sparr: Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R
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DOI: http://hdl.handle.net/10.18637/jss.v039.i01
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Cited by:
- Davies, Tilman M. & Jones, Khair & Hazelton, Martin L., 2016. "Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 12-28.
- Christoph Lambio & Tillman Schmitz & Richard Elson & Jeffrey Butler & Alexandra Roth & Silke Feller & Nicolai Savaskan & Tobia Lakes, 2023. "Exploring the Spatial Relative Risk of COVID-19 in Berlin-Neukölln," IJERPH, MDPI, vol. 20(10), pages 1-22, May.
- Akimitsu Inoue, 2016. "Density estimation based on pointwise mutual information," Economics Bulletin, AccessEcon, vol. 36(2), pages 1138-1148.
- Fernando A. Campos & Linda M. Fedigan, 2014. "Spatial ecology of perceived predation risk and vigilance behavior in white-faced capuchins," Behavioral Ecology, International Society for Behavioral Ecology, vol. 25(3), pages 477-486.
- Marcus Groß & Ulrich Rendtel & Timo Schmid & Sebastian Schmon & Nikos Tzavidis, 2017. "Estimating the density of ethnic minorities and aged people in Berlin: multivariate kernel density estimation applied to sensitive georeferenced administrative data protected via measurement error," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 161-183, January.
- Pebesma, Edzer & Bivand, Roger & Ribeiro, Paulo Justiniano, 2015. "Software for Spatial Statistics," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 63(i01).
- Peter Howe & Hilary Boudet & Anthony Leiserowitz & Edward Maibach, 2014. "Mapping the shadow of experience of extreme weather events," Climatic Change, Springer, vol. 127(2), pages 381-389, November.
- Emily Walker & Melen Leclerc & Jean‐François Rey & Rémy Beaudouin & Samuel Soubeyrand & Antoine Messéan, 2019. "A Spatio‐Temporal Exposure‐Hazard Model for Assessing Biological Risk and Impact," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 54-70, January.
- Taylor, Benjamin M. & Davies, Tilman M. & Rowlingson, Barry S. & Diggle, Peter J., 2013. "lgcp: An R Package for Inference with Spatial and Spatio-Temporal Log-Gaussian Cox Processes," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 52(i04).
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