Validation of Two Operative Google Earth Engine Applications to Generate 10 m Land Surface Temperature Maps at Daily to Weekly Temporal Resolutions by Vicente Garcia-Santos, Alejandro Buil, Juan Manuel Sánchez, César Coll, Raquel Niclòs, Jesús Puchades, Martí Perelló, Lluís Pérez-Planells, Joan Miquel Galve, Enric Valor

“…Current land surface temperature (LST) products, estimated by sensors on board satellites, show a trade-off between their spatial and temporal resolution. If the spatial resolution is high (i.e., around 100 m), the LST product is delivered every 2 weeks, and for those LST products estimated daily, its spatial resolution is 1 km. …”
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Change of human settlement resilience and its obstacle degree in resource-based cities in the Yellow River Basin by JIANG Haining, ZHENG Shuting, YANG Qi, JIANG Dongru, YU Jianhui

“…The primary obstacles to human settlement resilience in various types of resource-based cities were spatially heterogeneous. [Conclusion] The resilience of human settlements in resource-based cities within the Yellow River Basin was increasing, with significant spatial and regional variations. …”
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Analyzing satellite and airborne Ka-band passive microwave observations over land for temperature and vegetation monitoring by Richard de Jeu, Yoann Malbeteau, Ruxandra-Maria Zotta, Wouter Dorigo, Xiaoling Wu, Jeffrey Walker, Diego G. Miralles

“…This study analyzed Ka‐band observations at different spatial scales. Between September and October 2019, a series of airborne flights carrying L‐ and Ka‐band instruments were conducted at the Yanco study area in southeastern Australia. …”
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Prevalence and distribution pattern of malaria and soil-transmitted helminth co-endemicity in sub-Saharan Africa, 2000-2018: A geospatial analysis. by Muhammed O Afolabi, Adekola Adebiyi, Jorge Cano, Benn Sartorius, Brian Greenwood, Olatunji Johnson, Oghenebrume Wariri

“…Although, MAP provides datasets on the estimated prevalence of Plasmodium falciparum at 5km x 5km fine-scale resolution, we calculated the population-weighted prevalence of malaria for each implementation unit to ensure that both malaria and STH datasets were on the same spatial resolution. We incorporated survey data from 5,935 implementation units for STH prevalence and conducted the prevalence point estimates before and after 2003. …”
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Effect of Auditory Recognition on the Vocabulary Knowledge of Children with Functional Articulation Disorder by YAN Jiajian, WANG Chengdong, LU Jianliang, LI Yuchang, SHEN Longbin, OU Jianlin, CHEN Zhuoming

“…The minimum difference phoneme contrast test was used to evaluate the children's auditory recognition function; Peabody Picture Vocabulary Test (PPVT) was used to assess the children's vocabulary knowledge function; auditory working memory of children was evaluated by digital memory span test; visual working memory of children was evaluated using spatial memory span task test.Results1) Correlation analysis was conducted on total average accuracy of minimum difference phoneme contrast test, PPVT score, digit memory span test and spatial memory span task test. …”
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Risk of SARS-CoV-2 transmission in natural lake bathing areas: The role of indirect indicators in water quality monitoring by Stanisław Chmiel, Marta Ziółek, Magdalena Kończak, Katarzyna Mięsiak-Wójcik

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Dynamique socio-identitaire : étude des pratiques langagières dans l’espace urbain algérois by Yasmina Baghbagha

“…Language practices have particular social and spatial traits. They are at the same time social products and are impacted by the environment in which they emerge. …”
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Video temporal perception characteristics based just noticeable difference model by Yafen1 XING, Haibing YIN, Hongkui WANG, Qionghua LUO

“…The existing temporal domain JND(just noticeable distortion) models are not sufficient to depict the interaction between temporal parameters and HVS characteristics, leading to insufficient accuracy of the spatial-temporal JND model.To solve this problem, feature parameters that can accurately describe the temporal characteristics of the video were explored and extracted, as well as a homogenization method for fusing heterogeneous feature parameters, and the temporal domain JND model based on this was improved.The feature parameters were investigated including foreground and background motion, temporal duration along the motion trajectory, residual fluctuation intensity along motion trajectory and adjacent inter-frame prediction residual, etc., which were used to characterize the temporal characteristics.Probability density functions for these feature parameters in the perception sense according to the HVS(human visual system) characteristics were proposed, and uniformly mapping the heterogeneous feature parameters to the scales of self-information and information entropy to achieve a homogeneous fusion measurement.The coupling method of visual attention and masking was explored from the perspective of energy distribution, and the temporal-domain JND weight model was constructed accordingly.On the basis of the spatial JND threshold, the temporal domain weights was integrated to develop a more accurate spatial-temporal JND model.In order to evaluate the performance of the spatiotemporal JND model, a subjective quality evaluation experiment was conducted.Experimental results justify the effectiveness of the proposed model.…”
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Multi-Source Data-Driven Local-Global Dynamic Multi-Graph Convolutional Network for Bike-Sharing Demands Prediction by Juan Chen, Rui Huang

“…Additionally, we integrate a time attention mechanism to better capture variations over time. In the spatial dimension, we consider factors related to the addition or removal of stations and utilize spatial semantic features, such as urban points of interest and station locations, to construct dynamic multi-graphs. …”
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Does gentrification of the Praga Północ district in Warsaw really exist? by Dudek-Mańkowska Sylwia, Iwańczak Bartłomiej

“…Research on gentrification has been conducted for over 50 years by representatives of many disciplines. …”
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The Environmental Dimension of Sustainable Development in Relation to the Transition from Brown to Green Energy—A Case Study of Poland from 2005 to 2023 by Mateusz Ciski, Krzysztof Rząsa

