A5060609967- Land Use and Ecosystem Services
- Data Management and Algorithms
- Geographic Information Systems Studies
- Coastal wetland ecosystem dynamics
- Human Mobility and Location-Based Analysis
- Urban Design and Spatial Analysis
- Data-Driven Disease Surveillance
- 3D Modeling in Geospatial Applications
- Scientific Computing and Data Management
- Conservation, Biodiversity, and Resource Management
- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Data Visualization and Analytics
- Spatial and Panel Data Analysis
- COVID-19 epidemiological studies
- Oil Palm Production and Sustainability
- Species Distribution and Climate Change
- Distributed and Parallel Computing Systems
- Soil Geostatistics and Mapping
- Remote Sensing and LiDAR Applications
- Land Rights and Reforms
- Remote Sensing and Land Use
- Environmental Changes in China
- Wildlife Ecology and Conservation
- Data Mining Algorithms and Applications
University of North Carolina at Charlotte
2016-2025
Zhengzhou University
2025
University of Illinois Urbana-Champaign
2008-2022
University of Illinois Chicago
2022
Sichuan University
2020
East China University of Science and Technology
2016
National Center for Supercomputing Applications
2009-2010
University of Iowa
2005-2008
Nanjing University
2001-2002
Abstract Memory is critical to understanding animal movement but has proven challenging study. Advances in tracking technology, theoretical models and cognitive sciences have facilitated research each of these fields, also created a need for synthetic examination the linkages between memory movement. Here, we draw together from several disciplines understand relationship processes. First, frame problem terms characteristics, costs benefits as outlined psychology neuroscience. Next, provide...
The COVID-19 pandemic has been a source of ongoing challenges and presents an increased risk illness in group environments, including jails, long-term care facilities, schools, residential college campuses. Early reports that the SARS-CoV-2 virus was detectable wastewater advance confirmed cases sparked widespread interest wastewater-based epidemiology (WBE) as tool for mitigation outbreaks. One hypothesis surveillance might provide cost-effective alternative to other more expensive...
As droughts become more frequent due to climate change and shifts in land use, enhancing the accuracy of drought prediction is becoming crucial for informed water resource management. This study employed Informer model forecast conducted a comparative analysis with Autoregressive Integrated Moving Average (ARIMA), long short-term memory (LSTM), Convolutional Neural Network (CNN) models. The findings indicate that outperforms other three models terms forecasting across all time scales....
Abstract We present a multilevel modeling framework for simulating the emergence of landscape spatial structure in urbanizing regions using combination field-based and object-based representations land change. The FUTure Urban-Regional Environment Simulation (FUTURES) produces regional projections patterns coupled submodels that integrate nonstationary drivers change: per capita demand, site suitability, conversion events. Patches change events are simulated as discrete objects stochastic...
In this article, we conducted the evaluation of artificial intelligence research from 1990–2014 by using bibliometric analysis. We introduced spatial analysis and social network as geographic information retrieval methods for spatially-explicit This study is based on data obtained database Science Citation Index Expanded (SCI-Expanded) Conference Proceedings Index-Science (CPCI-S). Our results revealed scientific outputs, subject categories main journals, author productivity distribution,...
Land use and land cover change is driven by multiple influential factors from environmental social dimensions in a system. practices of human decision-makers modify the landscape system, possibly leading to fragmentation, biodiversity loss, or pollution—severe ecological impacts. While landscape-level risk assessment supports evaluation these impacts, investigations on how risks induced over space time response alternative policy intervention remain inadequate. In this article, we conducted...
In this article, we evaluate the impact of positional and temporal inaccuracies on mapping detection potential outbreaks dengue fever in Cali, an urban environment Colombia. Positional uncertainties input data are determined by comparison between coordinates following automated geocoding process those extracted from on-field GPS measurements. Temporal modeled around incubation period for fever. To test robustness disease intensities space time when accounting space-time error, each case is...
Exploration of land use and cover change (LULCC) its impacts on ecosystem services in Tibetan plateau is valuable for landscape environmental conservation. In this study, we conduct spatial analysis empirical data the Qinghai Lake region 1990, 2000, 2010 simulate patterns 2020. We then evaluate LULCC service value (ESV), analyze sensitivity ESV to identify ecologically sensitive area. Our results indicate that, from 1990 2010, area forest grassland increased while unused decreased....
The potential utility of agent‐based models adaptive, spatially aware, and mobile entities in geographic ecological research is considerable. Developing this potential, however, presents significant challenges to information science. Modelling the spatio‐temporal behaviour individuals requires new representational forms that capture how organisms store use spatial information. New procedures must be developed simulate produce bounded knowledge geographical space through experiential...
The objective of this study is to estimate the biomass and carbon global-level mangroves as a special type wetland. Mangrove ecosystems play an important role in regulating cycling, thus having significant impact on global environmental change. Extensive studies have been conducted for estimation mangrove stock. However, at level has insufficiently investigated because spatial scale interest large most existing are based physically challenging fieldwork surveys that limited local scales....
Mangroves are recognized for their valued ecosystem services to coastal areas, and the functional linkages between those carbon stocks have been established. However, spatially explicit inventories necessary facilitate management protection of mangroves, as well providing a foundation payment service programs such REDD+. We conducted an inventory in mangroves within Pongara National Park (PNP), Gabon using stratified random sampling design based on forest canopy height derived from TanDEM-X...
Abstract A Hierarchical Parallel simulation framework for spatially‐explicit Agent‐Based Models (HPABM) is developed to enable computationally intensive agent‐based models the investigation of large‐scale geospatial problems. HPABM allows utilization high‐performance and parallel computing resources address computational challenges in models. Within HPABM, an model decomposed into a set sub‐models that function as units computing. Each sub‐model comprised sub‐set agents their environments....
Parallel spatially explicit agent-based models (SE-ABM) exploit high-performance and parallel computing to simulate spatial dynamics of complex geographic systems. The integration SE-ABM with CyberGIS could facilitate straightforward access massive computational resources information systems support pre- post-simulation analysis visualization. However, benefit from integration, must overcome the challenge communication management for orchestrating many processor cores in environments. This...
Urban agglomeration has become a crucial topic in order for the Chinese government to promote new-type urbanization China, and its will greatly affect China’s eco-environment. Existing literature on bidirectional influence between eco-environment from perspective of urban is, however, limited. This study establishes conceptual framework identify relationships agglomerations. After evaluating level quality each city an agglomeration, this determines key interaction factors, employs global...