Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application

How do multidimensional land use conflicts shape rural multifunctionality? An empirical study of the Yangtze River Delta from a conflict–coordination perspective

In the context of urban–rural integration, how multidimensional land use conflict (LUC) differentially shapes rural multifunctionality is a key question for sustainable rural development. Existing studies, however, have largely treated the two independently, with limited systemat...

Automated Construction of Geospatial Analysis Workflows: Recursive Solving of Elementary Modeling Questions Adaptive to Workflow Construction Contexts

ABSTRACT Geospatial analysis workflows are widely used to address complex geographic problems, but their construction is challenging due to dynamic contextual factors like the characteristics of the study area, geo‐models, and datasets during construction process. Current automat...

A Weakly Supervised Slender Object Detection Network for Fishing Rods in UAV Inspection Images

The timely detection of fishing activities supports the protection of water resources and aids law enforcement in fishing ban and shoreline inspection scenarios. Fishing rods are highly discriminative objects for identifying such activities; however, their slender shapes and vary...

Lower soil organic carbon mineralization and temperature sensitivity along a freeze-thaw erosion gradient in permafrost soils

Freeze-thaw erosion (FTE) is widespread in permafrost regions, yet its effects on soil organic carbon (SOC) dynamics remain unclear. Here, we investigated SOC fractions, physicochemical properties, microbial biomass and community composition, SOC-degradation functional genes, SOC...

Machine learning reveals divergent drivers and migrating thresholds of cropland degradation in Southern and Northern China

Under the dual pressures of rapid urbanization and climate change, cropland systems in China are facing escalating degradation risks, posing a critical threat to national food security. However, the compound driving mechanisms and nonlinear threshold effects underlying cropland d...

Emerging compound air-soil heatwaves amplify global vegetation losses

Abstract Compound air-soil heatwaves—periods in which extreme air and soil temperatures co-occur—pose a growing threat to terrestrial ecosystems, yet their occurrence and impacts remain poorly understood. Here, we show that compound air-soil heatwaves have become more frequent (0...

The characteristic analysis and pattern classification of Beijing’s commercial districts based on multi-source geographical big data

Abstract Commercial districts, as key hubs for diverse commercial activities, play a crucial role in urban life. Yet in recent years, the vitality of commercial districts is declining. Although various strategies for revitalizing commercial districts have been proposed, it’s esse...

Generative geospatial modelling with geometric algebra

Abstract The integration of data-driven and knowledge-driven approaches in generative geospatial modelling (GGM) is often hindered by their mathematical incompatibilities. Here, we propose a geometric algebra (GA)-based framework that employs a unified multi-vector representation...

Identifying urban villages using graph neural network and transfer learning in Southern Jiangsu, China

China’s rapid urbanization has led to the emergence of urban villages (UVs), whose governance is crucial for urban quality and built environment management. However, conventional identification methods rely on high-resolution remote sensing images and extensive localized annotate...