Land and property transfers in the Mont-Blanc region between and 2001 and 2008 by Isabelle André-Poyaud, Sylvie Duvillard, Antonin Lorioux

“…First of all, a communal pattern that is to be explained by social qualitative variables (geographical origin of the individuals) emerges from the mapping of the total transactions. …”
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Diet and Mobility in the Corded Ware of Central Europe. by Karl-Göran Sjögren, T Douglas Price, Kristian Kristiansen

“…We interpret this as indicating a pattern of female exogamy, involving different groups with differing economic strategies.…”
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Recognition Algorithm of AE Signal of Rock Fracture Based on Multiscale 1DCNN-BLSTM by Weihua Wang

“…In the latter half of the model, the BLSTM network was incorporated to extract time series-related features, local spatial uncorrelated features, and weak periodic pattern features from the acoustic emission signal data. …”
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Theorising and illustrating plural policing models in countering armed banditry as hybrid terrorism in northwest Nigeria by Oluwole Ojewale

“…Coordinates of attacks by bandits are georeferenced to show their spatial distribution and pattern. As Nigeria continues to experience the shocks of banditry, the national and subnational governments are providing counter measures to lessen the striking capability of the bandits through four distinct but complementary models of policing. …”
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Quand l’aléa devient la ressource : l’activité d’extraction des matériaux volcaniques autour du volcan Merapi (Indonésie) dans la compréhension des risques locaux by Édouard de Bélizal, Franck Lavigne, Delphine Grancher

“…It is now an essential activity in the spatial organisation of the Merapi volcano, and seems to play a major role in the local socio-economic pattern. …”
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Unveiling inequalities: Racial, ethnic, and socioeconomic disparities in diabetes: Findings from the 2007-2020 NHANES data among U.S. adults by Yangyang Deng, Mohammad Moniruzzaman, Breanna Rogers, Lu Hu, Ram Jagannathan, Kosuke Tamura

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Perceived Neighborhood Social Environment and Adolescent Depressive Symptoms: Insights from the Add Health by Rachel J. Kulchar, Breanna J. Rogers, Sam J. Neally, Alyssa Shishkov, Yangyang Deng, Mohammad Moniruzzaman, Kosuke Tamura

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Understanding the association between neighborhoods and adolescent sleep: Evidence from Add Health by Sam J. Neally, Breanna J.P. Rogers, Yangyang Deng, Mohammad Moniruzzaman, Qian Xiao, Kosuke Tamura

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Spatiotemporal Variations of Cropland Quality and Morphology Under the Requisition–Compensation Balance Policy by Zhuochun Lin, Zejia Chen, Fengyu Zhang, Jiapei Li, Yifei Liufu, Lisiren Cao, Jinyao Lin

“…Therefore, this study aims to thoroughly analyze the impacts of the RCBC policy on the quality and morphology of cropland (especially morphological spatial pattern analysis, MSPA) in the Pearl River Delta (PRD) during 1996–2021. …”
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Reconciling ecosystem service supply-demand mismatches through ecological compensation in the Tibetan plateau by Wenjie Yao, Xiaofeng Wang, Zixu Jia, Xiaoxue Wang, Xinrong Zhang, Xiaoming Feng, Jitao Zhou, Jiahao Ma, You Tu, Xueren Liu, Zechong Sun

“…In this study, ecological modeling combined with hotspot analysis was applied to quantify the spatial mismatch between ecosystem service (ES) supply and demand on the Tibetan Plateau (TP) in 2020. …”
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Numerical Modeling of the Concentration of Microplastics in Lakes and Rivers in Kazakhstan by Natalya S. Salikova, María-Elena Rodrigo-Clavero, Lyudmila A. Makeyeva, Zinep M. Shaimerdenova, Javier Rodrigo-Ilarri

“…The MP concentrations were found to follow an exponential decay pattern from the shore toward the center of the lakes, with higher concentrations near the shoreline. …”
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Natuna Off-Shelf Current (NOC) Vertical Variability and Its Relation to ENSO in the North Natuna Sea by Hariyadi Hariyadi, Johannes Hutabarat, Denny Nugroho Sugianto, Muhammad Faiq Marwa Noercholis, Niken Dwi Prasetyarini, Widodo S. Pranowo, Kunarso Kunarso, Parichat Wetchayount, Anindya Wirasatriya

