Codes, Data and all related to post I have had written
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Updated
Jul 9, 2019
Codes, Data and all related to post I have had written
Spatial Statistics in R applied in the real world
Portfolio containing examples of coding skills and applications of spatial data handling + geographic data science methods.
This repository contains the code and data necessary to reproduce the results presented in the paper "Ridge Regularization for Spatial Auto-regressive Models with Multicollinearity Issues" submitted to Advances in Statistical Analysis (AStA).
Thesis Chatper 3: This repository compares Spatial Interpolation methods to predict Seoul's air pollution
R code for the case study of the paper "Model-based disease mapping using primary care registry data" that is under review.
Provides access to the geoPHP library as a Dokuwiki plugin
This is an interactive app (run on local computer) to visualize neural likelihood surfaces from the paper "Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods"
This repository is out of date. See instead: https://github.com/paigejo/ELK
R package to power-up data science analysis based on learned techniques in the FGV MBA course.
Homework done in R
Mapping the world's offline population, a joint collaboration between Data Science for Social Good Fellowship and ITU.
A collection of examples for utilizing spatial data in R, Python, and other open-source tools.
A simple implementation for creating a Meta-learning rule using spatial statistical parameters of a dataset
Analysing Inequality in Access to Tertiary Education (Spatial Analysis & Statistics)
Novel Visualization Suite for Multiscale Geographically Weighted Regression (MGWR)
The assignments required me to create a website to display spatial analysis techniques.
Add a description, image, and links to the spatial-statistics topic page so that developers can more easily learn about it.
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