Name: Insang Song
Type: User
Company: NIEHS
Bio: Spatio-temporal analysis, geocomputation, and machine learning
Location: Durham, NC, USA
Blog: https://www.issong.net
Insang Song's Projects
automatic spatio-temporal kriging - additional functionality for `automap` package
Spatial clustering analysis of cancer incidence and mortality in South Korea with spatial scan statistic
Miscellaneous code for analyzing COVID-19 in Seoul, Republic of Korea
Land-use classification by deep learning
Dockerfile for RStudio Server and spatial analysis packages
easy perspective plot for physical geographers
Simple geographical vector interaction built on top of ArchGDAL
Course materials for Geospatial Data Science (GEOG490)
Miscellaneous geographic analysis codes (satellite data processing, visualization, etc)
Spatial and spatio-temporal geostatistical modelling, prediction and simulation
Spatial disparity in tract-level associations between mental illness mortality and greenspace exposure in the Pacific Northwest
Spatiotemporal variability in the association between mental illness and substance use mortality and unemployment in the contiguous US
Machine learning and spatial autocorrelation
Common machine learning models and spatial autocorrelation in four regional soil datasets
R package to implement nonlinear, interaction models with variable selection
korbit-api
R spatial packages reproducibility/functionality check
Analyze spatial count data using the flexible spatial scan statistic
Spatial autocorrelation and predictability of model performance for socioeconomic data
Easy-to-use spatial computation in R
Readme of myself
Personal webpage
Statistical MEthods for Regional Counts
Spatially Enhanced and Entropy-Derived Contiguity Matrix (SpEED)
R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html
A dissertation LaTeX stylesheet with Markdown support for the University of Oregon using APA format (This repository is not officially associated with the University of Oregon).
Unofficial UO beamer theme
Multi-disease modeling: from data acquisition to analysis
Introductory data munging and visualization course (Korean)