Une régulation du centre au détriment des franges métropolitaines. Le déplacement spatial des achats de logements neufs par les ménages investisseurs dans la métropole toulousaine... by Nicolas Ausello

“…The aim of this article is to highlight the spatial evolution of the distribution of new housing sales to investors in the French metropolis of Toulouse, the majority of whom are households. …”
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Spatiotemporal Distribution and Evolution of Global World Cultural Heritage, 1972–2024 by Yangyang Lu, Qingwen Han, Zheng Zhang, Zhong Sun, Jian Dai

“…Taking 992 world cultural heritage (WCH) sites as the research object, the spatial distribution and evolution characteristics of WCH were analyzed by kernel density analysis, mathematical statistics, standard deviation ellipse, among other methods, and nine correlation factors were selected to explore the mechanism underlying the spatial and elevation-dependent distribution patterns of WCH and their sensitivity to climate change by using geographic detectors and multi-scale geographically weighted regression (MGWR) models. …”
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Spatial Estimation of Losses Attributable to Meteorological Disasters in a Specific Area (105.0°E–115.0°E, 25°N–35°N) Using Bayesian Maximum Entropy and Partial Least Squares Regre... by F. S. Zhang, S. B. Zhong, Z. T. Yang, C. Sun, C. L. Wang, Q. Y. Huang

“…The spatial mapping of losses attributable to such disasters is now well established as a means of describing the spatial patterns of disaster risk, and it has been shown to be suitable for many types of major meteorological disasters. …”
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Spatiotemporal Mapping of Grazing Livestock Behaviours Using Machine Learning Algorithms by Guo Ye, Rui Yu

“…While most previous studies have monitored grassland health using vegetation indices, such as NDVI and LAI, fewer have investigated livestock behaviours as direct drivers of grassland degradation. In particular, the spatial clustering and temporal concentration patterns of livestock behaviours are critical yet underexplored factors that significantly influence grassland ecosystems. …”
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Spatio-Temporal Influencing Factors of the Coupling Coordination Degree Between China’s New-Type Urbanization and Transportation Carbon Emission Efficiency by Han Jia, Weidong Li, Runlin Tian

“…This study focuses on the coupling and coordination between China’s new-type urbanization (NU) and transportation carbon emission efficiency (CET), revealing its spatial and temporal evolution patterns and driving factors. …”
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Towards ecological security: Two-thirds of China’s ecoregions experienced a decline in habitat quality from 1992 to 2020 by Qiang Xue, Yang Zhang, Qingmin Zhang, Qingxia Wu, Xiaojing Zhang, Lu Lu, Changbo Qin

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Topic modeling analysis of the Allen Human Brain Atlas by Letizia Pizzini, Filippo Valle, Matteo Osella, Michele Caselle

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Integrating multi-model frameworks to unravel the spatiotemporal dynamics of flash floods in the Tianshan Mountain, China by Biao Zhang, Haiyan Fang, Guotao Zhang, Songqing Li, Shufang Wu, Kadambot H.M. Siddique

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Das capitais às comunidades tradicionais. Fases de interiorização da Covid-19 na Amazônia brasileira by João Paulo Soares De Cortes, Rui Massato Harayama, Emilie Stoll

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Climate and Substrate Stoichiometry Co‐Regulate Free‐Living Nitrogen Fixation at Regional and Global Scales by Haixiao Dai, Zekang Liu, Ali Bahadur, Mianhai Zheng, Jihua Wu

“…Here, we conducted two field experiments and a global synthesis to assess the regulatory patterns of free‐living BNF at both regional and global scales. …”
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A framework for modeling county-level COVID-19 transmission by Yida Bao, Iris Huang, Qi Li, Zheng Zhang, Yuan Xing, Dongfang Hou, Jiafeng Ye

“…While certain findings align with established research, other variables reveal unexpected patterns. The proposed framework offers a robust template for future investigations where spatial dependence and policy heterogeneity warrant close examination.…”
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Research on the surface water quality in the Huaihe River Basin and the gensis based on multivariate statistical analysis by Shuzhen Feng, Chaokai Zhang, Jiaheng Yan, Ke Ren, Ningbo Peng, Wei Jiang, Shouhua Liu

“…This study explored the latest spatial variation patterns of surface water quality in the HRB to cope with the increasingly severe challenges of water resource management. …”
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Spatiotemporal variation characteristics of extreme temperature events in Hainan Province over the past four decades by Qiuhao Yun, Qiang Zhang

“…Understanding the temporal and spatial patterns of extreme temperature events in Hainan Province is crucial for formulating effective strategies for mitigating meteorological disasters and safeguarding agricultural productivity.MethodsThis study uses observational data from 21 meteorological stations in Hainan Province from 1980 to 2022. …”
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A comparison of floating catchment area parameters with applications to a dataset of clinics enrolled in a statewide child and adolescent psychiatric consultation program by Jocelyn Hunyadi, Jocelyn Hunyadi, Lara S. Savas, Kehe Zhang, Kehe Zhang, Jeanette E. Deason, Ryan Ramphul, Melissa F. Peskin, Erica L. Frost, Cici Bauer, Cici Bauer

