Spatial Synthesis: Computational Social Science and Humanities 3030527336, 9783030527334

Table of contents :
Introduction: Spatial Synthesis in Computational Social Science and Humanities
1. Towards Computational Spatial Social Science and Humanities
2. Synthesis and Convergence
3. Spatial Synthesis in Humanities, Regional Science, and Urban Science
4. Conclusion
References
Contents
Part IForeword
1 Foreword I: Charting Computational Social Science from a Spatial Perspective
References
2 Foreword II: Convergence and Synthesis
References
Part IISpatial Synthesis in Humanities
3 The China Family Tree Geographic Information System
3.1 Family Tree and GIS
3.1.1 Family Tree
3.1.2 GIS and Family Tree Research
3.1.3 Concept and Objectives of Family Tree GIS
3.2 A Unified Spatial-Temporal Framework for Family Trees
3.2.1 Why Is a Unified Spatial-Temporal Framework Needed?
3.2.2 How Can a Unified Spatial-Temporal Framework Be Constructed?
3.3 FTGIS Data Model
3.3.1 Content and Information of Family Trees
3.3.2 Overview of the Models
3.4 Family Tree Information Specification and Sharing
3.4.1 Existing Specifications Associated with Family Trees
3.4.2 Family Tree Information Specification
3.5 Mass Family Tree Information Collection
3.6 FTGIS Platform
3.6.1 Architecture of the FTGIS Platform
3.6.2 Functions of the FTGIS Platform
3.7 Conclusions and Future Research
References
4 GIS for Chinese History Research
4.1 The Construction of Typical Geographic Information Systems for China Study
4.2 The Research Regarding Climate, Rivers, Hydrology and Geomorphology Through the Application of the GIS Technology
4.2.1 The Historical Climate Research with the GIS
4.2.2 The Research of Rivers and Hydrology in History Through the GIS
4.2.3 The Geomorphology and the Research of Environmental Changes Through the GIS
4.3 The Research of Towns and Villages in History via the Application of the GIS
4.3.1 The Urban History and the Research of Urban Historical Geography Under the GIS Platforms
4.3.2 The Research of Town Economy of Jiangnan Region in Ming and Qing Dynasty by the GIS
4.3.3 The Research on the Rural Settlements in History Through the GIS
4.4 The Research of the Economy and Society in History via the GIS
4.5 The Research of Ancient Maps and Their Digitization by the GIS Technology
4.6 The Exploratory Research for the Methodology for Digitizing the History Geographic Information
References
5 Digital Historical Yellow River
5.1 Digital Historical Yellow River
5.2 The Relationship Between Qing Government Finance and the Yellow River Management
5.3 The Collapse of the Yellow River Finance in 1820–1840
5.3.1 The Changing of the Hydrological Environment Over the Yellow River in 1820–1840
5.3.2 The Hydrological Challenge of Daoguang Period
5.4 Conclusion
References
6 Visualizing Classic Chinese Literature
6.1 Visualization of Writers’ Trajectory and Activity Distribution
6.2 Visualization of the Geographical Distribution of Writers’ Social Relations with CBDB and the Aforementioned GIS Software