“…The vertical variability refers to the spatial distribution of NOC pattern at the surface layer, thermocline layer, and deep/bottom layer.  …”
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DMP-PUNet: A novel network for two-dimensional InSAR phase unwrapping under severe noise and complex fringes conditions by Yu Chen, Shuai Wang, Yandong Gao, Yanjian Sun, Jinqi Zhao, Kun Tan, Peijun Du

“…For InSAR data, DMP-PUNet performed stably, with lower noise levels, smooth phase transitions, and deformation spatial patterns and profile shapes that conform to the laws of mining subsidence, averaging a processing time of 1.71 s, outperforming existing methods.…”
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Thermal conditions on the coast of Labrador during the late 18th century by G. Singh, R. Przybylak, R. Przybylak, P. Wyszyński, P. Wyszyński, A. Araźny, A. Araźny, K. Chmist

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Geography versus sociodemographics as predictors of changes in daily mobility across the USA during the COVID-19 pandemic: a two-stage regression analysis across 26 metropolitan ar... by Alain B Labrique, Amy Wesolowski, Derek A T Cummings, Shruti H Mehta, Sunil S Solomon, Rohan Arambepola, Kathryn Schaber, Catherine Schluth

“…Objective We investigated whether a zip code’s location or demographics are most predictive of changes in daily mobility throughout the course of the COVID-19 pandemic.Design We used a population-level study to examine the predictability of daily mobility during the COVID-19 pandemic using a two-stage regression approach, where generalised additive models (GAM) predicted mobility trends over time at a large spatial level, then the residuals were used to determine which factors (location, zip code-level features or number of non-pharmaceutical interventions (NPIs) in place) best predict the difference between a zip code’s measured mobility and the average trend on a given date.Setting We analyse zip code-level mobile phone records from 26 metropolitan areas in the USA on 15 March–31 September 2020, relative to October 2020.Results While relative mobility had a general trend, a zip code’s city-level location significantly helped to predict its daily mobility patterns. …”
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Performance Assessment of Maximum Likelihood, Random Forest and Support Vector Machines Classifier for Urban Land Use Classification: A Case Study of Dhaka Metropolitan City, Bangl... by Ha-mim Ebne Alam, Md. Nizam Uddin, Kazi Tawkir Ahmed, Md. Jahidul Hasan, Md. Yeasir Arafat, Md. Enamul Hoque

“…However, MLC showed a high spatial similarity with RFC and dissimilarity with SVMC. …”
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Characterizing Space‐Time Channel Network Dynamics in a Mediterranean Intermittent Catchment of Central Italy Combining Visual Surveys and Cameras by Simone Noto, Nicola Durighetto, Flavia Tauro, Salvatore Grimaldi, Gianluca Botter

“…Our results highlight the complexity of network dynamics in the study area: while the number of wet nodes decreases during the dry season and increases during the wet season, the local persistency exhibits a highly heterogeneous non‐monotonic spatial pattern, originating a dynamically disconnected network. …”
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Analysis of Spatiotemporal Variation and Driving Forces of Vegetation Net Primary Productivity in the North China Plain over the Past Two Decades by Mingxuan Yi, Dongming Zhang, Zhiyuan An, Kuan Li, Liwen Shang, Kelin Sui

“…The results indicate that vegetation NPP exhibited a fluctuating upward trend over the 21-year period, with an annual increase of 2.60 g C/m². Spatially, NPP displayed a “high in the south, low in the north” pattern. …”
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Extreme precipitation simulation capability of CMIP6 models and their future spatiotemporal evolution: Case study in Poyang Lake Basin, China by Yinxin Ge, Shanghong Zhang, Weiyi Zhou, Linyang Zhao, Qingqing Fang

“…This method demonstrably provides better simulations of interannual distribution and spatial pattern characteristics compared to single models and simple multi-model averages. …”
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Development of a Swelling Model for Strong Expansive Soil Under K₀ Stress State for Building Foundation Applications by Shuangping Li, Bin Zhang, Han Tang, Zuqiang Liu, Junxing Zheng

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