Vegetation Quality Assessment of the Shaanxi Section of the Yellow River Basin Based on NDVI and Rain-Use Efficiency by Zhao Liu, Danyue Wang, Lei Han, Hongliang Kang, Xinxin Cao

“…The results show the following: (1) The precipitation in the study area showed a spatial distribution pattern of more in the south and less in the north, in which Yulin City had the lowest precipitation overall, but it was an area with significant increasing precipitation. (2) The NDVI value of the Shaanxi section of the Yellow River Basin showed an overall upward trend from 2000 to 2019, with a growth rate of 0.327/10a. …”
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A Multi-Dimensional Evaluation of Street Vitality in a Historic Neighborhood Using Multi-Source Geo-Data: A Case Study of Shuitingmen, Quzhou by Guoquan Zheng, Lingli Ding, Jiehui Zheng

“…The results reveal that (1) comprehensive evaluation corrects the bias of single indicators and highlights the value of integrated assessment; (2) vitality is higher on rest days than on weekdays, with clear temporal patterns and two types of daily fluctuation trends—similar and differential; and (3) vitality levels are spatially uneven, with higher vitality in central and western areas and lower performance in the southeast, often related to low accessibility and functional monotony. …”
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A comparative study on walking accessibility of high-speed railway station areas in China and Japan based on analytic hierarchy process -- Beijing station and Osaka station as exam... by Wangyang Gui, Tong Zhang, Dingyu Cui

“…The results indicate that: 1) Osaka Station space is much more walkable than Beijing Station in all circles; 2) The spatial development within the Beijing Station Station Circle is uneven, and the degree of pedestrian accessibility decreases as the circle’s extent increases; 3)Different station spaces have their own advantages and disadvantages in terms of the distribution of public facilities and amenities, roadway attributes, pedestrian path characteristics, depending on their respective national conditions and station development patterns.…”
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Response of Ecosystem Services to Human Activities in Gonghe Basin of the Qinghai–Tibetan Plateau by Ailing Sun, Haifeng Zhang, Xingsheng Xia, Xiaofan Ma, Yanqin Wang, Qiong Chen, Duqiu Fei, Yaozhong Pan

“…The results demonstrate that: From 2000 to 2020, the HAI in the Gonghe Basin mainly reflected low-intensity HA, although the spatial range of HAI continued to expand. Single plantation and town construction activities exhibited high-intensity areas that spread along the northwest-southeast axis; composite activities such as tourism services and energy development showed medium-intensity areas of local growth, while the environmental supervision activity maintained a low-intensity wide-area distribution pattern. …”
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Assessing Terrain Effect on Evapotranspiration Using the SEBAL Model in Mountainous Regions by Wei Fu, Bo-Hui Tang, Xianguang Ma, Xinming Zhu, Yingyun Li, Lijia Cheng

“…Terrain effects on ET can be generalized as follows: spatial distributions of daily ET exhibit a bimodal pattern with increasing altitude, with ET peaks occurring at 2900–3200 and 3500–3800 m, respectively. …”
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Evaluation of China’s rural resource and environmental carrying capacity based on the ZI–CI–GI framework by Zhiyuan Ma, Xuejun Duan, Lei Wang, Yazhu Wang, Wei Yan, Haiyue Wang, Xiayi Ju

“…The carrying capacity exhibits a spatial pattern of higher capacity in the east and south, with significant spatial clustering. …”
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Feature pyramid attention network for audio‐visual scene classification by Liguang Zhou, Yuhongze Zhou, Xiaonan Qi, Junjie Hu, Tin Lun Lam, Yangsheng Xu

“…Abstract Audio‐visual scene classification (AVSC) poses a formidable challenge owing to the intricate spatial‐temporal relationships exhibited by audio‐visual signals, coupled with the complex spatial patterns of objects and textures found in visual images. …”
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Machine Learning Traffic Flow Prediction Models for Smart and Sustainable Traffic Management by Rusul Abduljabbar, Hussein Dia, Sohani Liyanage

“…This study contributes to this objective by developing and evaluating advanced machine learning models that leverage multisource data to predict traffic patterns more effectively, allowing for the deployment of proactive measures to prevent or reduce traffic congestion and idling times, leading to enhanced eco-friendly mobility. …”
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A Robot Error Prediction and Compensation Method Using Joint Weights Optimization Within Configuration Space by Fantong Meng, Jinhua Wei, Qianyi Feng, Zhigang Dong, Renke Kang, Dongming Guo, Jiankun Yang

“…To enhance robot positioning accuracy, one crucial approach is to analyze the distribution patterns of robot errors and leverage spatial similarity for error prediction and compensation. …”
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Long-Term Annual Changes in Agricultural Carbon Footprints and Associated Driving Factors in China from 2000 to 2020 by Xingyuan Xiao, Xuanming Hu, Yaqun Liu, Changhe Lu