6.3 The Point-Line Visualization of Social Relations with Databases and Software Such as CBDB and GEPHI
6.4 Conclusion
7 Quantifying Spatial Variation in Aggregate Cultural Tolerance
7.1 Introduction
7.2 Conceptual Background
7.3 Data and Measures
7.4 Methods
7.5 Results
7.5.1 Descriptive Statistics
7.5.2 Small Area Estimation Results
7.5.3 Predicting Individual Cultural Values
7.6 Discussion
References
8 Conservation of Cave-dwelling Village using Cultural Landscape Gene Theory
8.1 Introduction
8.2 The First Genetic Characteristic of CDVCL: Natural Gene
8.2.1 The Loess Landform
8.2.2 Semi-arid Climate
8.2.3 Dry Farming
8.3 The Second Genetic Characteristic of CDVCL: Cultural Gene
8.3.1 Village Pattern of Along the River
8.3.2 Village Pattern of Along the Cliff
8.3.3 Village Pattern of Along the Slope
8.4 The Third Genetic Characteristic of CDVCL: Spatial Gene
8.4.1 Production Space
8.4.2 Living Space
8.4.3 Mental Space
8.5 The Fourth Genetic Characteristic of CDVCL: Material Gene
8.5.1 Construction Materials
8.5.2 Facade Forms
8.5.3 Flat Pattern
8.5.4 Partial Adornment
8.6 The Fifth Genetic Characteristic of CDVCL: Intangible Gene
8.6.1 Religion
8.6.2 Traditional Customs
8.7 Conclusions
References
9 Digitalized Enka-Style Taipei
9.1 Introduction
9.2 Taiwanese Enka-Style Ballad Performers in the 1960s: Two Cases
9.3 Digitalized Enka Pertaining to Taipei that Reflected a Mixed-Race Cultural Space
9.4 Interviews and Digital Mapping Interpretation
9.5 Concluding Remarks
References
Part IIISpatial Synthesis in Regional Science
10 Research Progress on Spatial Demography
10.1 Introduction
10.2 Core Concept of Spatial Demography
10.2.1 The Definition of Spatial Demography
10.2.2 Space and Spatial Analysis in Spatial Demography
10.2.3 The Relations and Differences Between Spatial Demography and Related Disciplines
10.3 The Course of Development in Spatial Demography
10.4 The Trans-Century Research Focuses in Spatial Demography
10.4.1 Differentiation and Isolation
10.4.2 Birth and Death
10.4.3 Migration and Urbanization
10.4.4 Regional Population Forecast
10.4.5 Population and the Environment
10.5 Research Technique in Spatial Demography
10.6 Prospect of Future Development of Spatial Demography
References
11 Complex Network Theory on High-Speed Transportation Systems
11.1 Introduction
11.2 Methodologies Used in Complex Network Theory on Quantifying the Air and HSR Systems
11.2.1 Centrality Measures
11.2.2 General Characteristics About the Complex Networks
11.3 Empirical Analysis for HSR and Airline Networks
11.3.1 HSR Networks
11.3.2 Airline Networks
11.4 The Differences Between Weighted and Non-weighted High-Speed Transportation Networks
11.5 Conclusion
References
12 Economic Impact Analysis for an Energy Efficient Home Improvement Program
12.1 Introduction
12.2 Literature Review
12.3 Methodology
12.4 Empirical Study
12.4.1 Data
12.4.2 Economic Impact Analysis
12.5 Conclusions and Discussions
References
13 Exploring the Dynamics of Carbon Emission in China via Spatial-Temporal Analysis
13.1 Introduction
13.2 Literature Review
13.3 Data
13.3.1 Unit of Analysis
13.3.2 Dependent Variable
13.3.3 Independ Variables
13.3.4 Other Control Variables
13.4 Exploratory Spatial Data Analysis (ESDA)
13.5 Spatial Econometrics Analysis
13.6 Conclusion and Discussion
References
14 Spatial Visualization and Analysis of the Development of High-Paid Enterprises in the Yangtze River Delta
14.1 Introduction
14.2 Methord
14.2.1 Data Acquisition
14.2.2 Data Visualization
14.3 Realization
14.4 Conclusion
References
15 High Performance Spatiotemporal Visual Analytics Technologies and Its Applications in Big Socioeconomic Data Analysis
15.1 Introduction
15.2 Spatial Index and Storage Mechanisms
15.2.1 Spatial Indexing
15.2.2 Spatial Databases
15.2.3 Distributed File System
15.3 High Performance Computing Technologies
15.3.1 Computing Paradigms
15.3.2 Mainstream Frameworks
15.3.3 Applications in Spatial Humanities and Social Sciences
15.4 Web-Based Visualization
15.4.1 JavaScript-Based Visualization Libraries
15.4.2 Web Framework and Communication Technologies
15.5 Enterprise Registration Data Visual Analytics as a Use Case
15.5.1 HPC-Accelerated Data Preprocessing
15.5.2 HPC-Enabled Dynamic Visual Analytics
15.6 Conclusions
References
16 Demystifying the Inequality in Urbanization in China Through the Lens of Land Use
16.1 Introduction
16.2 Data and Methodology
16.2.1 Data Sources
16.2.2 Methodology
16.3 Spatial Inequality in Land Urbanization
16.3.1 Land Urbanization Patterns by County in 2000
