Bottom-up hierarchical detection of territorial spatial pattern based on multi-source heterogeneous data
文献类型：期刊论文
| 作者 | Chen, Fangxin2,3; Li, Yurui2; Liu, Yansui1,2,3 |
| 刊名 | LAND USE POLICY
 |
| 出版日期 | 2025-11-01 |
| 卷号 | 158页码:107757 |
| 关键词 | Territorial spatial planning Sustainable land use Cognition System Spatial gridding governance Human-earth system |
| ISSN号 | 0264-8377 |
| DOI | 10.1016/j.landusepol.2025.107757 |
| 产权排序 | 1 |
| 文献子类 | Article ; Data Paper |
| 英文摘要 | The scientific cognition and methods for territorial space are fundamental to digital territorial governance. This study proposed a bottom-up territorial space cognition system through classifying dominant types, grading principal purposes, zoning major functions, and delineating spatial patterns. At the practical level, this study developed a grid-based method for detecting territorial spatial patterns, with Lingbao city in Henan province as a case study. The method first integrates multi-source heterogeneous datasets to classify single and mixed land use. And the land use functions were evaluated and graded into different levels. A multi-tiered iterative determination process was then devised to find the optimal scale for major functional areas. Multiple attributes of major functional areas were analyzed. The territorial spatial patterns were ultimately delineated by combining major functional areas, natural resource endowments, and projection data. The result showed that mixed land uses were located primarily along main roads or form an outer belt surrounding residential areas. There was a significant difference in the grade of land use functions in both urban and rural areas. The major functional areas demonstrated significant north-south differentiation characteristics, with ecological function areas in the south and agricultural production function areas in the north. The territorial spatial patterns are one barrier, one corridor, and two areas, one center, three deputies, and four development axes. The theoretical and empirical analysis offered a new perspective on territorial spatial digital governance. |
| URL标识 | 查看原文 |
| WOS关键词 | TIME-SERIES ; VEGETATION INDEX ; LAND-COVER ; CHINA ; QUALITY |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001572423400001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/216110]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Liu, Yansui |
| 作者单位 | 1.Henan Univ, Fac Geog Sci & Engn, Zhengzhou 450046, Peoples R China; 2.Chinese Acad Sci, Key Lab Reg Sustainable Dev Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 3.Minist Nat Resources, Rural Planning & Governance Engn Technol Innovat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Fangxin,Li, Yurui,Liu, Yansui. Bottom-up hierarchical detection of territorial spatial pattern based on multi-source heterogeneous data[J]. LAND USE POLICY,2025,158:107757. |
| APA | Chen, Fangxin,Li, Yurui,&Liu, Yansui.(2025).Bottom-up hierarchical detection of territorial spatial pattern based on multi-source heterogeneous data.LAND USE POLICY,158,107757. |
| MLA | Chen, Fangxin,et al."Bottom-up hierarchical detection of territorial spatial pattern based on multi-source heterogeneous data".LAND USE POLICY 158(2025):107757. |
入库方式： OAI收割
来源：地理科学与资源研究所
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