Import CAR UNICEF Education
- Preparation, discussion - April 2013
- Import - expected start in April 2013
The data has been collected on the field by UNICEF during various surveys. The dataset consists of 934 nodes for 6 regions (prefectures) of CAR: Mambere-Kadei (98 nodes), Nana-Gribizi (70 nodes), Nana-Mambere (115 nodes), Ouaka (151 nodes), Ouham (247 nodes) and Ouham-Pende (253 nodes).
The dataset contains following field attributes: ID, WPT, CODE, TYPE, LAT_DD, LONG_DD, ALT_M, PAYS, PREF, S_PREF, COMM, VILLE_VILL, QUARTIER, POP_VILLE_, STATUT_ECO, CYCLE, NOM_ECOLE, NB_ELEVES, NB_FILLES, NB_SALLES_, NB_INSTITU, NB_MA_TE_P, APE, TYPE_CONST, LTA, VIP, NB_VIP_PLE, LATRINES_S, NB_LAVE_MA, CLUB_HYGIE .
ODbL Compliance verified: YES
The authorization given by UNICEF CAR was approved by the OSMF License Working Group as ODbL compatible.
Data Reduction & Simplification
The data will be reduced only to the keys listed below.
Considering the accuracy of the location is sometimes coarse and the objects have to be moved, a fixme will be created with the UNICEF pair of coordinates as values so that the contributors can have a track of the original location.
In the spreadsheet below, No values are not counted within the number of objects. The other fields are considered as not relevant and so will not be tagged.
|Unicef Key||Unicef value (number)||OSM tag|
|ID||not tagged because not relevant|
|WPT||not tagged because not relevant|
|CODE||not tagged because not relevant|
|TYPE||not tagged because not relevant|
|LAT_DD||not tagged because not relevant|
|LONG_DD||not tagged because not relevant|
|PAYS||not tagged because not relevant|
|PREF, SOUS_PREF, COMM, VILLE_VILL, QUARTIER||addrːfull=*|
|NB_INSTITU + NB_MA_TE_P||Addition of the two fields||capacity:teachers=*|
We will use the following changeset tags.
Data were received as a XLS sheet. Reduction, simplification, manual cleaning and tag transformation will be done directly in a copy of the XLS file. The two fields of coordinates will be renamed X and Y. Then the file will be converted into CSV and divided into 6 files based on the region. The 6 CSV files will be opened with JOSM as CSV files with the opendata plugin. Finally the files will be saved in the OSM format and ready for distribution/import.
Data Merge Workflow
The import will be discussed in the import list.
Please refer to the workflow page.
In case of any trouble, JOSM reverter will be used.
Unicef dataset has 934 nodes out of which all should be imported. In the 6 regions of CAR where import will be happening, the only education facilities mapped are those already mapped by Eurosha volunteers in Bangui and cities taken by the rebels in December 2012. These cities are: Mbrès (region Nana-Grěbizi), Kaga-Bandoro(region Nana-Grěbizi), Batangafo (region Ouham) and Kabo (region Ouham). Only data in these cities will be manually merged.