Minor roads of Jiangsu Province, China at County level

Seamless and topologically robust derivative of all linear Transport/Rail VMap0 - Ed5 data layers. The RR_LN shapefile data layer is comprised of 2492 derivative vector framework library features derived based on 1:1 000 000 data originally from VMap0, 5th Edition. The layer provides nominal analytical/mapping at 1:1 000 000. Data processing complete globally, this is an African subset. Acronyms and Abbreviations: VMap0 - Vector Map for Level 0.

The full resolution dataset of roads have been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1999.

Airports and airstrips within the Okavango Basin. Source: Digital Chart of the World (DCW) and update vectorization from ONC charts. This dataset is part of the GIS Database for the Environment Protection and Sustainable Management of the Okavango River Basin project (EPSMO). Detailed information on the database can be found in the “GIS Database for the EPSMO Project” document produced by Luis Veríssimo (FAO consultant) in July 2009, and here available for download.

The full resolution dataset of roads have been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the period 1994-1999.

Roads, tracks and railroad lines within the Okavango Basin. Source: Digital Chart of the World (DCW) with partial update editing from remote sense data. This dataset is part of the GIS Database for the Environment Protection and Sustainable Management of the Okavango River Basin project (EPSMO). Detailed information on the database can be found in the “GIS Database for the EPSMO Project” document produced by Luis Veríssimo (FAO consultant) in July 2009, and here available for download.

Major roads of Jiangsu Province, China at County level

Availability of road infrastructure for the development of commercial fish farming interpreted as density of paved and motorable. The density of paved and motorable roads was used as a surrogate for the general level of infrastructure. It was reasoned that were there are main, all weather roads, there are possibilities to transport inputs and supplies to fish farms and to send products to markets than in areas without such road infrastructure. It was also reasoned that with that where all-weather roads exist, the probability of other kinds of infrastructure in close proximity, such as electricity and communication, is enhanced. Roads data was derived from the US Defense Mapping Agency (DMA) Topographic Maps in Africa and from the DMA Global Navigation and Planning Charts of Africa.

Point based representation of Airports. The RWDB_APRT shapefile data layer is comprised of 15044 derivative vector framework library features derived based on 1:3 000 000 data originally from RWDBII. The layer provides nominal analytical/mapping at 1:3 000 000. Data processing complete globally. Acronyms and Abbreviations: RWDB2 or RWDB II- Relational World Database II.

Roads in Djibouti, Eritrea, Ethiopia, Kenya, Somalia, Sudan and Uganda.