Assessment of Urban Flood Resilience Under a Novel Framework and Method: A Case Study of the Taihu Lake Basin by Kaidong Lu, Yong Liu, Yintang Wang, Tingting Cui, Jiaxing Zhong, Zijiang Zhou, Xiaoping Gao

“…Spanning 1999–2020, the analysis reveals three key insights: (1) weight allocation via GTCWM identifies defense capacity (0.224) and hazard (0.224) as dominant dimensions, with drainage pipeline density (0.091), flood-season precipitation (0.087), and medical capacity (0.085) ranking as the top three weighted indicators; (2) temporal trends show an overall upward trajectory in UFR, interrupted by a sharp decline in 2011 due to extreme hazard events, with Shanghai and Hangzhou exhibiting the highest UFR levels, contrasting Zhenjiang’s persistently low UFR; (3) spatial patterns reveal stronger UFR in southern and eastern areas and weaker resilience in northern and western regions. …”
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Disaster Resilience Evaluation of Mountainous Rural Communities: A Case Study of Representative Villages in the Anning River Basin, Liangshan Prefecture by Wu Yuanfei, Liu Mengying, Tian Bingwei, Tian Renjie, Hu Yifan

“…Focusing on four representative communities (Taoyuan, Caogu, Niulang, and Qunying) in the Anning River Basin of Liangshan Prefecture, Sichuan Province, China, a combination of field surveys, GIS spatial analysis, and multi-source datasets were used to empirically evaluate community resilience. …”
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Mapping Gridded GDP Distribution of China Based on Remote Sensing Data and Machine Learning Methods by Saimiao Liu, Wenliang Liu, Yi Zhou, Shixin Wang, Futao Wang, Zhenqing Wang

“…Consequently, both methods are combined to construct the overall GDP spatialization model. (3) The accuracy of the GDP spatialization results is evaluated based on town-level GDP statistics, with an <i>R</i>² value of 0.78, indicating its reliable predictive capability. (4) Compared with publicly available GDP datasets, our dataset exhibits consistent spatial distribution patterns and aggregation trends. …”
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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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Process and Correlation Between Ecosystem Services Value and Ecological Risk in River Basin by Jiang Weifeng, Xu Yan, Li Donghua, Bi Shanshan, Li Qian, Lu Lin

“…[Objective] The spatio-temporal pattern and interrelationship between the value of ecosystem services and ecological risks in river basins were analyzed in order to ensure healthy and sustainable development of ecosystems, maintain regional ecosystem balance, and promote the coordinated development of human-land relationships. …”
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Evaluation of the coordinated development of health resources, health service utilization, and the regional economy in China and analysis of influencing factors by Lina Shao, Zhonghua Suo, Shasha Song, Ying Lang

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Evaluation of water supply function in the Economic Belt of the Northern Slope of the Tianshan Mountains based on the InVEST model by Wei Liu, Hao Tian, Xingang Xu, Guang Yang

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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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Design, development, and evaluation of a low-cost smart solar-powered weather station for use in agricultural environments by Hamed Mokhtarzadeh, Shiva Gorjian, Saeid Minaei

“…Understanding climatic conditions is crucial for various scientific disciplines and practical applications, especially in tropical regions where weather patterns exhibit considerable spatial and temporal variability. …”
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Evaluation of Land Suitability for Construction in the Turpan–Hami Region Based on the Integration of the MaxEnt Model and Regional Planning by Guangpeng Zhang, Li Zhang, Alim Samat, Yin Wu, Wa Cao, Kaiyue Luo

“…This study integrates the MaxEnt model with regional planning to conduct a multi-period evaluation of the construction land suitability in the Turpan–Hami region, aiming to elucidate the distribution patterns of suitability and their driving mechanisms across different historical periods. …”
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Evaluation of remote sensing soil moisture data products with a new approach to analyse footprint mismatch with in-situ measurements by Qiuxia Xie, Li Jia, Massimo Menenti, Qiting Chen, Jingxue Bi, Yonghui Chen, Chunmei Wang, Xinju Yu

“…Results revealed significant spatial variability and seasonal patterns in SSM, as indicated by the CV values and temporal evaluations at different resampling scales. …”
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Retrospective trend analysis of biocides in suspended particulate matter of major German rivers by Georg Dierkes, Susanne Schmidt, Christiane Meier, Korinna Ziegler, Jan Koschorreck, Arne Wick

“…Monitoring data on the spatial distribution and temporal trends are needed to evaluate potential risks and the effectiveness of mitigation measures, but these are scarce for biocides in aquatic environments. …”
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Evaluating spatiotemporal dynamics of snakebite in Sri Lanka: Monthly incidence mapping from a national representative survey sample. by Dileepa Senajith Ediriweera, Anuradhani Kasthuriratne, Arunasalam Pathmeswaran, Nipul Kithsiri Gunawardene, Shaluka Francis Jayamanne, Kris Murray, Takuya Iwamura, Geoffrey Isbister, Andrew Dawson, David Griffith Lalloo, Hithanadura Janaka de Silva, Peter John Diggle

“…<h4>Background</h4>Snakebite incidence shows both spatial and temporal variation. However, no study has evaluated spatiotemporal patterns of snakebites across a country or region in detail. …”
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A comparison of floating catchment area parameters with applications to a dataset of clinics enrolled in a statewide child and adolescent psychiatric consultation program by Jocelyn Hunyadi, Jocelyn Hunyadi, Lara S. Savas, Kehe Zhang, Kehe Zhang, Jeanette E. Deason, Ryan Ramphul, Melissa F. Peskin, Erica L. Frost, Cici Bauer, Cici Bauer

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Comparative evaluation of spatiotemporal methods for effective dengue cluster detection with a case study of national surveillance data in Thailand by Chawarat Rotejanaprasert, Kawin Chinpong, Andrew B. Lawson, Richard J. Maude

“…A simulation study explored diverse disease scenarios, characterized by varying magnitudes and spatial-temporal patterns, while real data analysis utilized monthly national dengue surveillance data from 2018 to 2020. …”
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Spatiotemporal Evolution and Obstacle Factor Analysis of Land Ecological Security in the Surrounding Areas of Beijing, China by Yutong Wang, Jianyu Yang

“…Using Natural Breaks classification and hotspot and coldspot analysis, the study explores the temporal trends and spatial patterns of land ecological security. …”
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Evaluation of Air Quality Model Performance for Simulating Long-Range Transport and Local Pollution of PM2.5 in Japan by Hikari Shimadera, Tatsuya Kojima, Akira Kondo

“…CMAQ well simulated temporal and spatial variation patterns of PM2.5 but underestimated the concentration level by 15% on average. …”
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Evaluation of the Extreme Precipitation and Runoff Flow Characteristics in a Semiarid Sub-Basin Based on Three Satellite Precipitation Products by Rosalía López Barraza, María Teresa Alarcón Herrera, Ana Elizabeth Marín Celestino, Armando Daniel Blanco Jáquez, Diego Armando Martínez Cruz

“…As a result, they serve as a useful resource in evaluating the intensity of climate change in the region, particularly in terms of precipitation patterns. …”
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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…Static features, including farmland distribution and soil types, are extracted using Convolutional Neural Networks, while temporal trends in variables such as weather patterns and policy changes are captured by the Long Short-Term Memory network. …”
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Landslide Susceptibility Prediction Based on a CNN–LSTM–SAM–Attention Hybrid Model by Honggang Wu, Jiabi Niu, Yongqiang Li, Yinsheng Wang, Daohong Qiu

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