“…Additionally, to visualize the local variation in this relationship, a spatial variation study was carried out using Geographic Information System (GIS) tools, supported by a series of bivariate choropleth maps. …”
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Zooplankton Diversity, Dynamics and Correlation with Physicochemical Parameters at Ugbevwe Pond in Delta State, Nigeria by J.A. Edoreh, T.O.T IMoobe, E. Ikpokpo, M.M. Ubrei-Joe, C.M. Ubrei-Joe

“… Zooplankton are microscopic floating animals, which drift in water and whose swimming power if any, serve mainly to keep them afloat. A field study was conducted to determine the spatial and temporal variation in the zooplankton composition, dynamics and diversity at Ugbevwe Pond, Oghara, Delta State. …”
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Water Hyacinth’s Extent and Its Implication on Water Quality in Lake Victoria, Uganda by Hussein Kiyemba, Bernard Barasa, Joyfred Asaba, Paul Makoba Gudoyi, Gertrude Akello

“…High-resolution satellite images (2016–2019) were obtained and used to monitor the spatial extent of the water hyacinth, a household survey was conducted to examine the determinants of the water hyacinth’s extent and patterns while water samples were drawn and analysed for physicochemical properties. …”
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Analyzing spatiotemporal congestion pattern on urban roads based on taxi GPS data by Kaisheng Zhang, Daniel (Jian) Sun, Suwan Shen, Yi Zhu

“…Fuzzy C-means clustering was used to conduct an exhaustive study on 24-hour congestion pattern of road segments in urban area, so that the spatial autoregressive moving average model (SARMA) was introduced to analyze the output from the clustering analysis to establish the relationship between built environment and the 24-hour congestion pattern. …”
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Video temporal perception characteristics based just noticeable difference model by Yafen1 XING, Haibing YIN, Hongkui WANG, Qionghua LUO

“…The existing temporal domain JND(just noticeable distortion) models are not sufficient to depict the interaction between temporal parameters and HVS characteristics, leading to insufficient accuracy of the spatial-temporal JND model.To solve this problem, feature parameters that can accurately describe the temporal characteristics of the video were explored and extracted, as well as a homogenization method for fusing heterogeneous feature parameters, and the temporal domain JND model based on this was improved.The feature parameters were investigated including foreground and background motion, temporal duration along the motion trajectory, residual fluctuation intensity along motion trajectory and adjacent inter-frame prediction residual, etc., which were used to characterize the temporal characteristics.Probability density functions for these feature parameters in the perception sense according to the HVS(human visual system) characteristics were proposed, and uniformly mapping the heterogeneous feature parameters to the scales of self-information and information entropy to achieve a homogeneous fusion measurement.The coupling method of visual attention and masking was explored from the perspective of energy distribution, and the temporal-domain JND weight model was constructed accordingly.On the basis of the spatial JND threshold, the temporal domain weights was integrated to develop a more accurate spatial-temporal JND model.In order to evaluate the performance of the spatiotemporal JND model, a subjective quality evaluation experiment was conducted.Experimental results justify the effectiveness of the proposed model.…”
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Deep Generative Modeling Based on VAE-GAN for 3D Indoor Scene Synthesis by Shuai Li, Hongjun Li

“…Subsequently, a U-Net is employed to learn spatial relations between objects. Lastly, the Bayesian optimization module amalgamates the generated object attributes, spatial relations, and priors learned from data, conducting global optimization to generate a logical scene layout. …”
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Impact of land use change on the spatiotemporal pattern of carbon budget in Henan Province and its scenario simulation by XIAO Qianhu, ZHAO Rongqin, XIE Zhixiang, LIU Runqian, XIAO Liangang, JI Jiayu, CAI Chen

“…[Objective] Conducting research on the impact of land use change on the spatiotemporal pattern of carbon budget and scenario simulation is of great significance for revealing the mutual feedback mechanism between land use and regional carbon processes, and exploring strategies for optimizing and controlling the territorial spatial pattern towards achieving the dual carbon goals. …”
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A One-seat Ride Coverage Ratio using Administrative Origin Destination Data by Joshua H. Davidson, Ilil Feiglin, Megan S. Ryerson

“…Much remains to be known about the geographic areas in regions that are well (or poorly) served by one-seat transit -- direct service where users do not need to conduct transfers. We describe geographic access to one-seat service, by advancing the framework of a spatial coverage ratio for transit when accounting for commuter flows as reflected in administrative origin-destination data. …”
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Investigating Variations in Anthropogenic Heat Flux along Urban–Rural Gradients in 208 Cities in China during 2000–2016 by Ling Cui, Qiang Chen

“…To quantitatively describe the magnitude and spatial extent of the ArUHI effect, two metrics—namely, ArUHI intensity (ArUHII) and ArUHI footprint (ArUHIFP)—are introduced. …”
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Vehicle-Based Moving Observation of Atmospheric CO2 Mixing Ratio and Carbon Isotope in China: Imprint of Human Activities by Shuran Yang, Lide Tian, Di Wang, Zhongyin Cai, Jiaojiao Han, Ran Tian, Yiliang Chen

“…In this study, we employed a mobile vehicle-based WS-CRDS (wavelength-scanned cavity ring-down spectroscopy) analyzer to conduct continuous measurements of near-surface atmospheric CO2 concentration and δ13C-CO2 across extensive regions of mainland China during winter, aiming to investigate their spatial patterns, possible driver, and trace emission sources. …”
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