Carbon use efficiency of alpine grasslands affected by grazing exclusion and local environmental context in Tibet, China by Yunfei Feng, Jianshuang Wu, Meng Li, Ben Chen, Minyahel Tilahun, Xianzhou Zhang

“…We considered soil properties, topographical features, and climate conditions as potential predictors to explain the spatial patterns and temporal dynamics of CUE across these grasslands. …”
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Spatiotemporal data modeling and prediction algorithms in intelligent management systems by Xin Cao, Chunxiao Mei, Zhiyong Song, Hao Li, Jingtao Chang, Zhihao Feng

“…The author first makes a preliminary analysis of the wireless network data (mainly the data of cellular mobile networks) obtained by Internet service providers, reveals that the data of adjacent base stations have temporal and spatial correlations, then establishes a hybrid deep learning model for spatio-temporal prediction, and proposes a new spatial model training algorithm. …”
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An Exploration of the Use of Educational Robotics in Preschool Education by Veronica Mihaela Rus, Beatrice Almășan

“…The results show that the use of educational robots in different stages of teaching, learning and evaluation helps in the development process of children by understanding the cause-effect relationship, acquiring spatial and temporal orientation skills, developing communication skills and supporting socio-emotional interactions with children of the same age. …”
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Assessment and Application of Multi-Source Precipitation Products in Cold Regions Based on the Improved SWAT Model by Zhaoqi Tang, Yi Wang, Wen Chen

“…This is specifically reflected in the rationality of the spatial and temporal distribution patterns of the inverted precipitation, the accuracy observed in capturing precipitation events and actual precipitation characteristics, the goodness of fit in driving hydrological models, and the observed precision in reflecting the composition of watershed runoff, all of which are superior to those pertaining to other precipitation products. (3) The glacier melt calculated using the improved SWAT model informed by CMA V2.0 shows that during the study period, the basin formed a pattern with a positive–negative glacier balance demarcation at 36.5° N, featuring melting at higher latitudes and accumulation at lower latitudes. …”
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The global, regional and national burden of peptic ulcer disease attributable to smoking from 1990 to 2021: A population-based study by Shuai Wang, Tao Zhang, Dongming Li, Xueyuan Cao

“…This study analyzes the temporal and spatial patterns of PUD burden attributable to smoking globally from 1990 to 2021, providing insights for public health interventions. …”
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Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon by Abhishu Oza, Dhaval K. Patel, Bryan J. Ranger

“…In this paper, we propose Fusion ConvLSTM-Net, a novel fusion encoder-decoder architecture that combines both spatial and temporal features to extend the load forecast to a full 24 hour period. …”
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RADON IN GROUNDWATERS IN THE BAIKAL REGION AND TRANSBAIKALIA: VARIATIONS IN SPACE AND TIME by K. Zh. Seminsky, A. K. Seminsky

“…As a consequence, in short periods of extreme Q values, the content of radon in a water source may increase or decrease to a value corresponding to a neighbouring radon-radioactivity group.This paper provides an overview of the radon activity of groundwater in the Baikal region and Transbaikalia with a focus on regularities in the spatial and temporal patterns of 222Rn in the water sources with Q<185 Bq/l. …”
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Driving Behavior Classification Using a ConvLSTM by Alberto Pingo, João Castro, Paulo Loureiro, Sílvio Mendes, Anabela Bernardino, Rolando Miragaia, Iryna Husyeva

“…Sensor data are collected from a smartphone application and undergo a preprocessing pipeline, including data normalization, labeling, and feature extraction, to enhance the model’s performance. By capturing temporal and spatial dependencies within driving patterns, the proposed ConvLSTM model effectively differentiates between normal and aggressive driving behaviors. …”
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Assessment of ecological asset quality and its drivers in Agro-pastoral Ecotone of China by Wenmin Liu, Zhiyuan Cheng, Jie Li, Guang Li, Ninghui Pan

“…In this study, we synthesized soil, topography, and perpendicular indicators, based on Sen + MK trend analysis, Hurst index analysis, and Pearson correlation analysis methods, combined with climate and socio-economic data, and took the municipal scale of Agro-pastoral Ecotone of China as the study unit to quantitatively assess the spatial and temporal changes of ecological asset quality in the study area from 2000 to 2020, and to identify the influencing factors that generate spatial heterogeneity. …”
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Modeling Riding and Stopping Behaviors at Motorcycle Box Intersections: A Case Study in Chiang Mai City, Thailand by Wachira Wichitphongsa, Nopadon Kronprasert, Moe Sandi Zaw, Pongthep Pisetsit, Thaned Satiennam

“…This research aims to evaluate the traffic performance of motorcycle boxes with respect to motorcycle departure times, headway intervals, lane-filtering rates, and vehicle movement patterns at 12 signalized urban intersections in Chiang Mai, Thailand. …”
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Study on the Influence of Strip-Shaped Urban Rail Transit Stations on Urban Vitality Distribution Based on Point of Interest Data by Yuchen Wu, Min’an Yang, Xin Li, Xu Wei, Yongsheng Qian

“…This study enhances our understanding of how urban rail transit impacts urban vitality within belt-shaped cities while elucidating its positive role in shaping development patterns unique to such areas. It clarifies the relationship between changes in urban vitality and spatial configuration, thereby providing valuable insights for urban planners and decision-makers. …”
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Exploring the Impact of Daytime and Nighttime Campus Lighting on Emotional Responses and Perceived Restorativeness by Xianxian Zeng, Bing Zhang, Shenfei Chen, Yi Lin, Antal Haans

