Spatial Dependence: Weighting Schemes and Statistics
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Updated
Aug 2, 2024 - R
Spatial Dependence: Weighting Schemes and Statistics
Analysis of palaeoecological records across South-East Asia to determine the evidence for regime shifts between open savannas and dense tropical forests occurred since the Last Glacial Maximum
🌍 📝 Modelling and forecasting deforestation in the tropics
The R Shiny App for machine learning analysis and visualization of cellular spatial point patterns under hypercaloric diet shifts.
Machine learning analysis & visualisation of cellular spatial point patterns
Spatial Statistical analyses created using R and RStudio for an "Advanced Statistics for Urban Applications" at Temple University
Data, code and manuscript for 'Spatial occupancy models for data collected on stream networks'
Code developed for the paper "The Impact of Public Transport on the Diffusion of the COVID-19 Pandemic in Lombardy during 2020", authored by Greta Galliani, Piercesare Secchi, and Francesca Ieva, published in Medical Research Archives in September 2023.
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