Submitted:
09 October 2024
Posted:
11 October 2024
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Literature Review
3. Data Sources and Methods
3.1. Data Sources
3.2. Methods
3.2.1. Space Syntax
3.2.2. Kernel Density Estimation (KDE)
- is the estimated density at point x,
- is the number of sample points,
- h is the bandwidth, which controls the smoothness of the density estimate,
- K(.) is the kernel function, which determines the shape of the curve around each data point,
- xi are the individual sample points in the dataset.
3.3. Integration of Space Syntax and KDE
4. Discussion
4.1. Centralization and Spatial Control in Early Periods
4.2. Economic Diversification and Decentralization in the Ming and Qing Periods
4.3. Industrialization and Modern Decentralization in the PRC Period
4.4. Lessons for Modern Urban Planning
5. Conclusion
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| No. | Research Direction in Historical GIS | Figures/Organizations | Research Outcomes or Methods | Challenges | Type |
|---|---|---|---|---|---|
| 1 | Digitization of Historical Maps[32] | Spence (University of Portsmouth), Xu Zhihong (Fudan University), GBHGIS | GBHGIS, CHGIS, Digital Archives | Difficulties in digitizing numerous historical sites, variations in map quality | Digitization, storage, management, and analysis of historical maps |
| 2 | Historical Geographic Information Systems[33] | American Geographical Society, Fudan University, University of Portsmouth | U.S. National Historical GIS, Irish Famine Atlas, Chrono-Spatial Framework of Chinese Civilization | Standardizing platforms across regions; database infrastructure for high-traffic access | Development and implementation of HGIS platforms |
| 3 | Historical Geographic Data Models[34] | Gail Langran, Griffiths (University of Portsmouth), Xu Zhihong (Fudan University) | Tripod Spatial Historical Data Model | High programming skills required for historical map analysis | Data models to analyze spatial historical data |
| 4 | Spatial Analysis of Historical GIS Data[35] | Paul Longley (UCL), Ian Gregory (Lancaster University), Zhang Hai (Sun Yat-sen University) | Spatial regression, geostatistics, and geographic modeling | Lack of complex, model-based data for historical datasets | Spatial and statistical analysis of historical data |
| 5 | Visualization of Historical Geographic Data[36] | Sadahiro (University of Tokyo), Li Haiping (Fudan University) | Visualization of Tokyo Urban Historical Landscape, U.S. Glacier Evolution Simulations | Limited access to high-precision scanning, virtual reality (VR) technologiest | Visualization of spatial data using GIS |
| No. | Concept | Formula | Description |
|---|---|---|---|
| 1 | Connectivtiy | The number of connections between a space (x) and its adjacent spaces (y) | |
| 2 | Integration | The inverse of the average length of the shortest paths from a specific space (x) to all other spaces (y) | |
| 3 | Control Value | The degree to which a space (x) controls its adjacent spaces (y) relative to other spaces (z) |
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