Md Zia Uddin Foisal's repositories
Bangladseh-Power-Plant-Database-WebMap
Insights drawn for Bangladesh from the global power plant database.
BGD-Disaster-Climate-Risk-Dashboard-World-Bank
The repo maintains the code for Bangladesh CCDR shiny dashboard
REACH_BGD_Shelter_Addressing_Methodology_Code_2022
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.
CCDR-tools
Geoanalytics for climate and disaster risk screening
deep-learning-for-earth-observation
Application of deep learning for earth observation.
FIELDimageR
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.
Predicting_School_Drop-out_Using_ML
This repository is used to store the codes for the research project of predicting school dropout in Southern Bangladesh using machine learning algorithms.
REACH_BGD_CXB_NatHaz_TWG_DASHBOARD_2022
This dashboard summarizes the current work of the Natural Hazard Risk Analysis Technical Working Group (NatHaz TWG).
reproducible_drought_index
A repository to practice reproducible research practices while studing the state of the drought around the world
SpatialDataWithR
examples and practices for learning
wbgviz
Several R packages for World Bank-standard visualisations, building on ggplot2
zia-foisal
Config files for my GitHub profile.
Geographic-Data-Science-Book
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.
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Understanding-Deep-Learning
Understanding Deep Learning - Simon J.D. Prince