Md Zia Uddin Foisal's Projects
Insights drawn for Bangladesh from the global power plant database.
The repo maintains the code for Bangladesh CCDR shiny dashboard
Geoanalytics for climate and disaster risk screening
Application of deep learning for earth observation.
FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evaluate stand count, canopy percentage, and plant height.
This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.
This repository is used to store the codes for the research project of predicting school dropout in Southern Bangladesh using machine learning algorithms.
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
This dashboard summarizes the current work of the Natural Hazard Risk Analysis Technical Working Group (NatHaz TWG).
This repository contains the methodology and script used to generate the sequential shelter addresses in the Rohingya Refugee Camps of Cox's Bazar District, Bangladesh.
A repository to practice reproducible research practices while studing the state of the drought around the world
examples and practices for learning
Understanding Deep Learning - Simon J.D. Prince
Several R packages for World Bank-standard visualisations, building on ggplot2
Config files for my GitHub profile.