vectors and mammalian hosts (including humans). …”
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Cross-regional sample generation based on Cropland Data Layer for large-scale winter wheat mapping: A case study of Huang-Huai-Hai Plain, China by Man Liu, Wei He, Hongyan Zhang

“…Currently, several countries have published long-term land-cover products that offer dependable accuracy and comprehensive spatial distribution information of crops. Given that crops within similar latitudinal ranges exhibit analogous temporal growth patterns, we propose a Cross-Regional Sample Generation (CrossRS) method utilizing the Cropland Data Layer and time-series images. …”
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Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images by Amit Kumar Chanchal, Shyam Lal, Shilpa Suresh

“…Cross-channel features refer to the relationships and dependencies between different data channels, while inter-spatial features refer to patterns within small spatial regions. …”
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The use of camera traps to study the hooded skunk Mephitismacroura (Carnivora: Mephitidae) abundance by Miguel Briones-Salas, Dagoberto Ramos-Méndez, Mario C. Lavariega, Alina Gabriela Monroy-Gamboa

“…Based on pelage color patterns and specific characteristics, we identified 25 individuals (seven to twelve skunks per season). …”
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Increases in vegetation cover increase response more to climate change than to human activities in the Baiyangdian watershed by Jiashan Gao, Jianying Yang

“…Baiyangdian watershed is located in the upstream of Xiongan New Area, and as an important ecological source of the new area, its vegetation cover status has an important impact on the environmental quality and ecological health of the new area. By analysing the spatial and temporal characteristics of vegetation cover in the Baiyangdian watershed, we investigated the response of climate change and human activities to vegetation cover, and revealed the evolution patterns and driving mechanisms of vegetation cover under changing environments. …”
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Identification of Inequities in Green Visibility and Ways to Increase Greenery in Neighborhoods: A Case Study of Wuhan, China by Xiaohua Guo, Chang Liu, Shibo Bi, Yuling Tang

“…Despite a gradual reduction in disparities in green visibility, a spatial mismatch persisted between UGS growth and population distribution, leading to uneven patterns in UGS equity. …”
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Prevention and Control Strategies for Rainwater and Flood Disasters in Traditional Villages: A Concentrated Contiguous Zone Approach by Xiao Lv, Hongyi Lin, Zhe Chen

“…The methodology further establishes cross-village collaborative defense mechanisms under a “conservation–development–protection” paradigm, aligning administrative boundaries with spatial agglomeration patterns. The study establishes a hierarchical disaster prevention evaluation system and a regional technical pathway to bridge individual and cluster-level protection. …”
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Evaluation of risk-based antigen and antibody surveillance strategies and their association with HPAI outbreaks in South Korean duck farms by Saleem Ahmad, Dae Sung Yoo

“…Testing frequencies and intervals were assessed across high-risk (October–May) and low-risk (June–September) periods, as well as during non-epidemic (2019–2020) and epidemic (2020–2021 and 2021–2022) seasons. Spatial hotspot analysis (Getis-Ord Gi*) and negative binomial regression were applied to evaluate associations between test patterns and HPAI outbreak occurrence. …”
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Analysis of the Spatio-Temporal Evolution Characteristics and Influencing Factors of Habitat Quality in Hubei Province over the Past Three Decades by Jie Miao, Huiqiong Xia, Fu Li, Jialin Yang

“…The results of the study have provided a reference for habitat quality assessment in other regions, especially in the process of analyzing the spatial and temporal evolution patterns of habitat quality in different regions and under different ecosystem types, which has provided more reference for ecological protection.…”
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Use of the TPI and TWI Methods for Identifying Karst Dolines in Purwosari District, Gunungkidul Regency, Indonesia by Astrid Damayanti, Muhammad Fauzan Akmal Hidayat, Riza Putera Syamsuddin, Diko Hary Adhanto

“…Data for the study were derived from a digital elevation model (DEM), more scalable and accessible elevation data, to generate the Topographic Position Index (TPI) and Topographic Wetness Index for analysing doline spatial patterns, their terrain shapes, their types (dry or watery), and morphometry. …”
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Motor Imagery EEG Classification Based on Multi-Domain Feature Rotation and Stacking Ensemble by Xianglong Zhu, Ming Meng, Zewen Yan, Zhizeng Luo

“…Conclusions: Experimental results show that the method proposed in this paper outperforms several existing MI classification methods, such as the Common Time-Frequency-Spatial Patterns and the Selective Extract of the Multi-View Time-Frequency Decomposed Spatial, in terms of classification accuracy and robustness.…”
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An Adaptive Spatio-Temporal Traffic Flow Prediction Using Self-Attention and Multi-Graph Networks by Basma Alsehaimi, Ohoud Alzamzami, Nahed Alowidi, Manar Ali

“…Capturing complex and dynamic spatio-temporal patterns within traffic data remains a significant challenge for traffic flow prediction. …”
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Topographic indices and ERA5-Land data to describe soil moisture variability in a Central European beech forest by Marian Schönauer, Stephen B. Asabere, Daniela Sauer, Simon Drollinger

“…Field data were merged with ERA5-Land reanalysis and topographic indices, including depth-to-water and topographic position indices, to assess their performance in predicting soil water content spatial patterns. New hydrological insights for the region: Temporal variation exceeded spatial variation by 3.60–3.68 times. …”
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A hybrid deep learning framework for early detection of diabetic retinopathy using retinal fundus images by Mishmala Sushith, A. Sathiya, V. Kalaipoonguzhali, V. Sathya

“…The benchmark datasets provide a diverse set of annotated retinal images and the proposed hybrid model employs a CNN to extract spatial features from retinal images. The spatial feature extraction is enhanced by multi-scale feature extraction to capture fine details and broader patterns. …”
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Triggering mechanics and early warning for snowmelt-rainfall-induced loess landslide by Kaidierding Wulamu, Zizhao Zhang, Qianli Lv, Guangming Shi, Yanyang Zhang, Shichuan Liang

“…Additionally, the study explores the landslide disaster patterns and early warning indicators for the Kalahaisu landslide. …”
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A remote monitoring approach for coastal engineering projects by C. Cabezas-Rabadán, J. E. Pardo-Pascual, J. Palomar-Vázquez, A. Cooper

“…The waterline positions are then compiled, differences over time are quantified, and a matrix is constructed that allows easy depiction and interpretation of spatial and temporal patterns of erosion/accretion. …”
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Drivers Influencing on the self-organization of villagers and improving sustainable rural livelihoods Ashtian County by Naser Shafieisabet, Masoudeh Nikoeifard, Neginsadat Mirvahedi

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