Spatial Distribution and Outlier Visualization – Amal Agarwal

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Spatial Distribution and Outlier Visualization

June 6, 2017 | amalag | Geoscience Applications, Shiny |

This app was designed to visualize the spatial distribution of observations using 2D histograms and kernel density estimation. Outliers are marked by yellow and the threshold can be changed starting from the inner fence (i.e. 3rd quartile +1.5*IQR).

Posts

December 7th, 2018

A brief review of Gaussian Process Latent Variable Models

Recently I surveyed Gaussian Process Latent Variable Models (GPLVM) while getting sidetracked in one branch after another while reviewing Bayesian nonparametrics. […]

June 27th, 2017

Decrypting substitution ciphers using MCMC

[bibshow file=references.bib] My obsession with Cryptography and MCMC algorithms led me across several articles regarding applications of MCMC to decrypt [...]

June 27th, 2017

Transitioning from R-Markdown to WordPress

Recently and perhaps too late, I discovered 3 very useful functions that can serve as a bridge from R Markdown [...]

Building and Modeling River network

This app was designed to achieve three goals over local regions: Given latitude and longitude, build and visualize the directed […]

Trend visualization for Sulphate data

This post is a continuation of the series targeted to surface water data in Pennsylvania. The trends in this app [...]