ArticleScientific data2025
A 1 km datasets for urban-suburban-rural-natural continuous gradient landscapes in Southwest China.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- A 1 km datasets for urban-suburban-rural-natural continuous gradient landscapes in Southwest China.Scientific data · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
Accurate mapping of complete landscape gradients is critical to understanding the evolution patterns and landscape structure of socio-natural ecosystems. However, existing datasets focus primarily on the delineation of urban and rural settlements, neglecting the functional attributes of the landscape and neglecting the two gradients of suburban and natural. Therefore, we fused impervious surface and cultivated land data and used morphological spatial pattern analysis (MSPA) to produce a set of year-by-year urban-suburban-rural-natural (USRN) landscape data, and verified the accuracy with the published data. The spatiotemporal accuracy assessment showed that the USRN data had an average R
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