Dimitrios Kopanelis's Projects
My 2-day short course on spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
This repo shares the ultimate guide to making cool 3D maps with rayshader and ggplot2 in R
A repository of my Coursera latex code and notes
r package for cartogram creation
Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.
Rossiter2022-How well does digital soil mapping represent soil geography? An investigation from the USA
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
The Leek group guide to data sharing
GSP SID Sandbox
Config files for my GitHub profile.
Exploratory Data Analysis in R
Material for the course on machine-learning based environmental monitoring at geostat 2018
Teaching materials for the R package ggplot2
R Interface to Leaflet Maps
š JavaScript library for mobile-friendly interactive maps šŗš¦
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Tidy data lesson using Lord of the Rings data.
Digital Soil Mapping in Mexico
OpenGeoHub summer school 2022 materials
Links and slides from the OpenGeoHub summer school 2022
Ressources for the session on machine learning, cross validation and the area of applicability at the OpenGeoHub Summer school in Siegburg 2022
Example scripts, algorithms etc
Red is a next-generation programming language strongly inspired by Rebol, but with a broader field of usage thanks to its native-code compiler, from system programming to high-level scripting and cross-platform reactive GUI, while providing modern support for concurrency, all in a zero-install, zero-config, single ~1MB file!
This repository contains files for automated soil sampling selection using the K-Means algorithm in R. The repository is intended for researchers and practitioners interested in automated soil sampling selection using the K-Means algorithm.
Random Forest Spatial Interpolation
This is a mirror of the git repository of SAGA GIS. Original version at: https://sourceforge.net/p/saga-gis/code/ci/master/tree/ Feel free top open pull requests here, I can push to the official repo afterwards.
Deep Neural Network with keras-R (TensorFlow GUP backend): Satellite-Image Classification