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@article{bb290302,
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@article{bb290303,
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Neighborhood Context and Citizens' Perception across Multiple Scales",
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Chinese Cities",
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@article{bb290305,
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Multimodal Transport Demand in China: A Focus on Spatial
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@article{bb290307,
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        TITLE = "Do Charitable Foundations Spend Money Where People Need It Most? 
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@article{bb290308,
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Hybrid BP Neural Network",
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@article{bb290309,
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@article{bb290310,
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Education: A Case Study in Florida, US",
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@article{bb290313,
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@article{bb290314,
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@article{bb290315,
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@article{bb290316,
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@article{bb290317,
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@article{bb290318,
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A Case Study in Nanjing",
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@article{bb290319,
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A Case Study of House Sales in Fairfax County, Virginia",
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@article{bb290320,
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@article{bb290324,
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@article{bb290325,
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@article{bb290326,
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@article{bb290327,
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@article{bb290328,
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        TITLE = "Retraction: The Exploration of Urban Material Anabolism Based on RS and GIS
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@article{bb290330,
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@article{bb290331,
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in Krakow",
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@article{bb290332,
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@article{bb290333,
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@article{bb290334,
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@article{bb290335,
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@article{bb290336,
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Service Industry",
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@article{bb290337,
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Policy Analyses, Multi-Scenarios, and Integrated Modelling",
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@article{bb290338,
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@article{bb290339,
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KNN-MCF Method",
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@article{bb290340,
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Peer-to-Peer Accommodation",
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@article{bb290341,
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@article{bb290342,
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@article{bb290343,
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@article{bb290344,
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@article{bb290346,
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@article{bb290347,
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@article{bb290348,
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@article{bb290349,
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@article{bb290350,
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A Case Study of Czech Cities",
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@article{bb290351,
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@article{bb290352,
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@article{bb290353,
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@article{bb290354,
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Interprovincial Border Areas of the Loess Plateau in China: A
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@article{bb290355,
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Weighted Regression: A Case Study in Cracow, Poland",
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@article{bb290356,
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Strategy and a Double-Channel Convolutional Neural Network",
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@inproceedings{bb290357,
        AUTHOR = "Garcia Rueda, G. and Valdovinos, R.M. and Valdes Gonzalez, J. and Alejo, R. and Gonzalez Ruiz, J.L. and Marcial Romero, J.R.",
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Using Data Mining. Case Study: Earthquakes of 2017 in Mexico",
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@article{bb290358,
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recommendation O2O service",
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@article{bb290359,
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@article{bb290360,
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        TITLE = "Spatial Exploration of Economic Data: Insight into Attitudes of
Students towards Interdisciplinary Knowledge",
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@article{bb290361,
        AUTHOR = "Chlon Dominczak, A. and Fiedukowicz, A. and Olszewski, R.",
        TITLE = "Geographical and Economic Factors Affecting the Spatial Distribution
of Micro, Small, and Medium Enterprises: An Empirical Study of The
Kujawsko-Pomorskie Region in Poland",
        JOURNAL = IJGI,
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        NUMBER = "7",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/cartog931econ1.html#TT285018"}

@article{bb290362,
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Socio-Economic Indicators on a Semi-Global Scale",
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@article{bb290363,
        AUTHOR = "Noori, F. and Kamangir, H. and King, S.A. and Sheta, A. and Pashaei, M. and Sheikh Mohammad Zadeh, A.",
        TITLE = "A Deep Learning Approach to Urban Street Functionality Prediction
Based on Centrality Measures and Stacked Denoising Autoencoder",
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@article{bb290364,
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        TITLE = "Identification and Geographic Distribution of Accommodation and
Catering Centers",
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@article{bb290365,
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        TITLE = "Upscaling Household Survey Data Using Remote Sensing to Map
Socioeconomic Groups in Kampala, Uganda",
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@article{bb290366,
        AUTHOR = "Zunino, A. and Velazquez, G. and Celemin, J.P. and Mateos, C. and Hirsch, M. and Rodriguez, J.M.",
        TITLE = "Evaluating the Performance of Three Popular Web Mapping Libraries:
A Case Study Using Argentina's Life Quality Index",
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@article{bb290367,
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Survey Data to Improve Characterization of Rural Water Points in
Malawi",
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@article{bb290368,
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Study of Financial Enterprise Network in Yangtze River Delta, China",
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@article{bb290369,
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Models and the CityGML Energy ADE: Case Study Helsinki",
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@article{bb290370,
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Activity Modeling Using Multi-Source Big Data",
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@article{bb290371,
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and Internet-Based Big Geospatial Data",
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@article{bb290372,
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of Distribution and Proximity of Essential Urban Services",
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@article{bb290373,
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Innovative Development of Sci-Tech Parks in New Urban Districts: A
Case Study of the Hangzhou West Hi-Tech Corridor in China",
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@article{bb290374,
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Warming Scenarios RCP4.5 and RCP8.5",
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@article{bb290375,
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Relationship Using a Multi-Agent Approach",
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@article{bb290376,
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Learning: A Case Study in Guizhou, Southwest China",
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@article{bb290377,
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Protected Areas Captured through Night-Time Light Data",
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@article{bb290378,
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@article{bb290379,
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@article{bb290380,
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@article{bb290381,
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Landscape: A Case Study of Beijing",
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@article{bb290382,
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Resolution",
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@article{bb290383,
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Residential Property Values: An Empirical Analysis for Hartford and
Stamford Areas, Connecticut",
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        NUMBER = "2",
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@article{bb290384,
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Characteristics and Gray Relational Analysis",
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Decision Support System to Optimize Locational Potential of
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@article{bb290386,
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Combining Trajectory and POI Data",
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@article{bb290387,
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@article{bb290388,
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Based on Multi-Source Big Data",
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Development in the Yangtze River Economic Belt: A Case Study in Hunan
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@article{bb290392,
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Hierarchy Process (AHP) Approach",
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@article{bb290393,
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@article{bb290394,
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@article{bb290395,
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Factors and Rural Poverty in Guizhou, China",
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@article{bb290397,
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Spatio-Temporal Influence Heterogeneity of Light Rail Transit
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Grade in Mountainous Cities from the Perspective of Geo-Information
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