A comparison of three empirically based, spatially explicit predictive models of residential soil Pb concentrations in Baltimore, Maryland, USA: Understanding the variability within cities

Environmental Geochemistry and Health

Volumn 35, Issue 4, 2013, Pages 495-510

  Schwarz, Kirsten ^a   Weathers, Kathleen C ^c   Pickett, Steward T A ^c   Lathrop, Richard G ^d   Pouyat, Richard V ^e   Cadenasso, Mary L ^b  

^a NORTHERN KENTUCKY UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c CARY INSTITUTE OF ECOSYSTEM STUDIES   (United States)

^d The State University of New Jersey   (United States)

^e US Forest Service   (United States)

Author keywords

Classification and regression trees; Pb; Random Forest; Soil; Spatial modeling; Urban

Indexed keywords

FORESTRY; HOUSING; LEARNING SYSTEMS; PUBLIC HEALTH; ROADS AND STREETS; SOIL POLLUTION; X RAY SPECTROMETERS;

CLASSIFICATION AND REGRESSION TREE MODELS; CLASSIFICATION TREES; GENERAL LINEAR MODELING; PB; RANDOM FORESTS; REGRESSION TREES; SOIL PB; SPATIAL MODELLING; SPATIALLY EXPLICIT MODELING; URBAN;

SOILS;

ACCURACY ASSESSMENT; CLASSIFICATION; COMPARATIVE STUDY; CONCENTRATION (COMPOSITION); GUIDELINE; LEAD; MODEL TEST; POLLUTION MONITORING; REGRESSION ANALYSIS; SOIL ANALYSIS; SOIL POLLUTION; URBAN AREA; X-RAY FLUORESCENCE;

BALTIMORE; MARYLAND; UNITED STATES;

EID: 84879785384     PISSN: 02694042     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10653-013-9510-6     Document Type: Article

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