How can urban expansion and ecological preservation be balanced? A simulation of the spatial dynamics of production-living-ecological spaces in the Huaihe River Eco-Economic Belt by Tonghui Yu, Shanshan Jia, Yu Zhang, Xufeng Cui

“…This study utilizes a combination of the Future Land Use Simulation (FLUS) model and the Markov model to analyze how various developmental scenarios might influence the spatial dynamics of the Production-Living-Ecological Spaces (PLES) structure. …”
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Les logiques spatiales du vote corse lors des scrutins régionaux et européens 2003-2005, héritage et renouvellement des comportements électoraux by Luc Merchez

“…On the other hand, this analysis reveals some exceptions to these traditional clannish patterns; that is to say identity-defined votes (regionalist/nationalist) and also votes which show a greater individualization of the public opinion (abstention, interest driven votes). …”
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Spatial Analysis of the Neuronal Density of Aminergic Brainstem Nuclei in Primary Neurodegenerative and Vascular Dementia: A Comparative Immunocytochemical and Quantitative Study U... by Yan Yang, Konrad Beyreuther, Horst P. Schmitt

“…A graph method was employed to analyse spatial neuronal patterns of pontine nuclei with ascending aminergic projections to the forebrain (nucleus centralis superior (NCS), raphes dorsalis (NRD) and locus coeruleus (LC)), in Alzheimer disease (AD), Huntington disease (HD), and vascular (VD) as well as “mixed‐type” (VA) dementia, compared with non‐demented controls (CO) and a small sample of brains from schizophrenics (“dementia praecox” (DP)). …”
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Spatial heterogeneity evolution and driving mechanism analysis of land use change in major river basins: a case study of urban agglomerations in the Yellow River Basin by Hua Wang, Haolin Xu, Xuefei Hong, Cunjin Wang, Jiqiang Niu, Chaoqin Zhang

“…This study meticulously examines the evolution of land use patterns across the seven principal urban agglomerations within the Yellow River Basin from 1990 to 2020. …”
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Response of Ecosystem Service Value to LULC Under Multi-Scenario Simulation Considering Policy Spatial Constraints: A Case Study of an Ecological Barrier Region in China by Chen Zhang, Zhanqi Wang, Hanwen Du, Haiyang Li

“…Analyzing the complex dynamics of land use, accurately assessing ecosystem service values (ESVs), and predicting future trends in land use and ESVs alterations within the spatial constraints of policies are essential for policymaking and advancing sustainable development objectives. …”
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Spatial and temporal expansions of Eastern equine encephalitis virus and phylogenetic groups isolated from mosquitoes and mammalian cases in New York State from 2013 to 2019 by JoAnne Oliver, Yi Tan, Jamie D. Haight, Keith J. Tober, Wayne K. Gall, Steven D. Zink, Laura D. Kramer, Scott R. Campbell, John J. Howard, Suman R. Das, James A. Sherwood

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Individualized spatial network predictions using Siamese convolutional neural networks: A resting-state fMRI study of over 11,000 unaffected individuals. by Reihaneh Hassanzadeh, Rogers F Silva, Anees Abrol, Mustafa Salman, Anna Bonkhoff, Yuhui Du, Zening Fu, Thomas DeRamus, Eswar Damaraju, Bradley Baker, Vince D Calhoun

“…Many neuroimaging studies have demonstrated the potential of functional network connectivity patterns estimated from resting functional magnetic resonance imaging (fMRI) to discriminate groups and predict information about individual subjects. …”
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Optimizing Parcel Locker Selection in Campus Last-Mile Logistics: A Path Planning Model Integrating Spatial–Temporal Behavior Analysis and Kernel Density Estimation by Hongbin Zhang, Peiqun Lin, Liang Zou

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Clinical and epidemiological indicators and spatial analysis of leprosy cases in patients under 15 years old in an endemic area of Northeast Brazil: an ecological and time series s... by Márcio Bezerra Santos, Allan Dantas dos Santos, Aline Silva Barreto, Mariana do Rosário Souza, Marco Aurélio de Oliveira Goes, José Antônio Barreto Alves, Ikaro Daniel Carvalho Barreto, José-Rodrigo S Silva, Daniela Teles de Oliveira, Karina C G Machado de Araújo, Malcolm S Duthie, Amélia Ribeiro de Jesus

“…Patients diagnosed by examination within the HHC presented better indicators, such as lower percentage of leprosy reaction and physical disability. Spatial analysis showed the most risk areas distributed on the northeast and cities around the capital, Aracaju.Conclusion The data indicate that there is a persistence of active Myobacterium leprae transmission and a delay in disease detection, following a pattern of high endemicity in many municipalities. …”
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Spatial Gap-Filling of Himawari-8 Hourly AOD Products Using Machine Learning with Model-Based AOD and Meteorological Data: A Focus on the Korean Peninsula by Youjeong Youn, Seoyeon Kim, Seung Hee Kim, Yangwon Lee

“…Furthermore, the gap-filled dataset successfully captured seasonal AOD patterns, with values ranging from 0.245–0.300 in winter to 0.381–0.391 in summer, providing a comprehensive view of aerosol dynamics across South Korea.…”
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Prediction Modeling and Driving Factor Analysis of Spatial Distribution of CO₂ Emissions from Urban Land in the Yangtze River Economic Belt, China by Chao Wang, Jianing Wang, Le Ma, Mingming Jia, Jiaying Chen, Zhenfeng Shao, Nengcheng Chen