“…Skin conductance data, integrated with spatial–temporal trajectories and affective mapping, revealed clear patterns of emotional responses, emphasizing the role of lighting in shaping environmental quality. …”
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Response mechanism of ecological environment quality variation to multifactor coupling at Spatiotemporal scales by Xi Chen, Yuqing Fang, Yufeng He, Wen Dai, Ling Jiang, Hong Wei, Dong Wang, Chun Wang

“…At the temporal scale, EEQ levels were predominantly influenced by policy measures, while spatially topography and human activities were identified as the primary drivers of the EEQ changes. …”
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Regional-scale assessment of groundwater recharge and the water balance for Austria by Hanna Zeitfogel, Mathew Herrnegger, Karsten Schulz

“…Currently, Austria lacks fully spatially distributed groundwater recharge maps. The study’s aim was to develop a nationwide hydrological model that predicts groundwater recharge and the water balance components runoff, and evapotranspiration.We implemented the rainfall-runoff model COSERO with a 1km2 spatial and monthly temporal resolution. …”
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A novel multidimensional framework for bridging conservation gaps and optimizing the system of natural reserves for biodiversity: A case study of Dongying, China by Yifei Xu, Chi Li

“…Using this framework, we quantitatively explored the spatial and temporal dynamics of species dispersal and habitat quality for migratory birds in Dongying, China. …”
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Microseismic Monitoring of Energy Changes in Deep Tunnels during the TBM Tunneling of the Jinping II Hydropower Station by Duanyang Zhuang, Ke Ma, Chunan Tang, Zhengzhao Liang, Zhenwei Wang

“…A movable microseismic (MS) monitoring system was established to capture the MS events and rockbursts when the TBM excavated the headrace tunnel #1 at the Jinping II hydropower station. The spatial and temporal patterns of the energy changes in the tunnel rock masses were studied. …”
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The Value of Learning about Natural History in Biodiversity Markets. by Douglas J Bruggeman

“…I use an individually-based, spatially-explicit population model for the Red-cockaded Woodpecker (Picoides borealis) to predict spatial- and temporal- influences of landscape change on species occurrence and genetic diversity. …”
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Severity of inversion effects of atmospheric precipitation in the kazakh part of altai and methods of their assessment by Egorina A.V., Beysembayeva R.S., Chursin A.S., Kabdrakhmanova N.K., Kaisarova A.S.

“…In the article, the spatial-temporal structure of atmospheric precipitation considered as a complex multifactorial phenomenon, where vertical and horizontal components characterize its magnitude and dynamics. …”
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A 60-year drought analysis of meteorological data in the western Po River basin by E. Mombrini, S. Tamea, A. Viglione, R. Revelli

“…The analysis is carried out over the last 60 <span class="inline-formula">years</span> using the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) at 3- and 12-month timescales and deriving drought events at the local and regional spatial scales. By leveraging on a continuous and spatially coherent precipitation and temperature dataset, we explore the temporal and spatial variability of drought conditions and compare results obtained with different approaches.…”
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Vegetation Growth Simulation of the Community Land Model in the Southwest China by Lihuan WANG, Yaqiong LÜ, Ziyi WANG

“…Under the background of global warming， the temperature has increased frequently in the southwest， and the ecosystem in the southwest is vulnerable and sensitive to climate change in the past few decades.The southwest region is an important carbon sink area in China.Monitoring and simulation of vegetation variations is of great significance for an in-depth understanding of the carbon cycle mechanism and promoting sustainable economic development.Leaf Area Index （LAI） and Gross Primary Productivity （GPP）， as indicators of vegetation health and ecosystem stability， can be used to quantify vegetation studies and characterize dynamic changes of vegetation.Vegetation dynamic Model is one of the important means to study vegetation growth and change.Community Land Model （CLM） is one of the earliest land model with the function of vegetation dynamic simulation， the most developed and widely used land model in the world.Model evaluation is an indispensable part of model development， which provides a basis for model development and improvement.This study uses the Community Land Model version5 （CLM5） to simulate and analyze the spatial and temporal variations of the leaf area index （LAI） and total primary productivity （GPP） in the southwest region across 2000 -2016， and compare it with multiple sets of remote sensing data to evaluate LAI and GPP simulations of CLM5 in the southwest.The results showed that CLM5 could well simulate the seasonal variation of LAI and GPP in southwest China， but overestimated LAI in growing season.The CLM5 can reasonably simulate LAI of temperate deciduous broadleaf shrubs， LAI， GPP of alpine C3 meadow and GPP of C3 meadow.CLM5 could capture the spatial distribution pattern of LAI and GPP in the southwest， which is decreasing from southeast to northwest， but CLM5 overestimates LAI in the whole southwest region， especially in the karst landform area of Guizhou.Contrary to the overestimation of LAI simulation， CLM5's overall simulation of GPP in Southwest China is low， especially in Yunnan province.In addition， CLM5 has a poor simulation of LAI and GPP trend in the southwest.Especially in most parts of Yunnan， remote sensing data mainly shows an upward trend， while CLM5 simulation shows a downward trend.In a word， CLM5 can simulate the seasonal change and spatial distribution of LAI and GPP in the southwest， but the simulation of the trend in some areas of Yunnan and Guizhou is poor， and more in-depth parametric schemes for the development of farmland in Sichuan Basin， Yunnan forests， and karst vegetation in Guizhou are needed to improve the simulation.…”
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