“…Using the 2SFCA method, we further compared accessibility patterns across two kernel density distance decay functions for 10 catchment area specifications.ResultsAs expected, spatial accessibility measures, such as the spatial accessibility ratio (SPAR), are sensitive to input parameters, particularly the catchment area. …”
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Spatiotemporal Evolution and Driving Factors of LULC Change and Ecosystem Service Value in Guangdong: A Perspective of Food Security by Bo Wen, Biao Zeng, Yu Dun, Xiaorui Jin, Yuchuan Zhao, Chao Wu, Xia Tian, Shijun Zhen

“…ESV showed significant positive spatial autocorrelation, with stable agglomeration patterns across the province. …”
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Variability and distribution of salinity and sodicity levels in fine-textured soils adjacent to brine shrimp farming in inland freshwater areas of Thailand by Kiattisak Sonsri, Phanuwit Poolsab, Yutthana Phankamolsil, Napaporn Phankamolsil

“…The results revealed that soil EC _e values at various depths collected from two periods varied from 0.18–13.63 dS m ^–1 ( $\tilde{x}$ = 2.06 dS m ^–1 ). Spatial distribution of salinity levels based on IDW estimation exhibited similar patterns among soil depths in both August and February. …”
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THE US GLOBAL CITIES AS HUBS FOR FOREIGN TRANSNATIONAL CORPORATIONS by M. E. Pilka, N. A. Sluka

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Representativeness of mixed samples for evaluation of organic carbon in soil by N. B. Khitrov

“…The soil sampling was carried out on 4 fields ranging from 6 to 16 hectares (Tver region). The soil cover pattern is represented by patches of agrosod-podzolic gleyic sandy loam and loam soils (Albic Retisols (Aric, Loamic)) developed from binary deposits and agrosod-podzols (Albic Podzols (Aric, Arenic)) developed from sands underlying loamy moraine from the depth 80–150 cm. …”
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Evaluation of the land value-added benefit brought by urban rail transit: The case in Changsha, China by Wenbin Tang, Qingbin Cui, Feilian Zhang, Hongyan Yan

“…A case study of the Changsha Metro Line 2 in China is discussed to demonstrate the procedure, model, and analysis of spatial impact. The empirical analysis shows a dumbbell-shaped impact on the land value-added benefit along the transit line with a distance-dependent pattern at each station. …”
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Analysis of Four Meteorological Factors Affecting Aviation Safety in Yunnan by Baojun WU, Mingsheng CHEN, Minhong SONG, Weiguo XIANG

“…In order to investigate the four key meteorological factors affecting aviation safety and their regional variations in Yunnan， research employed daily and hourly ground observation data from 125 meteorological stations across Yunnan from 2010 to 2021， as well as airport ground observation data from Tengchong Tuofeng Airport during 2013 -2019.Initially， an analysis was conducted on the primary seasonal variations of key meteorological elements in Yunnan.Subsequently， a spatiotemporal evolution analysis was performed for short-duration heavy precipitation and strong wind events during typical seasons at 15 airports.Furthermore， select observational data from typical plateau mountain airports-Tengchong Tuofeng Airport， and compare it with observation data from the Tengchong meteorological station.Analyze the annual frequency of short-duration heavy precipitation events during summer and the daily occurrence periods of spring strong wind events.Ultimately， a complex interrelation analysis among the four categories of meteorological elements was undertaken， followed by an exploration of the spatial distribution patterns of safe and dangerous aviation days in the Yunnan region.The findings revealed the following outcomes： （1） Short-duration heavy precipitation was most pronounced during summer， with areas spanning from Baoshan through Lincang to Puer experiencing heightened occurrences.Spring was characterized by prominent strong wind occurrences， particularly in Ninglang and Kunming， both exhibiting an increasing trend in the frequency of windy days.Notably significant was the occurrence of low visibility during autumn， predominantly observed in the southwestern region of Yunnan， encompassing Lincang， Cangyuan， Puer， and Xishuangbanna， with an escalating tendency.The spatial distribution of low clouds remained relatively similar across all seasons， with higher occurrence frequencies and distribution areas noted during summer and autumn， as opposed to winter and spring.（2） The occurrence of short-duration heavy precipitation events in summer exhibited a distinct positive correlation with precipitation amount， and the timing of occurrences aligned well with the primary operational periods of the airports.Variances in springtime strong wind events were noticeable among airports， predominantly transpiring between 14:00 and 23:00 （Beijing time）.（3） The localized nature of weather systems results in frequency disparities in weather phenomena occurring at airport locations compared to their surrounding areas， while maintaining a correlation in their patterns of variability.（4） Notably elevated were the average numbers of safe aviation days in the northern region along the Dali-Kunming alignment， compared to the southern areas of Yunnan.The majority of Yunnan's locales exhibited a declining trend in safe aviation days， whereas dangerous days were concentrated along the eastern vicinity of Puer to the western border of Wenshan， presenting an increasing trend along the Diqing-Lijiang-Kunming westward direction.…”
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