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2661
Temporal and spatial herbarium density of Favratia zoysii (Wulfen) Feer (Campanulaceae): Insights into type material and historical distribution of an alpine endemic
Published 2025-06-01“…Additionally, we analysed the frequency and geographic distribution of herbarium specimens, a concept referred to as temporal and spatial herbarium density. This combined typification and spatial-temporal analysis not only strengthens the taxonomic clarity of the species, but also provides valuable insights into its botanical history, distribution patterns and conservation needs.…”
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2662
Multi-scenario simulation of carbon stock and landscape ecological risk changes in Jinpu new area and analysis of spatial conflict relationships
Published 2025-07-01“…The results showed that: (1) from 2019 to 2023, the higher carbon stock areas and the ecological higher-risk areas generally expand; (2) from 2025 to 2027, under different development scenarios, higher carbon stock and higher-risk areas showed different changes, according to the distribution of spatial conflicts between the two, the significant common zones of conflict were distributed in the central, southern, and southeastern parts of the study area, while in the northern and eastern parts of the study area, the spatial conflict distribution of the natural development and cropland protection scenarios is significantly lower than the urban development scenarios, so future land use development patterns can be optimized by combining the respective characteristics of natural development and cropland protection scenarios. …”
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2663
Spatial transcriptomics reveal PI3K-AKT and metabolic alterations in aggressive, treatment-resistant lactotroph pituitary neuroendocrine tumors
Published 2025-05-01“…We did not observe any such pattern. All of these findings were corroborated in the cohort of DA-resistant PitNETs in which only bulk WTS and WES were performed. …”
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2664
Sustainability, Spatial Justice and Social Cohesion in City Planning: What Does a Case Study on Urban Renaturalisation Teach Us?
Published 2025-03-01“…This study addresses these issues and aims to analyse the perceptions and evaluations of the resident population of Pontevedra about urban spaces in the framework of a renaturalisation project, integrating socio-demographic and spatial justice factors. Quantitative methods such as factor analysis, cluster analysis and multiple regression were used to identify patterns of satisfaction and the use of urban spaces. …”
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2665
Exploring the Spatial Distribution Characteristics and Correlation Factors of Wayfinding Performance on City-Scale Road Networks Based on Massive Trajectory Data
Published 2021-01-01“…Finally, taking 20,000 taxi drivers in Beijing as a case study, experimental results show the following: (1) Taxi drivers’ wayfinding performances show a spatial pattern of a high level on arterial road networks and a low level on secondary networks, and they are spatially autocorrelated. (2) The correlation factors of taxi drivers’ wayfinding performances mainly include anchor point, road grade, road importance, road complexity, origin-destination length, and complexity, and each factor has a different influence. (3) The path complexity has a higher correlation with the wayfinding performance level than with the path distance. (4) There is a critical point in the taxi drivers’ wayfinding performances in terms of path distance. …”
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2666
Evaluation of Toxicity Potential and Spatial Distribution of Ecological Risk of Heavy Metals in Surface Sediments of Anzali International Wetland Using GIS
Published 2022-12-01“…In addition, the distribution of toxicity and ecological risk of metals in different parts of the wetland does not follow the same pattern and the western parts of the wetland have more risks. …”
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2667
Characterizing, predicting, and mapping of soil spatial variability in Gharb El-Mawhoub area of Dakhla Oasis using geostatistics and GIS approaches
Published 2022-09-01“…Cross-validation results indicated that the selected models are the best-suitable semi-variogram models for estimation and mapping the spatial pattern surfaces of the soil attributes studied. …”
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2668
Exploring the correlation between spatial heterogeneity of urban tourism and the degree of crowd gathering: Take the main area of Wuhan, China as an example
Published 2025-10-01“…Using the Geographically Weighted Regression model, it analyzes the factors influencing tourism spatial heterogeneity. Additionally, Baidu Heat map data is employed to identify crowd aggregation levels during holidays, revealing the distribution patterns of urban tourism space. …”
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2669
Application of fluid dynamics in modeling the spatial spread of infectious diseases with low mortality rate: A study using MUSCL scheme
Published 2024-12-01“…By treating susceptible, infected, and treated population densities as fluids governed by a system of partial differential equations, the study simulates the epidemic’s spatial dynamics. The Monotone Upwind Scheme for Conservation Laws is employed to enhance the accuracy of numerical solutions, providing a high-resolution approach for capturing disease transmission patterns. …”
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2670