“…Both the TCF and the FCF showed spatial heterogeneity, with high values in the east and low values in the west, and the spatial clustering of the TCF and its components has weakened over time. …”
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Structure and driving factors of tourism information flow networks within urban agglomerations: A case study of six major coastal urban agglomerations in eastern China by DI Qianbin, JIA Wenhan, CHEN Xiaolong

“…Their characteristics and patterns of tourism information flow from 2012 to 2022 were explored, and the driving factors of these networks were further analyzed. …”
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Single CDR-Based MIMO Antenna Incorporating PDGS and PRS Techniques for Enhanced mmWave Communications by M. Belazzoug, I. Messaoudene, S. Titouni, B. Hammache, Y. Braham Chaouche, S. Aidel, T. A. Denidni

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Biogeographic distribution and environmental drivers of tetracycline resistance genes in urban green spaces by Xunqiang Mo, Lingyue Lv, Jianzhong Xu, Zirui Meng, Xin Wen, Yu Liu, Runqiu Feng, Kai He, Jie Liu, Mengxuan He

“…Despite growing concern, the spatial distribution patterns and environmental drivers of tet ARGs in urban green spaces remain poorly understood. …”
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Earth Observation Data to Support Environmental Justice: Linking Non‐Permitted Poultry Operations to Social Vulnerability Indices by Mirela G. Tulbure, Júlio Caineta, Brooke Cox, Stephen V. Stehman, Ayse Ercumen, Rebecca Witter, Ryan Emanuel, Dana E. Powell, Kemp Burdette, Sherri White‐Williamson, Shea Tuberty

“…Notably, one‐third of NC's census tracts with high poultry CAFO density also have high SVI, primarily in rural eastern regions. Similar patterns were observed in the South and Southeast of the US. …”
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Assessment of heavy metal pollution sources and environmental capacity of typical farmland soils in northwestern Zhejiang based on the geological background of black rock series by Mei-hua Wang

“…Using Geographic Information System (GIS) technology and geostatistical methods, the environmental capacity characteristics of farmland soil heavy metals and their spatial distribution patterns were assessed.ResultsThe results show that the average concentrations of ω (Cd), ω (Hg), ω (As), ω (Pb), ω (Cr), ω (Ni), ω (Cu), and ω (Zn) in the surface soil of Changshan County’s farmland are 0.53, 0.12, 15.33, 34.03, 65.87, 29.06, 30.37, and 99.77 mg·kg−1, respectively. …”
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Spatial and temporal differences and influencing factors of rural e-commerce development level in Zhejiang province from multi-scale perspective(多尺度视角下浙江省农村电商发展水平时空差异及其影响因素)... by 马芳芳(MA Fangfang), 李晗(LI Han), 崔誉(CUI Yu), 宋永鹏(SONG Yongpeng), 丁志伟(DING Zhiwei)

“…Based on the comprehensive index including Taobao village economic force, rural environment foundation, e-commerce support, electricity information security, this paper analyzes the temporal-spatial pattern and its influencing factors of rural e-commerce development level in Zhejiang province by using the comprehensive evaluation method and ESDA method. …”
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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

“…<b>Methods</b>: This study employed spatiotemporal analysis of lumpy skin disease (LSD) outbreaks from 2020 to 2024 using GeoDa (v1.22), incorporating Moran’s I and Getis-Ord Gi* statistics to identify spatial clustering patterns. A randomized field trial was conducted to evaluate vaccine safety and immunogenicity in 657 cattle across seven districts. …”
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Spatial differentiation and influencing factors of county carbon emission performance in Zhejiang province under the background of county urbanization(县域城镇化背景下浙江省碳排放绩效的空间分异及其影响因素)... by 陈玉娟(CHEN Yujuan), 王思佳(WANG Sijia), 王志斌(WANG Zhibin), 胡俊琪(HU Junqi)

“…Geographically, the carbon emission performance has transformed from a "strip distribution" pattern to a "north-south differentiation," with a polarization observed at the metropolitan, regional, and prefecture scales. …”
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Spatiotemporal Relationship Between Carbon Metabolism and Ecosystem Service Value in the Rural Production–Living–Ecological Space of Northeast China’s Black Soil Region: A Case Stu... by Yajie Shang, Yuanyuan Chen, Yalin Zhai, Lei Wang

“…Spatial autocorrelation analyses were employed to examine the interaction patterns between carbon metabolism and ESV. …”
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Typical variability of oceanographic fields in the cold intermediate layer and its influence on the water dynamics in the Okhotsk Sea by T. V. Belonenko, P. A. Fayman, V. A. Luchin

“…The northward (West Kamchatka Current) and northwestward (Middle Okhotsk Sea flow) transport of the warm and salty transformed North Pacific Intermediate water prevails for the «warm» type, as could be seen from spatial distribution of temperature and salinity in the above cold subsurface layer and the isolines patterns. …”
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