KfW is also 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. It was developed by the KfW Development Bank, which is using and improving it together with their peers and partners. The model is currently provided in Excel format (xlsx) to be used in combination with a KML file. Data related to specific project locations should be collected according to this standard. The project location model utilizes mostly predefined categories under the IATI standard and built-in selection methods facilitating clean data entry. A main difference to the IATI-standard is that the existing, insufficient IATI list of location types (e.g., “well” or “school”) has now been expanded by 197 new project location types, including “immaterial” ones like “Capacity Development / Training” or “Voucher Scheme”, that cannot be plotted according to any physical feature on a map, but can defined by the area covered by them. Therefore, the definition of “location type” is also adapted as “project output- or intervention-related type of physical location or immaterial output- or intervention area”. This way, it is aimed at covering all physical and immaterial location types required by international development cooperation standards.
Looking forward to your feedback on this model on Github!
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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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