Spatial identification and corridor network analysis of cultural heritage based on multi-model fusion: A case study of western Henan
Published 2025-09-01“…Overall, it presents a spatial pattern of “three cores, multiple nodes, and belt-like distribution,” with Luoyang, Dengfeng, and Gongyi as the main centers. …”
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2671
Identifying the Spatial Range of the Pearl River Delta Urban Agglomeration from a Differentiated Perspective of Population Distribution and Population Mobility
Published 2025-01-01“…The results show that the spatial range identified by NTL_LS has an accuracy of 80.37% and a kappa coefficient of 0.5225, while NTL_HM achieves an accuracy of 89.17% with a kappa coefficient of 0.7342, indicating that the fusion of economic level with population mobility data more accurately reflects the spatial range of urban agglomerations in line with real development patterns. …”
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2672
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Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm
Published 2024-11-01“…The results show that: (1) From 2000 to 2035, China’s total carbon emissions increased year by year, but the growth rate of carbon emissions gradually decreased; The carbon emission structure is “secondary industry > residents’ life > tertiary industry > primary industry”, and the growth rate of carbon in secondary industry and residents’ life is faster, while the change trend of primary industry and tertiary industry is smaller; (2) The spatial distribution of carbon emissions in China’s provinces presents a typical pattern of “eastern > central > western” and “northern > southern”, and the carbon emission centers tend to move to the northwest; (3) The regions with high level of digital economy, advanced industrial structure and new quality productivity have relatively less carbon emissions, which has significant group difference effect; (4) The intensity effect of energy consumption is the main factor driving the continuous growth of carbon emissions, while the per capita GDP and the structure effect of energy consumption are the main factors restraining carbon emissions, while the effects of industrial structure and population size are relatively small. …”
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2674
Spatial-temporal Evolution and Driving Factors of Ecological Environment Quality in Weihe River Basin Based on Remote Sensing Ecological Index
Published 2025-01-01“…However, future projections suggest potential anti-sustainability trends, and the northern part of Huanxian County in Qingyang City and Jingning County in Ping liang City will face the risk of sustainable ecological environment degradation. Land use patterns were identified as the primary factor influencing spatial ecological variation. …”
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2675
Investigating the impact of the future road networks on the spatial integrations in a multicultural Pattani City, Thailand: a space syntax approach
Published 2025-06-01“…Therefore, the implications of future road network planning for the locational patterns of land-use zoning in the neighborhood centers of Pattani are vital for the development of sustainable urban centers.…”
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2676
Integrated hydrogeochemical and spatial assessment of groundwater quality using multivariate statistics and GIS: a case study from northeastern Iran
Published 2025-08-01“…This separation improves the interpretation of quality patterns and management strategies. A total of 1137 groundwater samples were analyzed to assess physicochemical parameters, major ion composition, and spatial trends across two hydrogeological domains: inside and outside the main aquifer system. …”
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2677
InSAR-RiskLSTM: Enhancing Railway Deformation Risk Prediction with Image-Based Spatial Attention and Temporal LSTM Models
Published 2025-02-01“…Traditional monitoring methods often fail to capture the complex spatiotemporal patterns of railway deformation, leading to delayed responses and increased risks of infrastructure failure. …”
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2678
Spatial-temporal Changes and Driving Factors of Cultivated Land Intensive Use in Inner Mongolia Autonomous Region from 1985 to 2018
Published 2022-08-01“…The overall arable land intensification utilization showed a wave-like growth pattern. ② The spatial-level analysis showed that the level of intensive utilization of arable land in each league or city of Inner Mongolia could be divided into five levels by the natural division method, among which Bayannaoer and Hulun Buir League were classified as highly intensive (level Ⅰ); Xilingol League, Hing'an League, Alxa League, and Ordos City were relatively high intensive (level Ⅱ); Hohhot City was generally intensive (level Ⅲ); Chifeng and Tongliao City were relatively extensive (level Ⅳ). …”
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2679
GeneSurfer enables transcriptome-wide exploration and annotation of gene co-expression modules in 3D spatial transcriptomics data
Published 2025-07-01“…We present GeneSurfer, an interactive interface designed to explore localized transcriptome-wide gene co-expression patterns in the 3D spatial domain. Key features of GeneSurfer include transcriptome-wide gene filtering and gene clustering based on spatial local co-expression within transcriptomically similar cells, multi-slice 3D rendering of average expression of gene clusters, and on-the-fly Gene Ontology term annotation of co-expressed gene sets. …”
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2680