HannaMeyer
Researcher at the Institute of Landscape Ecology at Münster University, working on remote sensing of the environment, machine learning, spatial data analysis, R
Pinned Repositories
AntAir
Scripts and functions for a monitoring of air temperature in Antarctica using MODIS data and machine learning
CAST
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
EcoMod_SpML
Machine learning for spatial data: This repository contains the R-scripts for the analysis described in the paper "Importance of spatial predictor variable selection in machine learning applications - Moving from data reproduction to spatial prediction" submitted to Ecological Modelling
Geostat2018
Material for the course on machine-learning based environmental monitoring at geostat 2018
lfsd_Poznan23
Material for the course "Learning from Spatial data" in Poznan, March 2023
MEE_AOA
Case study material for the paper on mapping the area of applicability
OpenGeoHub_2019
Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Münster 2019
OpenGeoHub_2020
Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020
OpenGeoHub_2021
Material for the tutorial on "Mapping the Area of Applicability of spatial prediction models" at the OpenGeoHub Summer School 2021
OpenGeoHub_2022
Ressources for the session on machine learning, cross validation and the area of applicability at the OpenGeoHub Summer school in Siegburg 2022
HannaMeyer's Repositories
HannaMeyer/CAST
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
HannaMeyer/Geostat2018
Material for the course on machine-learning based environmental monitoring at geostat 2018
HannaMeyer/OpenGeoHub_2019
Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Münster 2019
HannaMeyer/MEE_AOA
Case study material for the paper on mapping the area of applicability
HannaMeyer/OpenGeoHub_2020
Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020
HannaMeyer/EcoMod_SpML
Machine learning for spatial data: This repository contains the R-scripts for the analysis described in the paper "Importance of spatial predictor variable selection in machine learning applications - Moving from data reproduction to spatial prediction" submitted to Ecological Modelling
HannaMeyer/lfsd_Poznan23
Material for the course "Learning from Spatial data" in Poznan, March 2023
HannaMeyer/OpenGeoHub_2022
Ressources for the session on machine learning, cross validation and the area of applicability at the OpenGeoHub Summer school in Siegburg 2022
HannaMeyer/AntAir
Scripts and functions for a monitoring of air temperature in Antarctica using MODIS data and machine learning
HannaMeyer/OpenGeoHub_2021
Material for the tutorial on "Mapping the Area of Applicability of spatial prediction models" at the OpenGeoHub Summer School 2021
HannaMeyer/CAST_data
data used in tutorials to show the use of the R package CAST
HannaMeyer/EON2023
Material for the 3nd joint field course of the EarthObservationNetwork
HannaMeyer/IGARSS_21
Material for the conference contribution
HannaMeyer/sptm
R package of supporting functions for spatio-temporal models using machine learning
HannaMeyer/Carbon4D_project
Repository for all kinds of tasks within the project Carbon4D
HannaMeyer/conferences_2025
A list of geospatial conferences for 2025
HannaMeyer/cubes-and-clouds
This is the official repository for the online course 'Cubes & Clouds'
HannaMeyer/eo4statistics
slides and material for eo4statistics
HannaMeyer/EON2022
Material for the 2nd joint field course of the EarthObservationNetwork
HannaMeyer/EON2024
Materials for the 4nd joint field course of the EarthObservationNetwork
HannaMeyer/ML4GenTree
Materials for the workshop "Linking genotype, phenotype and the environment" at WSL Zürich 2019
HannaMeyer/mlsp_GOE24
Material for the workshop on machine learning for environmental spatial mapping in Göttingen
HannaMeyer/MSGtools
R package to handle MSG SEVIRI data that have been processed with the Marburg MSG processing routines
HannaMeyer/UAVSchool_2020
Material for the course on machine learning taught at the UAV School in Göttingen (26.-30.10.2020)