About

The MAPME Initiative

MAPME (Maps for Planning, Monitoring and Evaluation in Development Cooperation) is an initiative that develops open-source tools and methodologies for conservation monitoring and impact evaluation.

Goals

Reproducible Analysis: Create transparent, reproducible workflows for processing global biodiversity and environmental data
Open Tools: Develop open-source R packages that enable anyone to analyze conservation effectiveness
Evidence-Based Conservation: Support data-driven decision making in protected area management

Partners

KfW Development Bank: Financial cooperation projects for protected areas worldwide
GIZ: Technical cooperation and capacity building
Academic Partners: Collaboration on methodology development and validation

The mapme.biodiversity Package

The mapme.biodiversity R package is the technical foundation for these analyses. It provides:

Resource Functions: Download and manage global environmental datasets
Indicator Functions: Calculate standardized indicators for any polygon geometry
Efficient Processing: Parallel computation support for large portfolios
Standardized Output: Consistent data formats across all indicators

Supported Indicators

The package supports numerous indicators including:

Forest cover and forest loss (Global Forest Watch)
Burned areas (MODIS MCD64A1)
Landcover classification (ESA WorldCover)
Population density (WorldPop)
Climate variables (CHELSA, WorldClim)
And many more…

Data Sources

Global Forest Watch

Forest cover data from Hansen et al. (2013) provides:

Tree Cover 2000: Baseline forest extent
Year of Loss: Annual forest loss detection (2001-present)
Resolution: 30m Landsat-derived

Hansen, M. C., et al. (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change. Science, 342(6160), 850-853.

MODIS Burned Area (MCD64A1)

The MCD64A1 product provides:

Burned Area: Monthly burned area detection
Burn Date: Julian day of burning
Resolution: 500m MODIS-derived

Giglio, L., et al. (2018). The Collection 6 MODIS burned area mapping algorithm and product. Remote Sensing of Environment, 217, 72-85.

World Database on Protected Areas (WDPA)

Protected area boundaries from UNEP-WCMC and IUCN:

Polygons: Official protected area boundaries
Attributes: Governance, management, IUCN category
Updates: Monthly data releases

UNEP-WCMC and IUCN (2024), Protected Planet: The World Database on Protected Areas (WDPA).

Contact

For questions about these analyses or the MAPME Initiative:

GitHub: mapme-initiative/mapme.biodiversity.reports
Package Issues: mapme-initiative/mapme.biodiversity

License

This project is open source. Code is available under the MIT License. Data sources have their own licensing terms - please refer to the original data providers for details.

--- title: "About" --- ## The MAPME Initiative **MAPME** (Maps for Planning, Monitoring and Evaluation in Development Cooperation) is an initiative that develops open-source tools and methodologies for conservation monitoring and impact evaluation. ### Goals 1. **Reproducible Analysis**: Create transparent, reproducible workflows for processing global biodiversity and environmental data 2. **Open Tools**: Develop open-source R packages that enable anyone to analyze conservation effectiveness 3. **Evidence-Based Conservation**: Support data-driven decision making in protected area management ### Partners - **KfW Development Bank**: Financial cooperation projects for protected areas worldwide - **GIZ**: Technical cooperation and capacity building - **Academic Partners**: Collaboration on methodology development and validation ## The mapme.biodiversity Package The [mapme.biodiversity](https://github.com/mapme-initiative/mapme.biodiversity) R package is the technical foundation for these analyses. It provides: - **Resource Functions**: Download and manage global environmental datasets - **Indicator Functions**: Calculate standardized indicators for any polygon geometry - **Efficient Processing**: Parallel computation support for large portfolios - **Standardized Output**: Consistent data formats across all indicators ### Supported Indicators The package supports numerous indicators including: - Forest cover and forest loss (Global Forest Watch) - Burned areas (MODIS MCD64A1) - Landcover classification (ESA WorldCover) - Population density (WorldPop) - Climate variables (CHELSA, WorldClim) - And many more... ## Data Sources ### Global Forest Watch Forest cover data from Hansen et al. (2013) provides: - **Tree Cover 2000**: Baseline forest extent - **Year of Loss**: Annual forest loss detection (2001-present) - **Resolution**: 30m Landsat-derived > Hansen, M. C., et al. (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change. *Science*, 342(6160), 850-853. ### MODIS Burned Area (MCD64A1) The MCD64A1 product provides: - **Burned Area**: Monthly burned area detection - **Burn Date**: Julian day of burning - **Resolution**: 500m MODIS-derived > Giglio, L., et al. (2018). The Collection 6 MODIS burned area mapping algorithm and product. *Remote Sensing of Environment*, 217, 72-85. ### World Database on Protected Areas (WDPA) Protected area boundaries from UNEP-WCMC and IUCN: - **Polygons**: Official protected area boundaries - **Attributes**: Governance, management, IUCN category - **Updates**: Monthly data releases > UNEP-WCMC and IUCN (2024), Protected Planet: The World Database on Protected Areas (WDPA). ## Contact For questions about these analyses or the MAPME Initiative: - **GitHub**: [mapme-initiative/mapme.biodiversity.reports](https://github.com/mapme-initiative/mapme.biodiversity.reports) - **Package Issues**: [mapme-initiative/mapme.biodiversity](https://github.com/mapme-initiative/mapme.biodiversity/issues) ## License This project is open source. Code is available under the MIT License. Data sources have their own licensing terms - please refer to the original data providers for details.