Synergistic Matching and Influencing Factors of Grain Production and Cropland Net Primary Productivity in the Black Soil Region of Northeast China by Quanxi Wang, Jun Ren, Maomao Zhang, Hongjun Sui, Xiaodan Li

“…The findings indicated that grain production and CNPP have been increasing, but the overall spatial pattern of cold hotspots has not changed obviously in the BSRNC from 2000 to 2020. …”
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Epidemiology and determinants of stillbirth disparities in India: a geospatial hotspot clustering study using integrated population-level dataResearch in context by U. Venkatesh, Om Prakash Bera, Ashoo Grover, Siddhant Shastri, Sayantan Chakraborty

“…This study investigates district-level stillbirth patterns across India and evaluates their spatial association with maternal, socio-demographic, and delivery care factors. …”
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Spectral Data-Driven Prediction of Soil Properties Using LSTM-CNN-Attention Model by Yiqiang Liu, Luming Shen, Xinghui Zhu, Yangfan Xie, Shaofang He

“…Additionally, the proposed model outperforms S-AlexNet in effectively capturing temporal and spatial patterns. These findings emphasize the potential of the proposed model to significantly enhance the accuracy and reliability of soil property predictions by capturing both temporal and spatial patterns effectively.…”
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Analyzing Vegetation Heterogeneity Trends in an Urban-Agricultural Landscape in Iran Using Continuous Metrics and NDVI by Ehsan Rahimi, Chuleui Jung

“…Our analysis underscores the complementary roles of these metrics, with spatial autocorrelation metrics excelling in capturing clustering patterns and texture-based metrics highlighting value variability within clusters. …”
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Symbiotic relationship and attribution analysis of digitalization in agriculture, rural, and finance: evidence from China by Xiaojuan Yang, Kai Liu, Weiwei Li, Weiwei Li

“…Using panel data from 30 provinces in China spanning from 2015 to 2021, this paper quantitatively analyzes the dynamic characteristics, spatial patterns, and driving mechanisms of digital agriculture, digital rural and digital finance, and their symbiotic relationships through coupling coordination degree model (CCDM) and geographically and temporally weighted regression (GTWR). …”
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MAPPING EARTHQUAKE MAGNITUDES IN BENGKULU PROVINCE AND SURROUNDING AREAS USING ROBUST ORDINARY KRIGING by Baki Swita, Mulia Astuti, Fachri Faisal, Aang Nuryaman

“…This research investigates the geographical distribution of earthquake magnitudes in Bengkulu Province and surrounding areas from 2000 to 2023. Understanding these spatial patterns is crucial for enhancing disaster preparedness and risk mitigation strategies in this high-risk region. …”
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Global analysis of the influence of environmental variables to explain ecological niches and realized thermal niche boundaries of sea snakes. by Carlos Patrón-Rivero, Luis Osorio-Olvera, Octavio Rojas-Soto, Xavier Chiappa-Carrara, Fabricio Villalobos, Brooke Bessesen, Kevin López-Reyes, Carlos Yañez-Arenas

“…Both analyses (the importance of variables and realized thermal limit asymmetry) were performed at three taxonomic levels (sea snakes as a lineage of marine-adapted elapids [true sea snakes + sea kraits], subfamily, and genus) and two spatial resolutions. Overall, we found that temperature, silicate, nitrate, salinity, and phosphate concentrations were the most influential factors in explaining the spatial distribution patterns of sea snakes, regardless of taxonomic level or spatial resolution. …”
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Characterizing bed roughness on the Antarctic continental margin by Santiago Munevar Garcia, Lauren Elizabeth Miller, Francesca Anna Maria Falcini, Leigh Asher Stearns

“…Important spatial patterns can be discerned from high-resolution bathymetry, highlighting both its usefulness in identifying patterns of streaming ice flow and underscores the need for a standardized way of characterizing topographic variability.…”
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Spatiotemporal interactions facilitate sympatry in a diverse mammalian community by Vratika Chaudhary, Varun R. Goswami, Chandan Ri, James E. Hines, Madan K. Oli

“…Herbivores exhibited neither spatial nor temporal separation with each other. All apex predators exhibited diel activity and space‐use patterns to overlap with their preferred prey. …”
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From Dispersed Urban Areas to Territories- in-between by Alexander Wandl

“… The dissertation began with the observation that there is an increasing body of literature suggesting that the conventional idea of a gradual transition in spatial structure from urban to rural does not properly reflect contemporary patterns of urban development and their potential for sustainable development. …”
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Spatiotemporal evolution of carbon emissions and influencing factors in county-level based on nighttime lighting data: a case study in Huaihai economic zone core city by Zihan Wu, Bo Sun, Xiang Ji

