jernejjevsenak Goto Github PK
Name: Jernej Jevšenak
Type: User
Company: Technical University of Munich
Bio: Researcher, tree-ring science, forest modeling, climate change, carbon
Location: Freising, Germany
Name: Jernej Jevšenak
Type: User
Company: Technical University of Munich
Bio: Researcher, tree-ring science, forest modeling, climate change, carbon
Location: Freising, Germany
This repository hosts the Jupyter notebooks developed for the lecture on 'Analysis of Big Earth Data with Jupyter notebooks' during the OpenGeoHub Summer School 2020.
Slides and code for my mapview tutorial at OpenGeoHub Summer School 2020
OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training
In this repository, there are R scripts saved, which were used for the analysis of European tree-ring network paper, originally submitted to the Quaternary Science Reviews journal
Slides and lecture notes on how to process large spatial data with R
R scripts with running example to calculate SPEI using daily resolution climate data
This repository hosts the Jupyter notebooks developed for the lecture on 'Dashboarding with Jupyter and Voila' during the OpenGeoHub Summer School 2020.
This is my research data used for publications
Some random datasets to be shared with others
Provides novel dendroclimatological methods, primarily used by the Tree-ring research community.
Library with nonlinear methods for analyzing dendroclimatological data
dendroTools github repository
R functions to calculate SPEI correlations with tree-rings based on the dendroTools method
materials for dendroTools workshop presented at TRACE 2021 and now available online at https://dendroschool.org/
Here I provide presentation and exercises for TRACE 2024 dendroTools workshop
dendroTools2
quick test to compare Curtis HD model and brnn
Norway spruce example data and R script for the comparison of nonlinear mixed-effects models and artificial neural networks for predicting tree-heights
Landmap package for R
Machine Learning Forest Simulator
Material for the session "Introduction to Deep Learning in R for the analysis of UAV-based remote sensing data"
course materials for OpenGeoHub2020
Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020
Materials for OpenGeoHub summer school 2020 tutorial on "Creating and Analyzing Multi-Variable Earth Observation Data Cubes in R"
material for summer school webinar
This is only temporary to share my script
TIFF file
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China tencent open source team.