Perceptions of spatial patterns of visitors in urban green spaces for the sustainability of smart city by Qi Liu, Li Hou, Sana Shaukat, Usman Tariq, Rabia Riaz, Sanam Shahla Rizvi

“…We evaluated the association with statistical testing and Kernel Density Estimation among the spatial pattern of the visitor spread in urban green areas. …”
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Temporal and Spatial Evolution of Public–Private Partnership (PPP) Project Risks in China: 2003–2019 by Yanwei Wang, Lili Gong, Shanfeng Zheng, Xiaoqing Han, Jiajin Zhang, Yi Huang

“…Then the spatial variation, standard deviation ellipse, and gray dynamic model were used to analyze the spatial–temporal dynamic evolution characteristics of the risk level of PPP projects from 2003 to 2019 and to make reasonable predictions of the future spatial distribution pattern. …”
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GNSTAM: Integrating Graph Networks With Spatial and Temporal Signature Analysis for Enhanced Android Malware Detection by Yogesh Kumar Sharma, Deepak Singh Tomar, R. K. Pateriya, Surendra Solanki

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Three-medical linkage in China: trend evolution and obstacle identification by Lingyun Guo, Fanyi Kong, Liangru Zhou, Ruojun Xiang, Kexin Zhang, Yufei Su, Qiuying Zheng, Ruifeng Li

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Study on the spatial and temporal differentiation of intangible cultural heritage and its influencing factors in Shandong province by Linliang Zou, Pengfei Tai, Xinchun Wang, Junjie Jiao, Yingtian Wang

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Spatial and spatio-temporal analysis of cancer mortality in Iran: gender disparities and implications for health policy by Alireza Zangeneh, Arash Ziapour, Seyede Negin Hoseini, Babak Nazari, Homa Molavi, Farid Najafi, Ardeshir Khosravi, Reza Heidari Moghadam

“…Objectives: Cancer mortality, particularly for gender-specific cancers, has increased in Iran and other developing countries, highlighting notable disparities in regional trends and patterns. This study examines geographical and temporal trends in cancer mortality from 2017 to 2019. …”
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Spatial–Temporal Evolution of Ecological Network Structure During 1967–2021 in Yongding River Floodplain by Junyi Su, Minghao Wu, Zhicheng Liu

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Spatial and Temporal Variation Characteristics of Air Pollutants in Coastal Areas of China: From Satellite Perspective by Xinrong Yan, Juanle Wang, Fang Wu, Jing Bai, Xun Zhang, Guiping Li, Haibo Fei

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Waterhole use and diel activity pattern of ocelots in Calakmul rainforest, Mexico by Elisa Sandoval-Serés, Khiavett Sánchez-Pinzón, Rafael Reyna-Hurtado

“… We aimed to evaluate the temporal and spatial use of waterholes by ocelots in Calakmul Biosphere Reserve (CBR), Mexico. …”
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Digital Economy Development and Urban–Rural Integration in Northeast China: An Empirical Analysis by Shibo Gao, Jing Zhang, Zuopeng Ma, Guolei Zhou, Yanjun Liu, Yuliang Liu

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Geographically and Temporally Weighted Regression Modeling in Analyzing Factors Affecting the Spread of Dengue Fever in Malang by Fahmi Indrayani, Henny Pramoedyo, Atiek Iriany

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Spatiotemporal Epidemiology of Lumpy Skin Disease and Evaluation of the Heterologous Goatpox Vaccine: Insights into Immunogenicity and Impact by Manjunatha Reddy Gundallahalli Bayyappa, Sai Mounica Pabbineedi, Sudeep Nagaraj, Shraddha Bijalwan, Sunil Tadakod, Chandana Ramesh Uma, Sanjay Pawar, Pathan Yahaya Khan, Vijay Kumar Teotia, Baldev Raj Gulati

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Spatial and Temporal Distribution Characteristics of Carbon Storage in Handan City Based on PLUS and InVEST Models by Zhang Peng, Li Liangtao, Su Yujiao, Wang Qingtao, Han Hongying, Han Hongwei, Li Xiaojing

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Gaitformer: a spatial-temporal attention-enhanced network without softmax for Parkinson’s disease early detection by Shupei Jiao, Hua Huo, Wei Liu, Changwei Zhao, Lan Ma, Jinxuan Wang, Ningya Xu, Chen Zhang, Dongfang Li

“…In this paper, we focus primarily on analyzing the gait features of a large population and emphasize the study of representative features of gait in terms of both temporal and spatial dimensions. By analyzing parameters such as pressure distribution, gait cycles, and gait features of the foot sole, we aim to evaluate an individual’s gait function and detect and diagnose gait-related diseases such as Parkinson’s disease. …”
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Implications of Tropical Cyclone Rainfall Spatial–Temporal Variability on Flood Hazard Assessments in the Caribbean Lesser Antilles by Catherine Nabukulu, Victor. G. Jetten, Janneke Ettema

“…In this study, we apply the tool to evaluate rainfall patterns and flood hazards in St. …”
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Spatial-temporal Variation of Water Yield in Nanbei Panjiang River Basin Based on InVEST Model by Wu Tangyin, Zhou Zhongfa, Zhang Lu, Chen Quan, Luo Dan, Wu Lan

“…The overall water yield pattern was spatially consistent with the spatial and temporal changes of precipitation. …”
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Spatial and Temporal Dynamics of Water Conservation in Xiangjiang River Basin Based on ANUSPLIN and InVEST Model by GUO Binbin, LIU Yuxin

“…This study evaluated the simulation results of the Xiangjiang River basin at different spatial and temporal scales from 1991 to 2020 based on the ANUSPLIN interpolation precipitation data and the InVEST model and explored the spatial and temporal dynamics of water conservation within the basin. …”
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Spatial and Temporal Dynamics of Water Conservation in Xiangjiang River Basin Based on ANUSPLIN and InVEST Model by GUO Binbin, LIU Yuxin

“…This study evaluated the simulation results of the Xiangjiang River Basin at different spatial and temporal scales from 1991 to 2020 based on the ANUSPLIN interpolation precipitation data and the InVEST model and explored the spatial and temporal dynamics of water conservation within the basin. …”
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STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS by Jayakrishnan Anandakrishnan, Venkatesan Meenkaski Sundaram, Prabhavathy Paneer

“…The spectral spatial feature mapper (SSFM), mixed parallel spatial attention (MPSA), and spatio-temporal attention mapper (STAM) modules of the STA-AgriNet extract key classification-defining, discriminative patterns for semantic segmentation. …”
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Acquisition of Crop Spatial Patterns Based on Remote Sensing Data from Sentinel-2 Satellite by Yinan Wang, Kai Guo, Xiangbing Kong, Jintao Zhao, Buhui Chang, Chunjing Zhao, Fengying Jin

“…The results indicate the following: (1) the proposed method enhances crop identification capabilities; (2) an accuracy evaluation against the data from the Third National Land Resource Survey and provincial statistical yearbook data for 2022 demonstrates extraction accuracy exceeding 90%; and (3) an analysis of the crop spatial patterns in 2022 reveals that <i>wheat</i> and <i>corn</i> are the predominant crops in Henan and Shaanxi provinces, covering 74.42% and 62.32% of the total crop area, respectively. …”
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