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Structural Efficiency and Robustness Evolution of the US Air Cargo Network from 1990 to 2019
2021
Complexity
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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
ROBUST BUILDING FOOTPRINT EXTRACTION FROM BIG MULTI-SENSOR DATA USING DEEP COMPETITION NETWORK
2019
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
2022
International Journal of Environmental Research and Public Health
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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]
2018
arXiv
pre-print
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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
2021
Ecological Indicators
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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
2016
Economic Horizons
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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
2022
International Journal of Environmental Research and Public Health
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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)
2009
2009 17th International Conference on Geoinformatics
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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
2008
2008 IEEE International Conference on Signal Image Technology and Internet Based Systems
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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
2003
Data Science Journal
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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
2015
Journal of Geographic Information System
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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
2021
Zenodo
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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
2017
Science China Information Sciences
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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
2018
Sustainability
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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
DECOMPOSING REGIONAL EFFICIENCY*
2011
Journal of Regional Science
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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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