Ewan Oleghe's Projects
This repo show you how to make realistic and crisp 3D digital elevation maps of any location, area or country in the world using elevatr, rayshader and rayvista packages in R ๐ง๐ผโ๐ป
This repo shares the ultimate guide to making cool 3D maps with rayshader and ggplot2 in R
This repo show you how to make a crisp 3D map of forest cover height in Brazil using satellite data ๐ง๐ผโ๐ป Check the full tutorial at https://milospopovic.net/map-rivers-with-sf-and-ggplot2-in-r/
Public PowerShell script gallery for ScriptRunner.
In this repo, I show you how to easily access one of thousands of World Development Indicators (WDI) from the World Bank database and create awesome animated maps on the global, continent and country levels
PHP CURD Operations using laravel 10
Architect is a Jekyll theme for GitHub Pages
Set of utilities and wrappers to perform change detection on satellite image time-series (Landsat and MODIS). Includes pre-processing steps and functions for spatial implementation of bfastmonitor change detection and post processing of the results.
Course website and materials for Biology 609, Advanced Data Analysis for Biology, at UMass Boston
:book: A Starter Kit for Bookdown
Intro to spatial analysis in R
Laravel ecommerce project built with Laravel 8, Inertia, Jetstream, Algolia, Mailtrap, Stripe, and Laravel-invoices.
In this tutorial, we will programmatically access satellite imagery from several APIs to create such a map of Italy. We will use a single interface to query the data without even downloading raster data to your local drive
Build custom admin panels. Fast!
Soil Science Lead Role Interview
James Grant
Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization
Presentation Ninja ๅนป็ฏๅฟ่
ยท ๅ่ฝฎ็ผ
Laravel Ecommerce Project
Personal website:
Config files for my GitHub profile.
Resume
PHP CRUD Operations in Laravel 10
rstudio::conf-2022 Workshop on Quarto
MACHINE LEARNING FOR MODELING SOC STOCKS IN NJ
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
An Introduction to Machine Learning with R