16.3.2 Land Urbanization Patterns by County in 2015
16.3.3 Evolution of Land Urbanization Patterns in Chinese Counties
16.3.4 Land Urbanization Types in Chinese Counties
16.4 Determinants of Spatial Inequality in Land Urbanization
16.4.1 Comprehensive Analysis of Elements Based on the OLS Model
16.4.2 Spatial Heterogeneity Analysis of Elements Based on GWR Model
16.5 Discussion
16.6 Conclusions and Future Development
References
17 Analyzing Spatial Patterns of Intergenerational Education Mobility in China
17.1 Introduction
17.2 Data
17.3 Methods
17.3.1 Intergenerational Education Index
17.3.2 Indices to Estimate the Intergenerational Mobility
17.3.3 Geographically Weighed Regression
17.4 The Overall Situation of Intergenerational Education Mobility in China
17.5 Analysis of Influencing Factors of Children’s Education Level and Their Spatial Distribution
17.6 Conclusion and Discussion
References
18 Can Social Media Rescue Child Beggars?
18.1 Introduction
18.2 Volunteered Geographic Information (VGI), Social Media, Child Beggars, and Missing Children
18.3 Data and Methods
18.4 Results
18.5 Discussion
18.6 Conclusions
References
Part IVSpatial Synthesis in Urban Science
19 Spoofing in Geography: Can We Trust Artificial Intelligence to Manage Geospatial Data?
19.1 Introduction
19.2 Related Works
19.2.1 What Is Spoofing?
19.2.2 AI, Machine Learning, and Deep Learning
19.3 Three Spoofing Cases
19.3.1 Bots in Location-Based Gaming
19.3.2 Location Spoofing on Twitter
19.3.3 Simulated Image of a Place
19.4 Spoofing Detection
19.5 Concluding Remarks: Fake Geography?
References
20 A Complex-Network Perspective on Alexander’s Wholeness
20.1 Introduction
20.2 Complex Networks and the Underlying Scaling Hierarchy
20.3 The Wholeness and the Theory of Centers
20.4 The Wholeness from a Complex-Network Perspective
20.4.1 A Paper with a Tiny Dot
20.4.2 The Alhambra Plan
20.4.3 The Sierpinski Carpet
20.5 Implications of the Complex-Network Perspective and Wholeness
20.6 Conclusion
References
21 Spatial-Temporal Behavior Analysis in Urban China
21.1 Introduction
21.2 Spatial-Temporal Agglomeration and Heterogeneity
21.2.1 Spatial-Temporal Agglomeration and Urban Structure
21.2.2 Social and Spatial Heterogeneity
21.3 Spatial-Temporal Correlation and Attenuation
21.3.1 Spatial Attenuation-Tested by Spatial-Temporal Floating Car GPS Big Data
21.3.2 Spatial-Temporal Autocorrelation and Hot Spot Recognizing
21.3.3 Spatial-Temporal Near-Repeat
21.4 Spatial-Temporal Process and Dynamic
21.5 Discussion
References
22 Studies on Tourists’ City Space Images
22.1 Introduction
22.2 Literature Review
22.2.1 Social Space: Term and Research Perspectives
22.2.2 Space Images and Research Progress
22.2.3 Research on City Space Image in China
22.2.4 Research Methods on City Space Image
22.3 Case Analysis
22.3.1 Case I User Generated Content Analysis and Space Images of Historical Districts in Shanghai—The District of Hengshan—Fuxing Road
22.3.2 Case II Photo Analysis and Cognition Mapping: Tourists’ Space Image of the Historical Area in the Suburbs of Shanghai—The Water Town of Zhou
22.3.3 Case III Spatial Distribution of Images from Social Network “Panoramio”: POIs the City Center of Shanghai
22.4 Summary
22.5 Conclusions and Future Research
References
23 Accessibility of Residential Houses to Community Facilities
23.1 Introduction
23.2 Methodology
23.2.1 Model Assumptions
23.2.2 Model Formulation
23.2.3 Database
23.2.4 Modeling Procedure
23.3 Results and Analyses
23.4 Conclusions
References
24 Uncovering Online Sharing Vehicle Mobility Patterns from Massive GPS Trajectories
24.1 Introduction
24.2 Study Area and Dataset
24.3 Methodology
24.3.1 Extracting Travels and Stops
24.3.2 Mining Mobility Patterns
24.4 Results and Analysis
24.4.1 Travel Count
24.4.2 Travel Distance
24.4.3 Spatial Communities
24.5 Conclusion
References
25 Application of Eye-Tracking Technology in Humanities, Social Sciences and Geospatial Cognition
25.1 Overview of Eye-Tracking Technology
25.2 Applications in Humanistic and Social Scenarios
25.3 Geospatial Cognition Experiments
25.3.1 Related Work
25.3.2 Experiment 1: Research on Differences Between Experts and Non-experts Map Users in Goal Searching Strategy
25.3.3 Experiment 2: Research on Differences Between Experts and Non-experts Mmap Users in Indoor Wayfinding
25.4 Conclusion
References
Part VAfterword
26 Prospects of Spatial Synthesis in Computational Social Science and Humanities: Towards a Spatial Synthetics and Synthetic Geography
References