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Layer: GRID3_DRC_schools_5_prov_V01 (ID: 3)

View In:   ArcGIS Online Map Viewer

Name: GRID3_DRC_schools_5_prov_V01

Display Field: pays

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: <DIV STYLE="text-align:Left;"><DIV><P><SPAN>The GRID3 DRC Schools - Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Provinces Version 01 dataset consists of one layer: schools point data and a table with the field descriptions for the layer. The data are available for download in Esri file geodatabase format packaged in zip files. </SPAN></P><P><SPAN>Filename: GRID3_DRC_schools_V01.gdb</SPAN></P><P><SPAN>The following layers are included in the gdb:</SPAN></P><P><SPAN>codebook_schools</SPAN></P><P><SPAN>GRID3_DRC_schools_5_prov_V01 </SPAN></P><P><SPAN>Extent: Democratic Republic of the Congo: Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami provinces.</SPAN></P><P><SPAN>DRC Province extents:</SPAN></P><P><SPAN>Haut Katanga Extent: West 25.413033 East 29.810980 North -7.611716 South -13.455997</SPAN></P><P><SPAN>Kasai Extent: West 19.676606 East 22.317255 North -2.309603 South -7.286028</SPAN></P><P><SPAN>Kasai-Oriental Extent: West 22.944402 East 24.061856 North -5.667474 South -6.773613</SPAN></P><P><SPAN>Kinshasa Extent: West 15.161557 East 16.538300 North -3.927611 South -5.050161</SPAN></P><P><SPAN>Lomami Extent: West 23.009694 East 26.280757 North -4.865162 South -8.091451</SPAN></P><P><SPAN>Coordinate system: GCS WGS 1984</SPAN></P></DIV></DIV>

Service Item Id: 7e642960543d49f9b26d84c2e08c24a7

Copyright Text: To conduct this work. the Center for International Earth Science Information Network (CIESIN) at Columbia University engaged with the mandated authorities in the DRC’s Ministry of Health who support of data collection and development for vaccination planning. Local healthcare workers were also directly involved in the mapping of the health catchment area boundaries at participatory events coordinated with in-country provincial coordinators and mappers, and in the collection of data in the field from January to July 2021. This work is part of the GRID3 Mapping for Health in the DRC project. Supported by Gavi through its INFUSE initiative, GRID3 Mapping for Health is a Ministry of Health initiative, delivered in partnership with Flowminder and CIESIN, and in collaboration with WorldPop at the University of Southampton, Kinshasa School of Public Health, UNFPA, UNOPS and Novel-T. GRID3 Mapping for Health in DRC is a continuation of previous work conducted and/or supported in the DRC by the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. Dataset citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Ministère de la Santé Publique, Hygiène et Prévention, Democratic Republic of Congo, 2022. GRID3 DRC Schools - Haut-Katanga, Kasaï, Kasaï-Oriental, Kinshasa, and Lomami Provinces- Version 01. Palisades NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/a3d6-m921. Accessed

Default Visibility: true

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports ValidateSQL: true

Supports Calculate: true

Extent:
Drawing Info: Advanced Query Capabilities:
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HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: ecoletype

Fields: Types:
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Is Data Versioned: false

Supports Rollback On Failure: true

Supports ApplyEdits With Global Ids: false

Supports ApplyEdits By Upload Id: true

Supports Query With Historic Moment: false

Supports Coordinates Quantization: true

Child Resources:   Field Groups   Contingent Values

Supported Operations:   Query   Query Attachments   Query Analytic   Query Top Features   Query Bins   Append   Validate SQL   Generate Renderer   Return Updates   Metadata   Update Metadata