Superresolution in separation estimation between two dynamic incoherent sources using spatial demultiplexing by Konrad Schlichtholz, Łukasz Rudnicki

“…Recently, it was shown that perfect measurement based on spatial mode demultiplexing (SPADE) in Hermite–Gauss modes allows one to reach the quantum limit of precision for estimation of separation between two weak incoherent stationary sources. …”
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Spatial Mismatching of Residents’ Visible Greening with Green Coverage under the Influence of Urban Morphology by Danqi Guo, Sophia Shuang Chen

“…The spatial matching between GVI and green coverage was quantitatively characterized alongside their spatial distribution, and the effect of urban morphological factors on GVI was investigated to propose a planning strategy for greening promotion. …”
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Dengue Hemorrhagic Fever in Jepara, Indonesia: Ecological and spatial study based on Environment Parameters by Salsabila Zidny, Martini Martini, Wurjanto Muhammad Arie, Hestiningsih Retno, Yuliawati Sri

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Methodology for Measuring Mobility Emissions with High Spatial Resolution: Case Study in Valencia, Spain by Carlos Jiménez García, María Joaquina Porres de la Haza, Eloina Coll Aliaga, Victoria Lerma-Arce, Edgar Lorenzo-Sáez

“…However, to effectively prioritize and fund mitigating actions, decision-makers lack scientific rigor and diagnoses with sufficient spatial resolution. Based on the Origin-Destination Matrix (ODM), this study suggests a methodology to measure and identify mobility emissions (CO₂, Nox, PM) at the neighborhood level with high spatial resolution. …”
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Economic freedom index effects on inbound tourism in European countries: A spatial analysis. by Sakar Hasan Hamza, Qingna Li, Mohsen Khezri

“…The application of a spatial panel data approach marks a significant methodological advancement in tourism studies, opening new avenues for analyzing economic influences on tourism at a regional level.…”
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Analysis of Spatial-Temporal Characteristics of Operations in Public Transport Networks Based on Multisource Data by Hui Zhang, Yanjun Liu, Baiying Shi, Jianmin Jia, Wei Wang, Xiang Zhao

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Impact of El Niño-Southern oscillation on human leptospirosis in Colombia at different spatial scales by Clara Arias-Monsalve, Alejandro Builes-Jaramillo

“…El Niño Southern Oscillation is the main modulator of climate in Colombia. Our goal was to analyze the changes that occurred in number of cases and incidence rate of leptospirosis during La Niña and El Niño episodes in Colombia at three spatial scales in the period between 2007 and 2015. …”
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Spatial Distribution of Greenhouse Gas Emissions and Environmental Variables in Compost Barn Dairy Systems by Ana Luíza Guimarães André, Patrícia Ferreira Ponciano Ferraz, Gabriel Araujo e Silva Ferraz, Jacqueline Cardoso Ferreira, Franck Morais de Oliveira, Eduardo Mitke Brandão Reis, Matteo Barbari, Giuseppe Rossi

“…This study aimed to measure and assess the presence of GHGs, such as methane (CH₄) and carbon dioxide (CO₂), in a compost barn facility, using spatial variability tools to analyze the distribution of these gasses at different heights (0.25 m and 1.5 m) relative to the animals’ bedding. …”
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Urban Violent Crime Dynamics in Kuala Lumpur and Putrajaya: Utilizing Spatial Temporal Techniques by Mohd Sofian Redzuan, Tarmiji Masron, Adibah Yusuf, Syahrul Nizam Junaini, Yoshinari Kimura, Mohamad Hardyman Barawi, Mohamad Suhaidi Salleh, Ruslan Rainis, Azizul Ahmad

“…The study analyzes the spatial distribution and temporal dynamics of violent crimes, tracks shift in crime hotspots and examines the influence of socio-economic factors on these patterns. …”
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Spatial deciphering of the transcriptomic heterogeneity of tumor spread through air spaces in lung cancer by Wenhao Wang, Wenhao Zhou, Jingli Fan, Tao Jiang, Guang Yang, Congcong Song, Siwei Xu, Haitao Luo, Huining Liu

“…These results were validated in an independent cohort by multiplex immunofluorescence stainings.ConclusionThis study is the first to use DSP to analyze spatial transcriptomic profiles of NSCLC tumor nests and air space tumors, and it identifies potential module features that may be used for STAS identification and prognosis.…”
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Spatial Distribution Characteristics and Driving Factors of Formicidae in Small Watersheds of Loess Hilly Regions by Yu Tian, Fangfang Qiang, Guangquan Liu, Changhai Liu, Ning Ai

