Results 31 to 40 of about 4,294,785 (258)
Generating millions of transport scenarios from a large scale digital twin
EPJ Data ScienceIn the development of city planning since the middle of the last century, there have been severe difficulties in generating more than a handful of plans to test.
Richard Milton +3 more
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Urban, Planning and Transport ResearchThis paper investigates the relationship between passenger rail interventions in Greater London and deprivation indices in affected station catchment areas.
Matthew Whearty +2 more
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The angular nature of road networks
Scientific Reports, 2017 Road networks are characterised by several structural and geometrical properties. The topological structure determines partially the hierarchical arrangement of roads, but since these are networks that are spatially constrained, geometrical properties ...
Carlos Molinero +2 more
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Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility
ISPRS International Journal of Geo-Information, 2019 This study describes the integration and analysis of travel smart card data (SCD) with points of interest (POIs) from social media for a case study in Shenzhen, China.
Yuanxuan Yang +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata +9 more
wiley +1 more source
Regularized Principal Component Analysis for Spatial Data
, 2016 In many atmospheric and earth sciences, it is of interest to identify dominant spatial patterns of variation based on data observed at $p$ locations and $n$ time points with the possibility that $p>n$. While principal component analysis (PCA) is commonly
Huang, Hsin-Cheng, Wang, Wen-Ting
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Remote Sensing, 2014 The benefits of tree canopy in urban and suburban landscapes are increasingly well known: stormwater runoff control, air-pollution mitigation, temperature regulation, carbon storage, wildlife habitat, neighborhood cohesion, and other social indicators of
Jarlath O'Neil-Dunne +2 more
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Exploring the Sensitivity of Recurrent Neural Network Models for Forecasting Land Cover Change
Land, 2021 Recurrent Neural Networks (RNNs), including Long Short-Term Memory (LSTM) architectures, have obtained successful outcomes in timeseries analysis tasks. While RNNs demonstrated favourable performance for Land Cover (LC) change analyses, few studies have ...
Alysha van Duynhoven +1 more
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Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
Functional principal component analysis of spatially correlated data [PDF]
, 2016 This paper focuses on the analysis of spatially correlated functional data. We propose a parametric model for spatial correlation and the between-curve correlation is modeled by correlating functional principal component scores of the functional data ...
Hooker, Giles, Liu, Chong, Ray, Surajit
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