R Markdown output (Study: Use of Urban Greenspace in Dhaka- Study)
This is a new working paper, where I am the lead author. In this study me and my collaborators are investigating what factors influence the Urban Greenspace (UGS) usage in Dhaka city, Bangladesh. This study uses multi-level logistic modelling and mediation analyses to identify the causal pathways among different dependent and independent variables associated with UGS usage. I am conducting the data analysis for this paper and I am using R for modelling and mediation analysis. I produced a R-markdown file to conduct the modelling with ease and disseminate the analytical process and outcomes all together.
Python based Greenness visibility modelling
As part of my PhD, I am developing a python based software to model the Greenness visibility exposure in 3D using LiDAR data and viewshed analysis. This software depend on widely used python packages, such as numpy, rasterio, and affine. This software estimate visbility of greenness at each cell of given raster file for very large study area with very vast lightweight viewshed algorithm.
Detailed Code Can be found: https://github.com/jonnyhuck/green-visibility-index
R Shiny App (Study: Visibility of Greenness using viewshed)
As part of my PhD, I am developing a python based software to model the Greenness visibility exposure in 3D using LiDAR data and viewshed analysis. To disseminate the outcomes of this project easily only, I developed a R-shiny based app. This code use local server on shiny website and connect the R-studio code to the surver to produce the app. In this process, I used packages such as raster, rgdal, leaflet, and shiny to produce and host the website on shiny server. Please click on the figure to test the application.