A novel spatial heterogeneity decay model for depicting scale-effects in urban land
The variation in geographical feature characteristics with observational scale, known as the scale-effect, presents a fundamental challenge in geography and remote sensing. However, the quantitative characterization of the scale-effect in the spatial heterogeneity of urban land (SHUL) remains undere...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | GIScience & Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/15481603.2025.2547122 |
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| author | Weilin Wang Rong Wang Yangyang Lu Yuanyuan Meng Zhou Zhou |
| author_facet | Weilin Wang Rong Wang Yangyang Lu Yuanyuan Meng Zhou Zhou |
| author_sort | Weilin Wang |
| collection | DOAJ |
| description | The variation in geographical feature characteristics with observational scale, known as the scale-effect, presents a fundamental challenge in geography and remote sensing. However, the quantitative characterization of the scale-effect in the spatial heterogeneity of urban land (SHUL) remains underexplored. This study systematically investigates the scale-effect of SHUL using 79 Chinese cities as empirical samples. A semi-variogram function was employed to quantify SHUL across multiple spatial scales, revealing an exponential decay pattern. To model this phenomenon, we propose a scale-effect model that effectively captures the decay dynamics of SHUL. The model demonstrated strong performance, achieving an average goodness-of-fit (R2 = 0.944) across the 79 cities. Based on the scale-effect model, we derived characteristic indicators (maximum, minimum, fluctuation, and rate of decay) of the SHUL scale-effect and compared their variation across Chinese cities. Furthermore, we discuss the scale-effect mechanism, potential application pathways, and prospects for global generalization. The proposed scale-effect model offers valuable insights and a methodological reference for the cross-scale transformation of urban data. |
| format | Article |
| id | doaj-art-53282947bed6402ca01b86e21c12e2a5 |
| institution | Kabale University |
| issn | 1548-1603 1943-7226 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GIScience & Remote Sensing |
| spelling | doaj-art-53282947bed6402ca01b86e21c12e2a52025-08-20T04:01:01ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262025-12-0162110.1080/15481603.2025.2547122A novel spatial heterogeneity decay model for depicting scale-effects in urban landWeilin Wang0Rong Wang1Yangyang Lu2Yuanyuan Meng3Zhou Zhou4College of Resources, Hunan Agricultural University, Changsha, ChinaCollege of Resources, Hunan Agricultural University, Changsha, ChinaCollege of Resources, Hunan Agricultural University, Changsha, ChinaCollege of Resources, Hunan Agricultural University, Changsha, ChinaSchool of Management Science and Real Estate, Chongqing University, Chongqing, PR ChinaThe variation in geographical feature characteristics with observational scale, known as the scale-effect, presents a fundamental challenge in geography and remote sensing. However, the quantitative characterization of the scale-effect in the spatial heterogeneity of urban land (SHUL) remains underexplored. This study systematically investigates the scale-effect of SHUL using 79 Chinese cities as empirical samples. A semi-variogram function was employed to quantify SHUL across multiple spatial scales, revealing an exponential decay pattern. To model this phenomenon, we propose a scale-effect model that effectively captures the decay dynamics of SHUL. The model demonstrated strong performance, achieving an average goodness-of-fit (R2 = 0.944) across the 79 cities. Based on the scale-effect model, we derived characteristic indicators (maximum, minimum, fluctuation, and rate of decay) of the SHUL scale-effect and compared their variation across Chinese cities. Furthermore, we discuss the scale-effect mechanism, potential application pathways, and prospects for global generalization. The proposed scale-effect model offers valuable insights and a methodological reference for the cross-scale transformation of urban data.https://www.tandfonline.com/doi/10.1080/15481603.2025.2547122Scale-effectspatial heterogeneitysemi-varianceurban modelingChina |
| spellingShingle | Weilin Wang Rong Wang Yangyang Lu Yuanyuan Meng Zhou Zhou A novel spatial heterogeneity decay model for depicting scale-effects in urban land GIScience & Remote Sensing Scale-effect spatial heterogeneity semi-variance urban modeling China |
| title | A novel spatial heterogeneity decay model for depicting scale-effects in urban land |
| title_full | A novel spatial heterogeneity decay model for depicting scale-effects in urban land |
| title_fullStr | A novel spatial heterogeneity decay model for depicting scale-effects in urban land |
| title_full_unstemmed | A novel spatial heterogeneity decay model for depicting scale-effects in urban land |
| title_short | A novel spatial heterogeneity decay model for depicting scale-effects in urban land |
| title_sort | novel spatial heterogeneity decay model for depicting scale effects in urban land |
| topic | Scale-effect spatial heterogeneity semi-variance urban modeling China |
| url | https://www.tandfonline.com/doi/10.1080/15481603.2025.2547122 |
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