Discover our trainings
MAPME tutorials can help you learn, step by step, how to use GIS in the context of development cooperation.
QGIS trainings in KfW
Our tutorials can help you learn, step by step, how to use GIS in the context of development cooperation.
In German only
Explore it on Youtube
QGIS trainings on Youtube
A short YouTube training series introducing QGIS, covering the basics, map styling and symbology, and the use of open data sources.
Training 1: Introduction to QGIS
Training 2: Semilogy and Symbology
Training 3: Open Data Sources
Explore it on Youtube
In-depth training on using Mapme.biodiversity for impact evaluation
This training material introduces researchers and doctoral students to spatial econometrics, using the impact of protected areas on deforestation as a guiding case study, while equipping them with the theoretical, methodological, and practical tools needed to evaluate a wide range of spatially explicit intervention.
In French only
Explore it on GitHub
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Discover our code repositories
MAPME repositories contain R codes that will allow you to generate interactive statistics and insights on different impact indicators separated by sectors.
mapme.biodiversity
The mapme.biodiversity package helps to analyse a number of biodiversity related indicators and biodiversity threats based on freely available geodata-sources such as the Global Forest Watch.
The package allows for the analysis of global biodiversity portfolios with a thousand or millions of AOIs which is normally only possible on dedicated platforms such as the Google Earth Engine.
mapme.pipelines
mapme.pipelines is an R package that enables large-scale, reproducible portfolio analyses by running configurable workflows built on mapme.biodiversity. Instead of writing extensive boilerplate code, users define inputs, outputs, data resources, and indicators in a simple YAML file and execute the entire pipeline with a single run_config() function call.
oda-portfolio
oda-portfolio is an R-based workflow that uses the targets pipeline framework to compute biodiversity indicators for protected areas in countries receiving official development assistance from OECD member states. It uses spatial data from the World Database on Protected Areas and references OECD data to identify eligible countries, then processes the analysis via mapme.pipelines, providing a reproducible, configurable workflow for large-scale biodiversity portfolio analysis. Additional countries can be included by manually adding their ISO3 codes.
mapme-docker
mapme-docker provides Docker images preconfigured with the latest releases of GDAL, PROJ, GEOS, and a curated set of recent R spatial packages. The images, based on rocker, are published on GitHub and can be run locally or built from source, providing a ready-to-use environment for spatial analysis.
Discover other resources
MAPME tools are designed for an easy start. We host different types of resources that can help you get in touch with the topic and deliver better results.
Project Location Model
The open Project Location Model is an open standard for collecting location information in development cooperation. It is based and extends the IATI reporting standards to be geo-compatible.
Guide to Earth Observation in Development Cooperation
A technical guide on using earth observation to measure different monitoring indicators in development cooperation.
MAPME Biodiversity Reports
LLM-supported coding workflows to generate reproducible reports assessing conservation threats and outcomes in protected areas. Built with R, Quarto, and mapme.biodiversity, these interactive reports support investment prioritization and impact evaluation.
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