Suggested Topics within your search.
Suggested Topics within your search.
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A novel fuzzy inference method for urban incomplete road weight assignment
Published 2024-11-01“…This method uses a Typical Link Pattern (TLP) model to describe the geographical environment. …”
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Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge
Published 2025-01-01“…The distribution of craters exhibits a heterogeneous spatial pattern, with lower kernel density values in the southern hemisphere than in the northern hemisphere, and lower values in the western hemisphere than in the eastern hemisphere. …”
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Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images
Published 2024-11-01“…The cotton spatial distribution pattern developed from dispersion to agglomeration. …”
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Estimating pedestrian traffic with Bluetooth sensor technology
Published 2024-09-01Get full text
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Unveiling intra-urban complexity and identifying urban cores through the lens of living structure using point-of-interest data
Published 2025-07-01“…The resulting substructures exhibit power-law distributions and align closely with human activity patterns across multiple spatial scales in four large cities in China. …”
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Corporate mapping in OpenStreetMap – shifting trends in global evolution and small-scale effects
Published 2025-05-01“…Previous studies have been able to identify global patterns, but their small-scale effects on other non-corporate or volunteer mappers have been difficult to quantify. …”
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Accurate mapping of Spartina alterniflora in Fujian Province using phenological traits derived from Landsat time series
Published 2025-08-01“…It is also found that there are three types of Spartina alterniflora expansion in spatial pattern, driven by morphology, hydrodynamic environment, and biological stress. …”
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Enhancing outlying growth simulation in urban cellular automata via intelligent extraction-fusion of land suitability and neighborhood effects: a case study of Wuhan, China
Published 2025-05-01“…Urban growth has accelerated significantly in recent decades, categorized into two spatial patterns: adjacent and outlying growth. Traditional Cellular Automata (CA)-based models excel at simulating adjacent growth but exhibit limitations in modeling outlying growth, which can be summarized into two issues: 1) the overestimation of neighborhood effects caused by models’ excessive dependence on neighboring cell states; and 2) the ignorance of spatial heterogeneity in the relative importance of land suitability and neighborhood effects on urban growth. …”
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Image-based machine learning and cluster analysis for urban road network: employing Orange for codeless visual programming
Published 2025-05-01“…Urban road networks play a pivotal role in shaping intricate urban spatial patterns as they intricately weave throughout the cityscape, significantly influencing land utilization, spatial arrangements, and the mobility of residents. …”
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Geospatial brain-inspired navigation: a neurocognitive approach for autonomous systems in complex environments
Published 2025-08-01“…Current models often rely on knowledge of the discharge patterns of navigation cells in living organisms (e.g. place/grid cells) to encode spatial information, which works well in ideal environments. …”
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How coarse analysis can obscure key trends - a multi-scale study using very high-resolution intra-urban land data
Published 2025-02-01“…A scale effect assessment strategy based on Spearman’s correlation analysis, Sen’s slope, and Mann-Kendall (MK) trend test was devised to analyze the patterns of change in the driver mining results with spatial resolution. …”
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Glacier surface melt monitoring using Sentinel-1 SAR backscattering coefficient and polarimetric decomposition features at Greenland ice sheet
Published 2025-06-01“…Compared to the National Snow and Ice Data Center (NSIDC) polar daily land freeze/thaw status product, our results revealed consistent spatial patterns of melting, showing discrepancy limited within ± 10 days, possibly due to the detecting penetration depth difference between Sentinel-1 and AMSR2.…”
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Land transformation across agroecological zones reveals expanding cropland and settlement at the expense of tree-cover and wetland areas in Nigeria
Published 2025-05-01“…Evaluating how land cover is being transformed is essential to identify patterns necessary to infer the change trajectories and the driving factors. …”
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