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Structural Efficiency and Robustness Evolution of the US Air Cargo Network from 1990 to 2019

Changsong Zhao, Chunliang Xiu, May T. Lim
2021 Complexity  
We investigated the network structure, efficiency, and robustness of the USACN from 1990 to 2019 due to targeted attacks based on complex network theory from a dynamic and spatiotemporal perspective.  ...  This paper complements previous studies on the dynamic structure evolution of air cargo networks through the lens of complex network theory with spatial-temporal data.  ...  , efficiency, and robustness using longterm data from a spatial-temporal viewpoint, which fills the gaps of research that focus specifically on the air cargo network structures.  ... 
doi:10.1155/2021/9310670 fatcat:x63axblxbfhkzfqjyyobqda4uu


M. Khoshboresh Masouleh, M. R. Saradjian
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this study, we develop and evaluate a deep competition network (DCN) that fuses very high spatial resolution optical remote sensing images with LiDAR data for robust BFE.  ...  Therefore, we conclude that the proposed model is a suitable solution to the robust BFE from big multi-sensor data.  ...  In this regard, the major contributions of this study to the robust BFE from big multi-sensor data using DL algorithms are as follows:  For the architectural structure, an efficient deep competition  ... 
doi:10.5194/isprs-archives-xlii-4-w18-615-2019 fatcat:22vcl6pfg5euvc2kuic2zvlh6y

Spatial Convergence of Carbon Productivity: Theoretical Analysis and Chinese Experience

Meng Sun, Yue Zhang, Yaqi Hu, Jiayi Zhang
2022 International Journal of Environmental Research and Public Health  
the apparent convergence of energy efficiency in provinces and cities.  ...  The convergence hypothesis is tested using China's provincial spatial dynamic panel data from 1995 to 2019.  ...  Data Availability Statement: Not applicable. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph19084606 pmid:35457473 pmcid:PMC9029536 fatcat:m3neaa45ljhxfolyj3rr2jl7x4

Sparse Principal Component Analysis via Variable Projection [article]

N. Benjamin Erichson, Peng Zheng, Krithika Manohar, Steven L. Brunton, J. Nathan Kutz, Aleksandr Y. Aravkin
2018 arXiv   pre-print
We demonstrate a robust and scalable SPCA algorithm by formulating it as a value-function optimization problem. This viewpoint leads to a flexible and computationally efficient algorithm.  ...  Sparse principal component analysis (SPCA) has emerged as a powerful technique for data analysis, providing improved interpretation of low-rank structures by identifying localized spatial structures in  ...  Recent directions in network analysis of turbulence and mixing require robust tracking of sparse spatial structures and vortices.  ... 
arXiv:1804.00341v2 fatcat:qplex3xwkrbazikecnzqzbo37e

Urban spatial structure and total-factor energy efficiency in Chinese provinces

Binbin Yu
2021 Ecological Indicators  
The mechanism and effect of urban spatial structure on total-factor energy efficiency is then empirically tested using the Dynamic Spatial Panel Model (DSPM).  ...  The study found that, for provinces, a poly-centric structure is more conducive to improvements in total-factor energy efficiency with research conclusions still valid following a series of robustness  ...  The finding that an urban spatial structure affects total-factor energy efficiency is then subjected to a series of robustness tests.  ... 
doi:10.1016/j.ecolind.2021.107662 fatcat:stf6pqbvznhu7hi5jr3ubgmsme

The spatial mechanism and drive mechanism study of Chinese urban efficiency: Based on the spatial panel data model

Yuan Xiaoling, Chen Ali
2016 Economic Horizons  
Spatial Lag Panel Data Model The Spatial Lag Panel Data Model is a classic space econometric model.  ...  Data sources and description In The MaxDEA Pro 5.2 software is used in order to measure urban efficiency, and the GeoDa and R are then used to estimate the Spatial Penal Data.  ... 
doi:10.5937/ekonhor1602093x fatcat:v6bu7vdapfgwzpskppgeph5wxq

Carbon Dioxide Emissions Reduction through Technological Innovation: Empirical Evidence from Chinese Provinces

Yanran Liu, Lei Tang, Guangfu Liu
2022 International Journal of Environmental Research and Public Health  
and spatial econometrics models.  ...  The study concluded that (1) technological innovation had a negative direct effect on provincial carbon emissions, while it also showed a spatial spillover effect on neighboring provinces; (2) technological  ...  Data Availability Statement: Data and materials are available from the authors upon request. Conflicts of Interest: The authors declare no competing interest.  ... 
doi:10.3390/ijerph19159543 fatcat:u7ilxwgbcfa3fbimpmm4f6xgtq

AHD: The alternate hierarchical decomposition of nonconvex polytopes (generalization of a convex polytope based spatial data model)

