Exploring urban land surface temperature with geospatial and regression modelling techniques in Uttarakhand using SVM, OLS and GWR models by Waiza Khalid, Syed Kausar Shamim, Ateeque Ahmad

“…Hotspot analysis with Getis-Ord Gi∗ revealed spatial distribution patterns of LST. Regression analysis showed significant relationships: a strong positive correlation between LST and NDBI (R2 = 0.78) and a substantial negative correlation between LST and NDSI (R2 = −0.80). …”
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Unveiling the water-energy-food nexus efficiency and influencing factors in China: An integrated EBM and Tobit model analysis by Yangxi Lv, Shiyu Yan, Xuanman Lai, Shimiao Luo

“…Results reveal that: (1) China’s WEFN system efficiency exhibits a fluctuating pattern in which the water subsystem is the limiting factor. (2) The inter-provincial WEFN system’s efficiency has notable spatial differences, with the eastern region outperforming the central and western regions. (3) There is significant spatial agglomeration between regions, with high-high (H-H) clusters predominantly in the Beijing-Tianjin-Hebei area, whereas low-low (L-L) clusters are primarily located in central and western provinces. (4) From the perspectives of both geographic location and efficiency distribution, per capita arable land (PCA) has been identified as a critical factor affecting the WEFN system efficiency. …”
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Study on the spatio-temporal coupling and drivers of agricultural carbon emission efficiency and food security by Anzhi Liu, Shuguo Yang

“…Both agricultural carbon emissions and carbon sinks in the Yellow River Basin are significantly elevated; 2) The general trend of agricultural carbon emission efficiency and food security is increasing, spatially characterised by a pattern of high levels in the north and south, and low levels in the south and high levels in the north, respectively. …”
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Multi-Scenario Simulation Evaluation and Strategic Zoning of Habitat Services Based on Habitat Quality and Ecological Network: A Case Study of Lanzhou City by Jin Shi, Xianglong Tang

“…The coupling coordination degree of the four scenarios generally lies within a mild imbalance level, with a spatial distribution pattern characterized by “high in the west and low in the east”. …”
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Memory-Based Navigation in Elephants: Implications for Survival Strategies and Conservation by Margot Morel, Robert Guldemond, Melissa A. de la Garza, Jaco Bakker

“…Existing research suggests that elephants follow established movement patterns, yet direct evidence of intergenerational knowledge transfer is limited. …”
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Distribution, fishery and some features of biology for Sclerocrangon salebrosa and Argis lar (Caridea, Crangonidae) in the northwestern Okhotsk Sea by D. N. Yuriev, V. S. Lukyanov, A. Yu. Povarov

“…According to results of the trawl survey in 2019, spatial distribution patterns for S. salebrosa and A. lar coincide in details in the northern Okhotsk Sea: both species are distributed at the depth between 20–145 m, with the densest aggregations (> 60 % of both stocks) located between Bolshoi Shantar Island and the northern tip of Sakhalin, southward from 55о 30′ N, where their biomasses reach 434 kg/km2 for S. salebrosa and 68 kg/km2 for A. lar. …”
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On protected areas and other effective area-based conservation measures to conserve biodiversity. Exploring their contribution to Colombian snakes by Karina Gisell Rey Pulido, Santiago José Elías Velazco

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Attention dual transformer with adaptive temporal convolutional for diabetic retinopathy detection by Mishmala Sushith, Ajanthaa Lakkshmanan, M. Saravanan, S. Castro

“…The fine patterns like microaneurysms, and larger anatomical regions, including hemorrhages are focused on dual spatial transformer block which provides comprehensive and detailed analysis of spatial features. …”
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Co‐benefits between biodiversity and hydrological ecosystem services allow an efficient conservation planning proposal for the Riviera Maya, Mexico by Juan Alberto Aguilar‐Sánchez, Melanie Kolb

“…The results confirm the following: (1) biodiversity and HES priority sites have different spatial patterns, sharing only 24% of priority sites; (2) HES priority sites achieve a high percentage (95%) of biodiversity conservation targets, showing that they can potentially be used for biodiversity representation; and (3) integrating HES and biodiversity into one model is more efficient to represent conservation targets than considering both elements individually (46% vs. 66% of the study area). …”
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Spatiotemporal Evolution and Obstacle Factor Analysis of Land Ecological Security in the Surrounding Areas of Beijing, China by Yutong Wang, Jianyu Yang

