Muti-indicator integrated assessment of coastal erosion vulnerablity in the Abandoned Yellow River Delta using geospatial approaches by Zhi Zhang, Zhi Zhang, Kai Zhou, Kai Zhou, Peng Chen

“…The coastal erosion vulnerability generally showed a distribution pattern high in the north and low in the south. The spatial differentiation of coastal erosion vulnerability results from the synergistic effect of multiple factors such as coastal dynamics, coastal morphology, and socioeconomic indicators, among which Rate of tidal flat erosion is the dominant factor in the spatial differentiation of coastal erosion vulnerability. …”
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Defining Rural Types Nearby Large Cities from the Perspective of Urban–Rural Integration: A Case Study of Xi’an Metropolitan Area, China by Xiji Jiang, Jiaxin Sun, Tianzi Zhang, Qian Li, Yan Ma, Wen Qu, Dan Ye, Zhendong Lei

“…Key findings in this study include the following: (i) URI should be decoupled from administrative divisions, considering the complex impacts of multi-town functional spillover; (ii) ecological environment, economic development, public service allocation, and construction land supply are key factors influencing URI; (iii) the overall URI index in the Xi’an metropolitan area presents a “high in the center, low in the east and west” pattern. The rural areas with high URI index are around Xi’an and Xianyang, while other cities show insufficient communication with neighboring villages; (iv) rural areas can be categorized into four types of integration: ecological, ecological–economic, ecological–social–spatial, and ecological–economic–social–spatial, which exhibit an outward expansion of layers and extension along the east–west axis in the spatial structure of integration. …”
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Geographic inequalities and factors associated with unfavorable outcomes in diabetes-tuberculosis and diabetes-covid comorbidities in Brazil by Luana Seles Alves, Thaís Zamboni Berra, Yan Mathias Alves, Letícia Perticarrara Ferezin, André Luiz Teixeira Vinci, Reginaldo Bazon Vaz Tavares, Ariela Fehr Tártaro, Dulce Gomes, Ricardo Alexandre Arcêncio

“…São Paulo-SP, Rio de Janeiro-RJ and Belo Horizonte-MG were the municipalities with the highest spatial risk of illness. The analysis of the spatial risk areas revealed distinct patterns in the geographic distribution of comorbidities. …”
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Geospatial Analysis of Urban Expansion Using Remote Sensing Methods and Data: A Case Study of Yangtze River Delta, China by Wei Sun, Jie Shan, Zhiming Wang, Lei Wang, Dianmei Lu, Zhifeng Jin, Kun Yu

“…Then, these images were overlain with economic and physical geographical data to analyze the urban spatial expansion pattern and its physical constraints and socioeconomic influence factors by employing a combination of transition matrix analysis, expansion intensity indices, and equal-fan analysis. …”
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On bounds of the effective behavior of particulate composites with imperfect interface by Stolz, Claude

“…Test displacements or stress fields are build and characterized using Green’s functions of a comparison homogeneous body, polarization fields and extension of the classical Lippmann–Schwinger equations. Then when spatial distribution of phases are known, in particular for isotropic distribution of phases or patterns, a generalization of Hashin–Shtrikman principle is obtained and lower and upper bounds are proposed.…”
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Measurement and optimization paths of the multidimensional development levels of counties in the Yellow River Basin: based on the sustainable livelihoods framework by Lisha Cheng, Lisha Cheng, Li Ma, Jiajun Qiao, Jiajun Qiao, Xiaoyue Li

“…The findings are as follows: (1) Counties in the YRB have a low overall multidimensional development level, presenting a spatial distribution pattern of “high in the east and low in the west” overall. …”
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Distribution of Cetaceans in the Canary Islands (Northeast Atlantic Ocean): Implications for the Natura 2000 Network and Future Conservation Measures by Inma Herrera, Inma Herrera, Manuel Carrillo, Marcial Cosme de Esteban, Ricardo Haroun

“…Based on this fact, this study pays attention to the spatial distribution pattern of cetacean species and the conservation role of the Natura 2000 Network, a set of Special Areas of Conservation (SACs), which were defined mainly based on data compiled in 1996, under the framework of the European Habitats Directive. …”
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The Typology of Chohar-Sofeh Houses of Dosiran Village by Nadya Ashayeri, Behzad Vasigh

“…This will reduce the amount of cold winds entering the building during the cold season. The pattern of spatial organization in Dosiran houses has been achieved through the history of the village, the climate, the context of construction, and some forms of spatial constructions.…”
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Theory of Regaining Control by Annemarie Dowling-Castronovo

“…Older adults viewed new episodes of urinary incontinence as a part of a much broader concern during hospitalization: loss of control with physical, spatial-temporal, and social aspects. During hospitalization, a time crisis, patterns of regaining control became evident: transferring control, exercising “wobbly” control, and adjusting to degree of control regained. …”
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Urbanisation and everyday mobility.Long-term changes of travel in urban areas of Sweden by Bertil Vilhelmson

