Accounting for regional background and population size in the detection of spatial clusters and outliers using geostatistical filtering and spatial neutral models: the case of lung cancer in Long Island, New York
Open Access
- 1 January 2004
- journal article
- research article
- Published by Springer Nature in International Journal of Health Geographics
- Vol. 3 (1) , 14
- https://doi.org/10.1186/1476-072X-3-14
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Detection of temporal changes in the spatial distribution of cancer rates using local Moran?s I and geostatistically simulated spatial neutral modelsJournal of Geographical Systems, 2005
- Exploring Scale‐Dependent Correlations Between Cancer Mortality Rates Using Factorial Kriging and Population‐Weighted SemivariogramsGeographical Analysis, 2005
- Impact of the simulation algorithm, magnitude of ergodic fluctuations and number of realizations on the spaces of uncertainty of flow propertiesStochastic Environmental Research and Risk Assessment, 1999
- VARFIT: a fortran-77 program for fitting variogram models by weighted least squaresComputers & Geosciences, 1999
- Local Spatial Autocorrelation in a Biological ModelGeographical Analysis, 1998
- Minireview: Quantifying Landscape Spatial Pattern: What Is the State of the Art?Ecosystems, 1998
- Disease Models Implicit in Statistical Tests of Disease ClusteringEpidemiology, 1995
- Local Indicators of Spatial Association—LISAGeographical Analysis, 1995
- Adjusting Moran'sIfor population densityStatistics in Medicine, 1995
- Choosing among two-dimensional smoothers in practiceComputational Statistics & Data Analysis, 1994