“…Using Natural Breaks classification and hotspot and coldspot analysis, the study explores the temporal trends and spatial patterns of land ecological security. The obstacle degree model identifies constraining factors, and geographically weighted regression analyzes spatial heterogeneity. …”
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Assessment and Prediction of Carbon Storage Based on Land Use/Land Cover Dynamics in the Gonghe Basin by Hong Jia, Siqi Yang, Lianyou Liu, Hang Li, Zeshi Li, Yixin Chen, Jifu Liu

“…Land use pattern is a dominant factor causing carbon storage changes in terrestrial ecosystems and is crucial for maintaining the stability of carbon storage. …”
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Can the Coordinated Development of Land Urbanization and Population Urbanization Promote Carbon Emission Efficiency? A Multi-Scale Heterogeneity Analysis in China by Hanlong Gu, Qi Liu, Ming Cheng, Chongyang Huan, Bingyi Wang, Jiaqian Wu

“…The results indicate that CDLUPU levels exhibited a sustained upward trend with diminishing regional disparities, whereas <i>CEE</i> displayed a pattern of initial growth followed by decline. Spatial analyses revealed a consistent gradient structure for both CDLUPU and <i>CEE</i>, characterized by radiation decay from southeastern coastal hubs toward interior hinterlands. …”
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The role of cognitive control in the interaction of the SNARC and MARC effects by Dandan Zhou, Yu Zhao, Kemeng Qu, Qi Chen

“…We then performed an event related potentials study. The response patterns observed in the P300 component support the hypothesis that cognitive conflict levels influence spatial-numerical associations. …”
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IEDSFAN: information enhancement and dynamic-static fusion attention network for traffic flow forecasting by Lianfei Yu, Ziling Wang, Wenxi Yang, Zhijian Qu, Chongguang Ren

“…Most of the existing traffic flow forecasting methods are static graph convolutional networks based on prior knowledge, ignoring the special spatial–temporal dynamics of spatial–temporal data. …”
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Advantages and potentials of SuperDove imagery for fine monitoring of suspended particulate matter in estuaries and tidal channels by Peng Li, Shenliang Chen, Congliang Xu, Wenjuan Wu, Jiarui Qi, Yinghai Ke, Hongyu Ji, Shihua Li, Xiaojing Zhong

“…Moreover, for commonly used satellite data, the spatial resolution of 3–30 m is required to characterize the details of SPM distribution, and the observation frequency of at least 1/1d is necessary to capture monthly change pattern of SPM, which demonstrated that SD imagery has great potential for monitoring SPM or other parameters in high-turbidity, strong-dynamic and small-scale waters.…”
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Spatiotemporal heterogeneity and its influencing factors: a perspective on the carbon emissions in China’s beef cattle industry by Yumeng Sun, Mingli Wang

“…Emissions grow at a slower rate in the eastern region, while the emission levels in the central and western regions, particularly in the western region, are significantly higher than the national average.1 (2) Carbon emissions exhibit “high-high” and “low-low” spatial agglomeration patterns. Emission reduction is effective in the eastern region, while the central region is gradually catching up. …”
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Comprehensive evaluation model of ecotourism, economic development and ecological environment-taking Shennongjia National Park as an example by Xin Cui

“…However, increased tourist numbers correlate with heightened ecological pressure, notably vegetation degradation and water quality decline in core scenic areas (e.g., Shennongding). Spatial analysis reveals significant positive correlations among ecotourism, economic growth, and ecological pressure (global Moran’s Index), with “high-high” and “low-low” clustering patterns. …”
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Theoretical analyses for the evolution of biogenic volatile organic compounds (BVOC) emission strategy by Sotaro Hirose, Akiko Satake

“…Neighboring plants that eavesdrop on BVOC signals can also increase defenses against herbivores or alter growth patterns to respond to potential risks of herbivore damage. …”
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Spatiotemporal disparities in maternal mortality and the role of multiscale administrative levels: a 20-year study across Chinese counties by Lingfeng Liao, Lingfeng Liao, Fengling Yuan, Fengling Yuan, Yaqian He, Shixi Xu, Xingyi Tang, Mingyu Xie, Xianteng Tang, Zhangying Tang, Guo Zeng, Yumeng Zhang, Yumeng Zhang, Chao Song, Chao Song

“…The spatial Gini coefficient and geographic clustering analyses indicated temporally varying but spatially stable inequities patterns, highlighting the Spatial Inequity Lock-in (SILI) effect. …”
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Design and Operation Principles of a Wave-Controlled Reconfigurable Intelligent Surface by Gal Ben-Itzhak, Miguel Saavedra-Melo, Benjamin Bradshaw, Ender Ayanoglu, Filippo Capolino, A. Lee Swindlehurst

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