“…This study reveals the spatial distribution pattern of Formicidae in the Loess Hilly Region and its complex relationship with environmental factors, and clarifies the importance of considering spatial heterogeneity when analyzing ecosystem processes. …”
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A Study on the Inheritance and Differentiation of Spatial Forms of Vernacular Architecture in the Yunnan–Tibet Area by Kua Wu, Haowei Wang, Heng Liu, Man Yin, Junhua Xu, Mingli Qiang, Yanwei Su

“…This study elucidates the regulatory role of cultural continuity in shaping the spatial forms of vernacular architecture, providing new evidence for analyzing the formation mechanisms of vernacular architecture in the Yunnan–Tibet area.…”
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Characterization of Forested Landscapes from Remotely Sensed Data Using Fractals and Spatial Autocorrelation by Mohammad Z. Al-Hamdan, James F. Cruise, Douglas L. Rickman, Dale A. Quattrochi

“…The characterization of forested landscapes is frequently required in civil engineering practice. In this study, some spatial analysis techniques are presented that might be employed with Landsat TM data to analyze forest structure characteristics. …”
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Spatial Autocorrelation Analysis of CO and NO₂ Related to Forest Fire Dynamics by Hatice Atalay, Ayse Filiz Sunar, Adalet Dervisoglu

“…The increasing frequency and severity of forest fires globally highlight the critical need to understand their environmental impacts. This study applies spatial autocorrelation techniques to analyze the dispersion patterns of carbon monoxide (CO) and nitrogen dioxide (NO₂) emissions during the 2021 Manavgat forest fires in Türkiye, using Sentinel-5P satellite data. …”
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Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting by Alireza Jafari, Geoffrey Fox, John B. Rundle, Andrea Donnellan, Lisa Grant Ludwig

“…This paper addresses the mentioned gap by analyzing different architectures and introducing two innovative approaches called Multi Foundation Quake and GNNCoder. …”
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Analysis of the impact mechanisms and driving factors of urban spatial morphology on urban heat islands by Caiyi Huang, Ke Liu, Tianyi Ma, Hang Xue, Pengfei Wang, Lin Li

“…Ten driving factors linked to urban spatial morphology, land surface, and socioeconomic conditions were selected from 2 and 3D perspectives. …”
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Madrasa-Madhhab Relationship: Spatial Distribution and Typologies of Damascus Madrasas in Nuaymī’s al-Dāris by Harun Yılmaz

“…This article examines the madrasa-madhhab relationship between the 5th (11th) and 10th (16th) centuries based on the book al-Dāris fī Tārīhial-Madāris by the historian of Damascus, ʿAbd al-Qādir al-Nuʿaymī (d. 927/1521), and discusses the spread of madrasas in the city over a period of nearly five centuries by spatially analyzing the data on madrasas. In addition, while evaluating the different views on the madrasa-madhhab relationship put forward in modern studies on the history of madrasas, the article also includes classical sources that constitute the basis for these views. …”
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Spatial Analysis of Dry Valley Floods in Salah Al-Din Governorate and Ramadan Valley by Ali Mukhlif Sabea, Numman Hussain Atea, Sedeak Mustafa Jasim, Hussain Abid Ismaiel

“…The data were combined with the Geographical Information System to analyze the temporal and spatial distribution of flood events in Salah Al-Din Governorate and Ramadan Valley. …”
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Spatial temporal trends and inequality in agricultural eco-efficiency under carbon constraints in China by Shuaibang Fan, Hongyu Lin, Na Luo, Herbert Sima, Yanping Liu

“…Distinct from much of the existing literature, this paper adopts a super-efficiency EBM model that integrates both radial and non-radial perspectives to estimate the eco-efficiency of cultivated land use and identify sources of inefficiency under carbon emission constraints, focusing on 180 prefecture-level cities in China’s major grain-producing regions. Additionally, spatial kernel density estimation is applied to analyze the spatiotemporal dynamics and long-term trends in eco-efficiency, while the Dagum Gini coefficient is used to examine the causes of spatiotemporal disparities. …”
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Study on the impact of China's urban agglomerations' tiered spatial structure on regional economic resilience. by Wei Liang, Deqi Wang, Luqin Gao, Chunyan Li

“…Urban agglomerations serve as crucial spatial carriers of economic development, and their spatial structure profoundly influences regional economic resilience. …”
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