“…The results showed that: (1) From 2001 to 2021, the total carbon emissions of counties increased from 63.42 Mt to 279.89 Mt, and the distribution pattern of the region is “high in the middle and low in the east and west.” (2) Carbon emissions have significant positive spatial correlations, with the global Moran’s I index showing a wave-like downward trend from 0.233 to 0.0954, indicating that the spatial concentration of carbon emissions in different counties is gradually decreasing, and the differences show a trend of narrowing. (3) Significant spatial and temporal heterogeneity is among the influencing factors. …”
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The impact of land resources dual misallocation on the over-investment of enterprises by WANG Min, PENG Shangui, YANG Haoda, YU Xinyuan, HU Yuying

“…[Conclusion] We recommend to reasonably adjust the spatial pattern of the allocation of construction land, and actively promote the market-oriented allocation of land factors, so as to alleviate over-investment and improve the investment efficiency of enterprises.…”
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Rural Resilience Evaluation and Risk Governance in the Middle Reaches of the Heihe River, Northwest China: An Empirical Analysis from Ganzhou District, a Typical Irrigated Agricult... by Jing Huang, Dongqian Xue, Mei Huang

“…Main conclusions: (1) The overall rural resilience index is relatively low, showing significant spatial disparities. Towns with well-developed multifunctional agriculture, nature reserves, and ecological-cultural control lines have higher resilience indices. (2) The change rate of the rural resilience index demonstrates phase heterogeneity, generally undergoing a “relative stability-increase-decrease” process, and forming a differentiation pattern of “decrease in the north and increase in the south”. (3) Internal risks to rural resilience development in the Ganzhou District mainly stem from low economic efficiency, fragile ecological environment, and unstable landscape patterns, among which efficiency-dominant and landscape-stability obstacle factors have a broader impact scope, while habitat resistance-type obstacle factors are mainly concentrated in the western part and suburban areas. …”
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Mosquito ecology surveillance and analysis in Yangpu District， Shanghai from 2019 to 2023 by LU Chonghua, ZHANG Jie, ZONG Lili

“…ObjectiveTo delineate the species composition structure and seasonal density fluctuations of mosquito populations in Yangpu District, Shanghai, and to provide scientific insights for the prevention and control of vector-borne diseases.MethodsA total of 12 monitoring sites from different habitats were selected to conduct adult mosquito monitoring using the CO2 trap light method during 2019‒2023, elucidating the temporal and spatial distribution and change patterns of mosquito populations and densities in Yangpu District.ResultsFrom 2019 to 2023, a total of 1 321 female mosquitoes was captured, with an overall density of 0.16 case·(lamp·h)-1. …”
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Monitoring the coastal–offshore water interactions in the Levantine Sea using ocean color and deep supervised learning by G. Baaklini, J. Brajard, L. Issa, G. Fifani, L. Mortier, R. El Hourany

“…These pinching-off events, especially observed along the Lebanese coast, manifest in various patterns that evolve simultaneously. Typically, these patterns have a relatively short lifespan of a few weeks, appearing and disappearing rapidly. …”
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Churches of Greater Mumbai – a physio-cultural appraisal by Braganza Charlotte, Mukherji Dipti

“…It brings out the emerging spatial pattern of churches in Greater Mumbai as well as the changes that have taken place over a period of time. …”
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Categorization and Conceptualization of Space in Descriptive Text by Y. N. Varfolomeeva

“…The study of the semantics of verb predicates of descriptive text, the identification of integrating and differential seme, contributing to the isolation of various lexical-semantic groups of verb predicates and building the patterns implemented in the description of spatial relationships appears to be significant. …”
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Seasonal influence of rainfall and crops on home range expansion by bull elephants by Ferrel Osborn

“… 'Knowledge of distribution and movement patterns in relation to their environment is essential if elephants are to be effectively managed because crop raiding is spatial and temporal in nature.' …”
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Identification and attribution analysis of integrated ecological zones based on the XGBoost-SHAP model: A case study of Chengdu, China by Xiaobin Huang, Xiaosheng Liu, Yuanhang Jin, Xue Gao, Youliang Chen

“…From 2000 to 2020, farmland decreased by 11.64 %, while ecological land increased by 219.68 km2. (2) ESV followed a “rise–decline–rise” trend with a net decrease of 0.752 billion CNY and a spatial pattern of “high in the northwest, low in the center.” …”
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Long time-series and high-frequency ecological evaluation of Henan section of the Yellow River by Jianzhong Guo, Daozhu Xu, Jian Xu, Ruoxin Zhu, Ning Li

“…In terms of monthly ecological environment quality, the ranking from best to worst was May, September, October, November, December, January, August, April, July, March, June, and February, exhibiting a pattern of ‘double peaks’ and ‘double valleys’. To further elucidate the spatial-temporal distribution pattern, fluctuations, change trends, and future evolution trends of the ecological environment quality, we conducted coefficient of variation fluctuation analysis, Theil-Sen's slope estimation, Mann-Kendall test, and Hurst index calculation. …”
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