A5065865699- Land Use and Ecosystem Services
- Spatial and Panel Data Analysis
- Urban Transport and Accessibility
- Infrastructure Maintenance and Monitoring
- Soil Geostatistics and Mapping
- Remote Sensing and Land Use
- Urban Heat Island Mitigation
- Air Quality and Health Impacts
- Traffic Prediction and Management Techniques
- Remote Sensing in Agriculture
- Geophysics and Gravity Measurements
- Asphalt Pavement Performance Evaluation
- Climate variability and models
- Climate change and permafrost
- 3D Modeling in Geospatial Applications
- COVID-19 epidemiological studies
- BIM and Construction Integration
- Vaccine Coverage and Hesitancy
- Sustainable Building Design and Assessment
- Geochemistry and Geologic Mapping
- Facilities and Workplace Management
- Geographic Information Systems Studies
- Data-Driven Disease Surveillance
- Remote Sensing and LiDAR Applications
- Urban Green Space and Health
Curtin University
2016-2025
Faculty of Design
2024
Tongji University
2024
Australian Research Council
2018
Institute of Geographic Sciences and Natural Resources Research
2016
Chinese Academy of Sciences
2016
China University of Geosciences (Beijing)
2014-2016
Spatial heterogeneity represents a general characteristic of the inequitable distributions spatial issues. The stratified analysis investigates among various strata explanatory variables by comparing variance within and that between strata. geographical detector model is widely used technique for analysis. In model, data discretization scale effects are fundamental issues, but they generally determined experience lack accurate quantitative assessment in previous studies. To address this...
Given the important role of green environments playing in healthy cities, inequality urban greenspace exposure has aroused growing attentions. However, few comparative studies are available to quantify this phenomenon for cities with different population sizes across a country, especially those developing world. Besides, commonly used measures always hindered by conceptual simplification without accounting human mobility assessments. To fill knowledge gap, we leverage multi-source geospatial...
Little is known about the relation between long-term joint exposure to various ambient air pollutants and incidence of heart failure (HF). We aimed assess association with HF risk examine modification effect genetic susceptibility.
Background Air pollution has been related to incidence of type 2 diabetes (T2D). We assessed the joint association various air pollutants with risk T2D and examined potential modification by obesity status genetic susceptibility on relationship. Methods findings A total 449,006 participants from UK Biobank free at baseline were included. Of all study population, 90.9% white 45.7% male. The had a mean age 56.6 (SD 8.1) years old body mass index (BMI) 27.4 4.8) kg/m . Ambient pollutants,...
Abstract Non-pharmaceutical interventions (NPIs) and vaccination are two fundamental approaches for mitigating the coronavirus disease 2019 (COVID-19) pandemic. However, real-world impact of NPIs versus vaccination, or a combination both, on COVID-19 remains uncertain. To address this, we built Bayesian inference model to assess changing effect reducing transmission, based large-scale dataset including epidemiological parameters, virus variants, vaccines, climate factors in Europe from...
Governments worldwide have rapidly deployed non-pharmaceutical interventions (NPIs) to mitigate the COVID-19 pandemic. However, effect of these individual NPI measures across space and time has yet be sufficiently assessed, especially with increase policy fatigue urge for relaxation in vaccination era. Using decay ratio suppression infections multi-source big data, we investigated changing performance different NPIs waves from global regional levels (in 133 countries) national subnational...
There is global interest in spectroscopy and the development of large diverse soil spectral libraries (SSL) to model organic carbon (SOC) monitor, report, verify (MRV) its changes. The reason that increasing SOC can improve food production mitigate climate change. However, 'global' modelling with such hyperdimensional SSLs do not generalise well locally, e.g. at a field scale. To address this challenge, we propose deep transfer learning (DTL) leverage useful information from large-scale...
Geographical detector (GD) is a method to measure spatial associations using power of determinant (PD) value that compares the variance data within zones and in whole study area. Recent studies have implemented GD diverse fields, such as environmental socio-economic issues. Spatial discretization an essential stage for determining explanatory variables. However, process has been sensitive results. To address this issue, article proposes Robust Detector (RGD) overcome limitations sensitivity...
Geocomputation and geospatial artificial intelligence (GeoAI) have essential roles in advancing geographic information science (GIS) Earth observation to a new stage. GeoAI has enhanced traditional analysis mapping, altering the methods for understanding managing complex human–natural systems. However, there are still challenges various aspects of applications related natural, built, social environments, integrating unique features into models. Meanwhile, data critical components...
Large-scale, long-term series, and high-precision land use cover change (LUCC) mapping is the basic support for territorial spatial planning sustainable development in Bay Area. In response to agenda, characteristics of high landscape fragmentation, strong surface heterogeneity frequent type conversion Area, this study developed a random forest (RF) algorithm that considers spectral bands, remote sensing indices components principal component analysis, monitoring LUCC Hangzhou from 1985 2020...
Sustainable development in impoverished areas is still a global challenge owing to trade-offs between and conservation. There are large poverty-stricken (PSAs) China, which overlap highly with ecologically sensitive areas. China has made great efforts alleviate poverty over the years. The coordinated relationship social economy environment PSAs, however, remains under-recognized. This study developed county-level index system encompassing socioeconomic environmental sectors of China's PSAs....
Spatial stratified heterogeneity, revealing the disparity mechanisms across spatial strata, can be effectively quantified using geographical detector (GD). GD requires reasonable discretization strategies to investigate association between target variable and numerical independent variables. In previous studies, Robust Geographical Detector (RGD) optimized strata for examining power of determinants (PD) individual variables, which demonstrate more robust than other models. However, GD's...
Quantification and assessment of nationwide population access to health-care services is a critical undertaking for improving health optimizing the performance national systems. Rural–urban unbalance widely involved in most nations. This also potentially affected by varied weather road conditions. study investigates rural urban performances public system quantifying spatiotemporal variations accessibility assessing impacts potential factors. Australian used as case rural–urban comparison...
High-quality and long time-series soil moisture (SM) data are increasingly required for the Qinghai-Tibet Plateau (QTP) to more accurately effectively assess climate change. In this study, evaluate accuracy effectiveness of SM data, five passive microwave remotely sensed products collected over QTP, including those from active (SMAP), ocean salinity INRA-CESBIO (SMOS-IC), Fengyun-3B radiation image (FY3B), two derived advanced scanning radiometer 2 (AMSR2). The AMSR2 generated by land...
Particulate matter with an aerodynamic diameter <2.5 μm (PM2.5) represents a severe environmental problem and is of negative impact on human health. Xi'an City, population 6.5 million, among the highest concentrations PM2.5 in China. In 2013, total, there were 191 days City which greater than 100 μg/m3. Recently, few studies have explored potential causes high concentration using remote sensing data such as MODIS aerosol optical thickness (AOT) product. Linear regression commonly used method...
Urban forms reflect spatial structures of cities, which have been consciously and dramatically changing in China. Fast urbanisation may lead to similar urban due habits strategies city planning. However, whether China are identical or significantly different has not empirically investigated. In this paper, investigated based on two units: block. The boundaries natural cities terms the density human settlements activities delineated with concept 'redefined city' using points interests (POIs),...