R. Bulbul, A.U. Frank
2009 2009 17th International Conference on Geoinformatics  
Our approach, alternate hierarchical decomposition, AHD, for the decomposition of nonconvex polytopes with arbitrary genus, is a recursive approach whose implementation is robust, efficient and scalable  ...  Our approach decomposes the given nonconvex polytope with arbitrary genus into a set of component convex hulls, which are represented hierarchically in a tree structure, convex hull tree, CHT.  ...  There is a need of researching the decomposition techniques in the spatial data modeling domain, thus developing robust, efficient, and practical algorithms for the decomposition of complex spatial objects  ... 
doi:10.1109/geoinformatics.2009.5293499 fatcat:gf3f5nukevbvhpj2awwpz3vdbi

Improved Geometric Warping-Based Watermarking

Dima Pröfrock, Mathias Schlauweg, Erika Müller
2008 2008 IEEE International Conference on Signal Image Technology and Internet Based Systems  
Additionally, an efficient realisation of the filter is developed and a scheme of watermark embedding is proposed.  ...  The watermark bits are spreaded over the whole frame and coded in the spatial positions of edges and corners.  ...  A higher warping strength results in a higher embedding efficiency (Figurea9) and in a higher watermark robustness.  ... 
doi:10.1109/sitis.2008.36 dblp:conf/sitis/ProfrockSM08 fatcat:3blwygv4fbhkdpe3hwvrum65oa

Spatial data exploratory analysis and usability

D. Josselin
2003 Data Science Journal  
Through a concrete example, we demonstrate and discuss its relevance for exploratory spatial data analysis and usability.  ...  A central ternary relation is enhanced to describe usability. In the second section, we present ESDA with its fundamental basics: i.e. robustness and way(s) to handle data and related graphic tools.  ...  ACKNOWLEDGEMENTS I would like to thank a lot the reviewers and the Codata Journal and Maria for their help in improving this paper (especially the English). 7.  ... 
doi:10.2481/dsj.2.100 fatcat:vyhy6inopnbfrjdhznp3iv5frq

A Holistic Approach for the Development and Implementation of Robust and Cost-Effective Enterprise WebGIS Business Solutions

Gurram Murali Krishna, Kinthada Nooka Ratnam, Pekala Ravi, Panuganti Sridhar
2015 Journal of Geographic Information System  
Recent advancements in internet mapping technology, efficient geospatial data management systems, and availability of different GIS API's have revolutionized the way in which the geospatial data is being  ...  However, development of powerful, highly functional, yet cost-and time-effective enterprise WebGIS business systems requires a very robust and highly scalable architecture.  ...  This is very significant as the system should be able to conversant with diversified nature of spatial features, data structures and values.  ... 
doi:10.4236/jgis.2015.75038 fatcat:jjrtrse6lvhxjggsyrzn25gfcu

A Novel Study for Spatio-Temporal Query Processing using Privacy Preservation

Dileep Kumar
2021 Zenodo  
Finally we will quantify the benefits of our approach using sampled results through experiments that the proposed cloaking algorithm is scalable, efficient and robust to support anonymity irrespective  ...  As Location based services (LBS) equip users to query information specific to a location with respect to temporal and spatial factors thus LBS put under extreme criticism when it comes to location privacy  ...  and robust cloaking algorithm.  ... 
doi:10.5281/zenodo.4661499 fatcat:wmintauf2rfytdkbdxwxevckca

Robust sparse representation based face recognition in an adaptive weighted spatial pyramid structure

Xiao Ma, Fandong Zhang, Yuelong Li, Jufu Feng
2017 Science China Information Sciences  
In this paper, a novel method named robust sparse representation based classification in an adaptive weighted spatial pyramid structure (RSRC-ASP) is proposed.  ...  To fully exploit both the holistic and locality information of face samples, a series of sparse representation based methods in spatial pyramid structure have been proposed.  ...  Efficiency Experiments for comparing the efficiency of different spatial pyramid method are also conducted in extended Yale B, AR and CMU PIE.  ... 
doi:10.1007/s11432-016-9009-6 fatcat:ktpafnmmb5eb3niicexaljsuye

Impacts of Freight Transport on PM2.5 Concentrations in China: A Spatial Dynamic Panel Analysis

Yan Wang, Dong Yang
2018 Sustainability  
The direct and spillover effects of a freight modal shift on PM2.5 concentrations in China, as well as the effects of other socioeconomic factors, were estimated by employing spatial dynamic panel data  ...  The interaction between a freight modal shift and energy efficiency may lead to a decrease in the PM2.5 concentrations, but only in the central and western regions.  ...  Acknowledgments: We thank the anonymous reviewers for their careful reading of the manuscript and their insightful comments and suggestions.  ... 
doi:10.3390/su10082865 fatcat:itmlvo4cpbd23hr3qck7zf6ldi


Axel Schaffer, Léopold Simar, Jan Rauland
2011 Journal of Regional Science  
The findings show that the regions' efficiency is driven by a spatial and a non-spatial, arguably structural factor.  ...  Abstract : Applying an outlier robust extension of the data envelopment analysis (DEA) followed by a geoadditive regression analysis, this study identifies and decomposes the efficiency of 439 German regions  ...  smoothed spatial and a non-spatial, arguably structural, factor.  ... 
doi:10.1111/j.1467-9787.2011.00731.x fatcat:77otii7vfnb5djh3uetk62g3au
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