Giter VIP home page Giter VIP logo

Hanna Meyer's Projects

antair icon antair

Scripts and functions for a monitoring of air temperature in Antarctica using MODIS data and machine learning

cast icon cast

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

ecomod_spml icon 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

eon2022 icon eon2022

Material for the 2nd joint field course of the EarthObservationNetwork

eon2023 icon eon2023

Material for the 3nd joint field course of the EarthObservationNetwork

geostat2018 icon geostat2018

Material for the course on machine-learning based environmental monitoring at geostat 2018

lfsd_poznan23 icon lfsd_poznan23

Material for the course "Learning from Spatial data" in Poznan, March 2023

mee_aoa icon mee_aoa

Case study material for the paper on mapping the area of applicability

ml4gentree icon ml4gentree

Materials for the workshop "Linking genotype, phenotype and the environment" at WSL Zürich 2019

mlsp_goe24 icon mlsp_goe24

Material for the workshop on machine learning for environmental spatial mapping in Göttingen, January 2024

msgtools icon msgtools

R package to handle MSG SEVIRI data that have been processed with the Marburg MSG processing routines

opengeohub_2019 icon opengeohub_2019

Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Münster 2019

opengeohub_2020 icon opengeohub_2020

Ressources for the session on machine learning and remote sensing at the OpenGeoHub Summer school in Wageningen 2020

opengeohub_2021 icon opengeohub_2021

Material for the tutorial on "Mapping the Area of Applicability of spatial prediction models" at the OpenGeoHub Summer School 2021

opengeohub_2022 icon opengeohub_2022

Ressources for the session on machine learning, cross validation and the area of applicability at the OpenGeoHub Summer school in Siegburg 2022

sptm icon sptm

R package of supporting functions for spatio-temporal models using machine learning

uavschool_2020 icon uavschool_2020

Material for the course on machine learning taught at the UAV School in Göttingen (26.-30.10.2020)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.