KfW supports the development of the Open Source R package mapme.biodiversity. The package is written in R and published on CRAN. It is used by analysts to process big geospatial data efficiently. A major upgrade is currently being worked on to enable seamless scaling of workflows from laptops to the cloud for anyone. For this, the GDAL library which provides an efficient format-agnostic abstraction layer to access geospatial data from a variety of sources has been leveraged. Together with a standardized output format, the package delivers crucial information in a timely manner for evidence-based decision making in development cooperation projects. This work on this software has been presented at the General Assembly of the European Geosciences Union (EGU) 2024. In a session dedicated to the usage of Earth Observation to monitor and achieve the UN Sustainable Development Goals (SDG), the software was showcased for its delivery of value in a fast, reproducible, and transparent way. You can find the slides of the presentation here. The planned release date of the upgrades is planned for the end of June 2024. You can check a dedicated issue on our GitHub repository to stay informed of the progress.
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KfW is progressing on its work to create a curated collection of free and open data portals to enable our staff and partners to better use open data for project planning, monitoring and evaluation.
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KfW supports the development of the Open Source R package mapme.biodiversity. The package is written in R and published on CRAN. It is used by analysts to process big geospatial data efficiently.
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Melvin Wong and Ingrid Dallmann presented “Geospatial impact evaluation of the KfW and the AFD conservation portfolio on forest cover loss” in the Symposium organised by the Independent Evaluation Group (IEG) of the World Bank, on April 11, 2024.
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We are excited to announce the launch of the BETSAKA project, an initiative to assess the environmental and socio-economic impacts of protected areas in Madagascar from 2000 to 2024.
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Within the context of the MAPME initiative, CartONG is currently developing open-source processing routines to access data from Open Street map to automatically download, subset and process energy infrastructure data.
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Members from the Steering Committee of MAPME are delighted to announce the validation of the Community Strategy.
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KfW is currently starting an effort to update and complement georeferencing the protected areas portfolio.
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KfW is working on an update of the Open Project Location Model. The Open Project Location Model is a data model to systematically collect location-specific information in projects supported by international development cooperation in a structured way.
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We are thrilled to introduce you to the next chapter in our journey: the technical relaunch of our MAPME website.
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Going beyond deforestation statistics in conservation evaluation: How landscape metrics can help us to understand the effects of infrastructure development on habitat integrity.
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Going beyond deforestation statistics in conservation evaluation: How landscape metrics can help us to understand the effects of infrastructure development on habitat integrity.
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How satellite Earth observation and in-situ data help to monitor agricultural production in the Senegal Delta.
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