“…This paper examines the long-term changes of travel patterns in urbanized and semi-urbanized areas of Sweden. …”
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slendr: a framework for spatio-temporal population genomic simulations on geographic landscapes by Petr, Martin, Haller, Benjamin C., Ralph, Peter L., Racimo, Fernando

“…One of the goals of population genetics is to understand how evolutionary forces shape patterns of genetic variation over time. However, because populations evolve across both time and space, most evolutionary processes also have an important spatial component, acting through phenomena such as isolation by distance, local mate choice, or uneven distribution of resources. …”
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Stressed Vegetation Identification Under Natural Gas Microleakage From Hyperspectral Images Using Stacked Autoencoder and Multiscale Three-Dimensional Convolutional Neural Network by Kangni Xiong, Jinbao Jiang, Weiwei Ran, Kangning Li, Yingyang Pan, Xinda Wang

“…Furthermore, the minimum circumscribed circle was fitted to analyze the temporal and spatial patterns of stress identification results based on the concentric spatial distribution of natural gas diffusion, after which the detection accuracy of leakage points was less than 0.5 m without false alarms. …”
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Carbon Emissions From Low‐Order Streams in a Tropical, High‐Elevation, Peatland Ecosystem Are Mediated by Catchment Morphology by Keridwen M. Whitmore, Amanda G. DelVecchia, Elizabeth Farquhar, Gerard Rocher‐Ros, Esteban Suárez, Diego A. Riveros‐Iregui

“…Here we evaluated spatial patterns of CO2 in three tropical, headwater catchments in relation to the river network and stream geomorphology. …”
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Management of elephant populations in Kenya - what have we learnt so far? by John Waithaka

“…Mentions the long term vegetation change in Amboseli obvious in systematic study of on aerial photography as well as results from research in Samburu, Aberdares and Shimba Hills which provide insight into the variability of the temporal and spatial aspects of these relationships. Notes culling and translocations as the management options available for reducing the population density in artificially compressed areas and discusses an alternative that of allowing or providing for dispersal by means of corridors between areas where migrations routes naturally occurred, or to areas where populations could disperse to under present land use patterns. …”
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Monthly Urban Electricity Power Consumption Prediction Using Nighttime Light Remote Sensing: A Case Study of the Yangtze River Delta Urban Agglomeration by Shuo Chen, Dongmei Yan, Cuiting Li, Jun Chen, Jun Yan, Zhe Zhang

“…For the NPP/VIIRS dataset, the proposed method achieved a Mean Absolute Relative Error (MARE) of 7.96% during the training phase (2017–2022) and of 10.38% during the prediction phase (2023), outperforming the comparative methods. Monthly EPC spatial distribution maps from VPP/VIIRS data were generated, which not only reflect the spatial patterns of EPC but also clearly illustrate the temporal evolution of EPC at the spatial level. …”
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Integration of Remote Sensing and GIS for Urban Sprawl Monitoring in European Cities by Stavros Kalogiannidis, Konstantinos Spinthiropoulos, Dimitrios Kalfas, Fotios Chatzitheodoridis, Fani Tziampazi

“…Highlights: • An integrated RS-GIS and machine learning framework to assess urban sprawl patterns across six European cities under varying urban typologies…”
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Constructing a 22-year internal wave dataset for the northern South China Sea: spatiotemporal analysis using MODIS imagery and deep learning by X. Zhang, X. Zhang, X. Li, X. Li

“…Interestingly, our temporal analysis reveals characteristic “double-peak” patterns aligned with the lunar day, highlighting the strong connection between IWs and tidal cycles. …”
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Global Assessment of Mesoscale Eddies with TOEddies: Comparison Between Multiple Datasets and Colocation with In Situ Measurements by Artemis Ioannou, Lionel Guez, Rémi Laxenaire, Sabrina Speich

“…Among the multi-year observations, TOEddies captures coherent, long-lived eddies with lifetimes exceeding 1.5 years, while highlighting significant differences in the dynamic properties and spatial patterns across datasets. Furthermore, this study integrates TOEddies with 23 years of colocalized Argo profile data (2000–2023), allowing for a novel examination of eddy-induced subsurface variability and the role of mesoscale eddies in the transport of global ocean heat and biogeochemical properties. …”
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Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance by Ernest Akyereko, Frank B. Osei, Kofi M. Nyarko, Alfred Stein

“…Focusing on Ghana, this study employed scan-statistic cluster analysis to uncover the spatial patterns of incidence and Case Fatality Rates (CFR) of COVID-19 based on reports covering the four pandemic waves in Ghana between 12 March 2020 and 28 February 2022. …”
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Spatiotemporal clusters of acute respiratory infections associated with socioeconomic, meteorological, and air pollution factors in South Punjab, Pakistan by Munazza Fatima, Ibtisam Butt, Shahab MohammadEbrahimi, Behzad Kiani, Oliver Gruebner

“…Therefore, our study examines the ecological-level spatial and temporal patterns of acute respiratory infection incidence (ARI) and their geographic relationship with selected socio-economic, meteorological, and air pollution factors in Pakistan. …”
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