“…In recent years, China’s urbanization has accelerated, significantly impacting ecosystems and the carbon balance due to changes in urban land use. The spatial patterns of CO₂ emissions from urban land are essential for devising strategies to mitigate emissions, particularly in predicting future spatial distributions that guide urban development. …”
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Deep Learning-Based Spatial Prediction of Landslide Risk in Coastal Areas Using GIS and Multicriteria Decision Making: A DeepLabV3+ Approach by Huyong Yan, Asad Khan, Ahsan Jamil, Belkendil Abdeldjalil, Taoufik Saidani, Nazih Y. Rebouh

“…Furthermore, the perclass Dice Coefficient analysis confirms that the model can efficiently discriminate intricate topographical patterns. Especially in fast-expanding areas such as Dubai, UAE, it provides a scalable solution for landslide susceptibility mapping, catastrophe risk management, and sustainable urban design. …”
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The Spatial Distribution and Driving Mechanism of Soil Organic Matter in Hilly Basin Areas Based on Genetic Algorithm Variable Combination Optimization and Shapley Additive Explana... by He Huang, Yaolin Liu, Yanfang Liu, Zhaomin Tong, Zhouqiao Ren, Yifan Xie

“…Studying the spatial variation patterns and influencing factors of soil organic matter (SOM) in hilly and basin areas is of great significance for guiding agricultural production practices. …”
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Air pollution’s numerical, spatial, and temporal heterogeneous impacts on childhood hand, foot and mouth disease: a multi-model county-level study from China by Zhangying Tang, Qi Sun, Jay Pan, Mingyu Xie, Zhoufeng Wang, Xiaojun Lin, Xiuli Wang, Yumeng Zhang, Qingping Xue, Yanchen Bo, Jinfeng Wang, Xin Liu, Chao Song

“…Numerically, PM2.5 showed an inverse ‘V’-shaped relationship with HFMD incidence, while O3 exhibited a complex pattern, with increased HFMD incidence at low PM2.5 and moderate O3 concentrations. …”
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Spatial and temporal epidemiology of SARS-CoV-2 virus lineages in Teesside, UK, in 2020: effects of socio-economic deprivation, weather, and lockdown on lineage dynamics by Moss, E.D., Rushton, S.P., Baker, P., Bashton, M., Crown, M.R., dos Santos, R.N., Nelson, A., O’Brien, S.J., Richards, Z., Sanderson, R.A., Yew, W.C., Young, G.R., McCann, C.M., Smith, D.L.

“…Methods: We examined the spatial and temporal patterns of COVID-19 in the Teesside sub-region of the UK, from January to December 2020, capturing the first two waves of the epidemic. …”
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Unraveling key environmental drivers of spatial variation in plant functional traits: Insights from Dacrydium pectinatum de Laub. in natural communities on Hainan Island, China by Haodong Liu, Gaoqiang Zhang, Tianqi Li, Siyuan Ren, Baihua Chen, Kaibin Feng, Shanshan Wang, Xiaoqing Zhao, Xingxing Rong, Pengyao Qin, Junpeng Zhao, Wei Li

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‘In the shadows of a giant?’ A spatial analytical method for assessing coastal proximity using R: a case-study from the Bronze Age Saronic Gulf (Greece) by Christopher Nuttall

“…It also demonstrates the potential of R and spatial statistics as powerful tools for archaeological inquiry, providing new perspectives on traditional interpretations of ancient settlement patterns.…”
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Spatial-temporal dynamics and driving factors of urban construction land in mega cross-river mountain cities: A case study of Chongqing's central urban area, China. by Fu-Hai Wang, Wei Zeng, Dan Chen, Chang-Hua He, Hui Li

“…Conversely, the conversion from construction land to arable land also displays a systematic pattern. (3) Since 2010, the growth process of construction land has transitioned from slow-equilibrium to rapid-disequilibrium with an expanding spatial disparity. (4) Most areas maintain relatively stable spatial conditions without significant jumps or transitions observed. (5) The expansion of construction land in Chongqing is primarily influenced by terrain, river, tunnel, rail transit, and other factors. …”
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Multi-scale spatial differentiation and formation mechanisms of rural settlements (RS): a Geodetector-based analysis in the middle-lower yellow river basin (ML-YRB), China by Xiaoping Zhang, Xiaoping Zhang, Lu Yu, Xin Wen, Lijing Li, Huabin Xiao, Xunxi Yin

“…Using nearest neighbor analysis, kernel density estimation and spatial autocorrelation, the study systematically reveals the spatial distribution patterns and scale-dependent differences of RS in ML-YRB at city, county, and town scales. …”
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Different lockdowns and theft: a Bayesian analysis of COVID-19's impact on urban crime in ZG City, China by Xinhua Huang, Dongping Long, Heng Liu

“…The main contribution of this study is that it provides a comprehensive assessment of the contrasting impacts of the complete and refined lockdown on the temporal and spatial patterns of theft. These insights provide a scientific basis for effective crime prevention and urban governance strategies during emergencies.…”
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