Updated October 11, 2018
| Dataset date: Oct 11, 2018
This dataset updates: Never
The spreadsheet have 2 worksheet (Pop and Geoimpact). Geoimpact is the result of overlaying the shakemap with admin4 (village) boundaries from BPS. This processing and analysis was done by the World Food Programme (WFP).
Updated October 3, 2018
| Dataset date: Sep 28, 2018
This dataset updates: Every year
This is a shape file showing the potential for inundation on the coast of Palu City and its surroundings, as a result of the Central Sulawesi Tsunami. This file was generated by BMKG - the Indonesian Meteorological, Climatological, and Geophysical agency.
Updated October 1, 2018
| Dataset date: Sep 30, 2018
This dataset updates: Never
This datasets are extracted from the government sources. Levels 1-4 (Province to village) of Central Sulawesi areas where hit by M 7.4 RS Earthquake on 28 September 2018.
Central Sulawesi administrative level 1 (province or special administrative area), 2 (Districts and Cities / Kabupaten and Kota), 3 ( Subdistricts / Kecamatan), and 4 (administrative Villages / Desa) boundary polygons.
Each original resource with Indonesian field names and codes is accompanied by a version that appends standard field names and P-codes.
Updated August 16, 2018
| Dataset date: Feb 10, 2015
This dataset updates: Every year
This spatial dataset provides the delimitation of major river bodies and river banks in DPR Korea. Waterbody names in English are also included where known.
Updated August 16, 2018
| Dataset date: Jan 1, 2000
This dataset updates: Every year
Democratic People's Republic of Korea: Elevation
This data comes from the Global Mapping initiative, a project of the International Steering Committe for Global Mapping.
Updated August 16, 2018
| Dataset date: Jan 1, 2013
This dataset updates: Every year
This spatial dataset of settlements is a national dataset of 729 villages, towns and cities and suburbs across DPR Korea. The attribute information includes the location name (in English) and the associated province name. This dataset can be complemented by the OSM dataset.
This dataset was provided to the UN-OCHA Regional Office for the Asia-Pacific by the World Food Programme. It is believed that the original source of the data is the Global Mapping initiative.
Updated August 16, 2018
| Dataset date: Jan 1, 2000
This dataset updates: Every year
Democratic People's Republic of Korea railroads
This data comes from the Global Mapping initiative, a project of the International Steering Committe for Global Mapping.
Updated August 16, 2018
| Dataset date: Oct 14, 2014
This dataset updates: Every year
The datasets were obtained from the Department of Geography of the Ministry of Land Management, Urbanization and Construction in 2008 and unofficially updated in 2014 according to sub-decrees on administrative modifications.
Updated August 16, 2018
| Dataset date: Feb 1, 2015
This dataset updates: Every year
This spatial dataset provides the delimitation of major rivers and water courses in DPRK that are attributed with a hydrological description. Watercourse name in English are also included where known.
Updated August 16, 2018
| Dataset date: Feb 10, 2015
This dataset updates: Every year
This spatial dataset provides the delimitation of primary and secondary roads in DPR Korea. Road names in English are also included where known. Broken road segments were merged where appropriate.
Updated August 16, 2018
| Dataset date: Jan 1, 2005
This dataset updates: Every year
This is the Hydrology network in Thailand. It includes major rivers and lakes (as Polygons) as well as streams and canals (as Lines). This data comes from GISTA The Thai Space Agency.
Updated August 16, 2018
| Dataset date: Mar 1, 2015
This dataset updates: Every year
This spatial dataset of settlements is a national dataset of 3,327 villages, hamlets, towns, cities and neighbourhoods across Viet Nam. The attribute information includes the location name in English and the associated province, district and commune administrative name and code.
