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!
-
-
We are thrilled to introduce you to the next chapter in our journey: the technical relaunch of our MAPME website.
-
Going beyond deforestation statistics in conservation evaluation: How landscape metrics can help us to understand the effects of infrastructure development on habitat integrity.
-
Going beyond deforestation statistics in conservation evaluation: How landscape metrics can help us to understand the effects of infrastructure development on habitat integrity.
-
How satellite Earth observation and in-situ data help to monitor agricultural production in the Senegal Delta.
-
How Earth observation data helps to support combating invasive species Prosopis juliflora in the Afar Region, Ethiopia.
-
How data helps us to measure our project impacts and to identify future challenges in and around protected areas.
-
How satellite data can help us understand spatial patterns of agricultural productivity through time.
- 1
- 2