Umbrella package of the 'spatstat' family................
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Updated
Jun 28, 2024 - R
Umbrella package of the 'spatstat' family................
Visualization and analysis of geographic data using R language (in Russian)
From geospatial to spatial -omics
Population genetic simulations in R 🌍
Meetup presentations and material from R-Ladies Rome
Spatial error estimation and variable importance
Statistical analysis for spatial omics data
Exploring spatial statistics for public health. All datasets belong to Professor Hugh Sturrock and were used as part of Professor Sturrock's spatial epidemiology course.
Kriging assignment for map generation using spatial interpolation
Sussman A.L., Gardner B., Adams E.M., Salas L., Kenow K.P., Luukkonen D.R., Monfils M.J., Mueller W.P., Williams K.A., Leduc-Lapierre M., & Zipkin E.F. 2019. A comparative analysis of common methods to identify waterbird hotspots. MEE 10(9): 1454-1468.
Global surface temperature layers are interpolated based on a point measurement data set of the worldwide surface temperature, which has been recorded since 1950. For the spatial interpolation, an universal Kriging approach is applied with additional layers for the continentality, the atmospheric distance, the North-South topographic gradient an…
Spatial Prediction Methods In R
Evaluating the suitability of spatial adjacency for small-area estimation
An R Shiny interactive web Application for presenting results of a novel Functional Land-Use Regression (FLUR) model that spatially predict Long-term diurnal variation curves of fine particulate matter (PM2.5) in the mega-city of Tehran.
Machine learning analysis & visualisation of cellular spatial point patterns
Sub-package of spatstat providing functions for exploratory and nonparametric data analysis
R code and dataset for the paper on spatially functional data
Family of geographical detector models in R
A tidy interface for rgeoda
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