George Christakos

ORCID: 0000-0002-1865-5764
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About
Contact & Profiles
Research Areas
  • Soil Geostatistics and Mapping
  • Geochemistry and Geologic Mapping
  • Air Quality Monitoring and Forecasting
  • Air Quality and Health Impacts
  • Groundwater flow and contamination studies
  • Spatial and Panel Data Analysis
  • Atmospheric and Environmental Gas Dynamics
  • Data-Driven Disease Surveillance
  • Heavy metals in environment
  • COVID-19 epidemiological studies
  • Atmospheric chemistry and aerosols
  • Soil and Unsaturated Flow
  • Coastal wetland ecosystem dynamics
  • Geographic Information Systems Studies
  • Statistical Mechanics and Entropy
  • Probabilistic and Robust Engineering Design
  • Marine and coastal ecosystems
  • Marine and coastal plant biology
  • Climate Change and Health Impacts
  • Reservoir Engineering and Simulation Methods
  • Oceanographic and Atmospheric Processes
  • Land Use and Ecosystem Services
  • Health, Environment, Cognitive Aging
  • Data Management and Algorithms
  • Statistical and numerical algorithms

Zhejiang Ocean University
2015-2024

Zhejiang University
2015-2024

San Diego State University
2014-2023

University of San Diego
2010

University of California, Berkeley
2010

SAS Institute (United States)
2010

Centre for Advanced Study
2006

University of North Carolina at Chapel Hill
1996-2005

Health Affairs
2004

National Technical University of Athens
2003

Physical environment, man‐made pollution, nutrition and their mutual interactions can be major causes of human diseases. These disease determinants have distinct spatial distributions across geographical units, so that adequate study involves the investigation associated strata. We propose four detectors based on variation analysis strata to assess environmental risks health: risk detector indicates where areas are; factor identifies factors are responsible for risk; ecological discloses...

10.1080/13658810802443457 article EN International Journal of Geographical Information Science 2010-01-01

The covariance and variogram models (ordinary or generalized) are important statistical tools used in various estimation simulation techniques which have been recently applied to diverse hydrologic problems. For example, the efficacy of kriging, a method for interpolating, filtering, averaging spatial phenomena, depends, large extent, on model chosen. aim this article is provide users these with convenient criteria that may help them judge whether function arises particular problem, not...

10.1029/wr020i002p00251 article EN Water Resources Research 1984-02-01

The Hand-Foot-Mouth Disease (HFMD) is the most common infectious disease in China, its total incidence being around 500,000 ~1,000,000 cases per year. composite space-time variation result of underlining attribute mechanisms that could provide clues about physiologic and demographic determinants transmission also guide appropriate allocation medical resources to control disease. HFMD were aggregated into 1456 counties during a period 11 months. Suspected climate attributes recorded monthly...

10.1186/1476-072x-10-25 article EN cc-by International Journal of Health Geographics 2011-01-01

There has been discrepancies between the daily air quality reports of Beijing municipal government, observations recorded at U.S. Embassy in Beijing, and residents’ perceptions quality. This study estimates Beijing’s area PM2.5 mass concentration by means a novel technique SPA (Single Point Areal Estimation) that uses data from single observation station U.S 18 PM10 stations Municipal Environmental Protection Bureau. The proposed accounts for empirical relationships different types...

10.1371/journal.pone.0053400 article EN cc-by PLoS ONE 2013-01-08

This study mapped the areal extent, identified species composition, and analyzed changes of salt marshes in intertidal zone China during period 1985–2019. With aid cloud platform Google Earth Engine, we selected Landsat 5/8 Sentinel-2 images used support vector machine classification method to extract marsh information for years 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019. Seven major marshes: Phragmites australis , Suaeda spp., Spartina alterniflora Scirpus mariqueter Tamarix chinensis...

10.34133/2022/9793626 article EN cc-by Journal of Remote Sensing 2022-01-01
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