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Accurate forest aboveground biomass (AGB) estimation across heterogeneous subtropical regions is essential for carbon accounting and climate change mitigation. We developed XGBoost and random forest models using GEDI L4A Lidar samples and multi-source remote sensing features (Sentinel-1/2, topography) to predict AGB in Xijiang Forest Farm (Guangdong) and transferred them to Simao District (Yunnan)
Scapolite-bearing orthogneisses underlying the Proterozoic Varena Iron Ore Deposit, eastern Lithuania, the western East European Craton, represent the development of a sodic alteration zone. Scapolite chemistry records fluid salinity increase with temperature, reaching its maximum at temperatures of ∼750 °C. Fluid-mineral reactions controlled the fluid KCl/NaCl ratio, enabling partial melting at p
Background: Although telemedicine grew rapidly during the COVID-19 pandemic, instruments to assess general practitioners’ (GPs) attitudes and behavioral intentions to use it are scarce. In Sweden, the Physicians’ Attitudes and Intentions to use Telemedicine (PAIT) questionnaire was developed from the “theory of planned behavior” in 2019 and translated into English in 2022. Objective: The aim of th
The enrichment of immunosuppressive M2 macrophages, combined with diminished CD8+ T cell infiltration, represents a key mechanism driving tumor progression and limiting immunotherapy efficacy in non-small cell lung cancer (NSCLC). Here, we provide evidence that the purinergic P2Y2 receptor (P2RY2) is a key regulator of M2 macrophage enrichment and contributes to the exclusion of CD8+ T cells from
The sorites paradox is central to theories on vagueness, which aim to explain apparent contradictions. Some theories, however, imply sharp cut-offs where we would, intuitively, not expect them. This paper invokes the notion of normative resilience to address this issue. We argue that sharp cut-offs may result from a gradual decline in resilience, making the existence of precise boundaries less une
Enacting Traces is the debut album by Eleni-Ira Panourgia. A creation developed from original sound recordings of live performances of sculpture making with steel and live electronics. Resulting from a process of recombination and transformation of sounds produced by physical actions on materials, welding and grinding machines, and electronics, this album presents sound as a material trace. Across
Urban land use information plays an important role in urban management, government policy-making, and population activity monitoring. However, the accurate classification of urban functional zones is challenging due to the complexity of urban systems. Many studies have focused on urban land use classification by considering features that are extracted from either high spatial resolution (HSR) remo
Understanding how urban systems and traffic dynamics co-evolve is crucial for advancing sustainable and resilient cities. However, their bidirectional causal relationships remain underexplored due to challenges of simultaneously inferring spatial heterogeneity, temporal variation, and feedback mechanisms. Here we present a spatio-temporal causality framework that bridges correlation and causation
According to an urban planning directive issued by the Chinese Central Government in early 2016, the Community Opening Policy will be put on the agenda to ameliorate transportation networks, which has aroused much attention regarding the coming changes in traffic, especially in road network structures. Nevertheless, few studies were concerned with the direct and indirect impacts of opening gated c
Along with the gradually accelerated urbanization process, simulating and predicting the future pattern of the city is of great importance to the prediction and prevention of some environmental, economic and urban issues. Previous studies have generally integrated traditional machine learning with cellular automaton (CA) models to simulate urban development. Nevertheless, difficulties still exist
The accurate mapping of urban housing prices at a fine scale is essential to policymaking and urban studies, such as adjusting economic factors and determining reasonable levels of residential subsidies. Previous studies focus mainly on housing price analysis at a macro scale, without fine-scale study due to a lack of available data and effective models. By integrating a convolutional neural netwo
The rapid development of urban retail companies brings new opportunities to the Chinese economy. Due to the spatiotemporal heterogeneity of different cities, selecting a business location in a new area has become a challenge. The application of multi-source geospatial data makes it possible to describe human activities and urban functional zones at fine scale. We propose a knowledge transfer-based
Cellular automata (CA) have been widely used to simulate complex urban development processes. Previous studies indicated that vector-based cellular automata (VCA) could be applied to simulate urban land-use changes at a realistic land parcel level. Because of the complexity of VCA, these studies were conducted at small scales or did not adequately consider the highly fragmented processes of urban
The Hu Huanyong Line (Hu Line) shows an uneven geographical pattern of urbanization between Southeast and Northwest China. Based on three questions proposed by the Chinese Premier, the balance of urbanization on both sides of the Hu Line and the possibility of breaking through the pattern in the future has provoked substantial interest in academic circles. Based on quantitative analyses and urban
The formulation of mixed urban land uses is not only intended to find the ideal scenario of land use but also regarded as a way toward sustainable urban development. We propose a geo-semantic mining approach Traj2Vec to quantify the trajectories of residents as high-dimensional semantic vectors. Then, a random forest (RF) method is used to model the relationship between the semantic vectors and mi
China is going through a rapid urbanization process, which will have significant influences on the land use pattern in the nationwide scale. In this context, it is very important for getting more information about the overall trend of land use change in the coming decades. To help develop better land management policies and improve the land resource allocation, this paper provides a system dynamic
The development of geospatial big data makes it possible to study traffic-congestion issues. In particular, floating car data (FCD) is very suitable for it because FCD can help predict traffic-congestion bottlenecks and provide corresponding solutions to address traffic problems. Previous studies have discussed the impacts of rainfall on road speeds, but few studies have focused on the impacts of
In China, the illegal adoption of missing persons and especially of missing children is a major public safety issue that affects social and family stability. Recent work has established a trafficking information network developed from a volunteer-managed database of missing persons that identifies and locates node cities and critical paths of illegal adoption. In order to evaluate locations where
The spatial distribution pattern of jobs and housing plays a vital role in urban planning and traffic construction. However, obtaining the jobs-housing distribution at a fine scale (e.g., the perspective of individual jobs-housing attribute) presents difficulties due to a lack of social media data and useful models. With user data acquired from a location-based service provider in China, this stud
