Appendix 1. Cartographic Databases for AFRICA

Brief description of selected digital maps extracted from GeoNetwork¹⁸, the FAO portal to spatial data and information.

Administrative maps

Administrative units in Africa (1993).

Potential application for a WISDOM analysis:

SPATIAL BASE: 1st and 2nd Sub-National Administrative Level.

ISO Topic Category

Boundaries.

Theme keywords

Administrative boundaries, Sub-national boundaries, Boundaries.

Place keyword

Africa.

Publication date

1993

Abstract describing the datasets

National and sub-national administrative boundaries of Africa. Administrative map of Africa clipped.


	Administrative units in Northeast Africa. Potential application for a WISDOM analysis: SPATIAL BASE: 1st and 2nd Sub-National Administrative Level.
ISO Topic Category	Boundaries.
Theme keywords	Boundaries, Horn of Africa, Administrative boundaries, Northeast Africa.
Place keyword	Africa.
Publication date	1994
Abstract describing the datasets	Administrative units in Djibouti, Eritrea, Ethiopia, Kenya, Somalia, Sudan and Uganda.
Additional information	The region is subdivided into 1220 homogeneous map units which correspond to administrative units. The level of units used in the individual countries are the following and are presented by: Country name, Adminstrative units, and number of units: Djibouti, Districts, 5; Eritrea, Woredas, 40; Ethiopia, Awrajas, 309; Kenya, Districts, 41; Somalia, Degmadas, 74; Sudan, Area councils, 85; and Uganda, Counties, 143.
Purpose	To enhance crop monitoring and forecasting procedures of regional and national early warning units.
Lineage statement
Technical Contact	Name:	Freddy Nachtergaele
	Unit:	AGLL
	Organization name:	FAO-UN
Scale	1:5,000,000
Edition	First version.


	Protected Areas of Africa. Potential application for a WISDOM analysis: SUPPLY MODULE: accessibility indexes.
ISO Topic Category	Biota.
Theme keywords	Biota, PROTECTED FORESTS, NATURE RESERVES, NATURE CONSERVATION, FOREST RESERVES.
Place keyword	Africa.
Publication date	1990
Abstract describing the datasets	Areas qualified for inclusion in The World Conservation Union management categories I-VIII, prepared by the World Conservation Monitoring Centre (WCMC), Cambridge, U.K.
Technical Contact	Name:	FAOGIS
	Unit:	SDRN
	Organization name:	FAO-UN
Scale	1:5,000,000
Map quality comment	Good. Please note that a few conservation areas are very small and thus difficult to visualize on a static GIF map.

Population distribution

Population density of Africa.

Potential application for a WISDOM analysis:

DEMAND MODULE.

ISO Topic Category

Society.

Theme keywords

Society, POPULATION DISTRIBUTION, POPULATION DENSITY.

Place keyword

Africa.

Publication date

1996

Abstract describing the datasets

Population density estimates per sqkm.

Technical Contact

Name:

Freddy Nachtergaele

Unit:

AGLL

Organization name:

FAO-UN

Map quality comment

Good, of historical importance.


	Rural population in Sub-Saharan Africa. Potential application for a WISDOM analysis: DEMAND MODULE.
ISO Topic Category	Society.
Theme keywords	Global Farming Systems Study, POPULATION STRUCTURE, Society, Sub-Saharan Africa.
Place keyword	Africa.
Publication date	2001
Begin date	2001
End date
Abstract describing the datasets	As part of the the World Bank's review of its rural development strategy, the Bank sought the assistance of the Food and Agriculture Organization of the United Nations (FAO) in evaluating how farming systems might change and adapt over the next thirty years. Amongst other objectives, the World Bank asked FAO to provide guidance on priorities for investment in food security, poverty reduction, and economic growth, and in particular to identify promising approaches and technologies that will contribute to these goals. The results of the study are summarized in a set of seven documents, comprising six regional reports and the global overview contained in this volume. This document, which synthesises the results of the six regional analyses as well as discussing global trends, cross-cutting issues and possible implementation modalities, presents an overview of the complete study. This document is supplemented by two case study reports of development issues of importance to farming systems globally.
Additional information	Data from the Oak Ridge National Laboratory, LandScan Global Population 1998 Database. Estimates for rural population were obtained by excluding the Urban Population Areas. This was achieved by removing settled and partly settled grid cells from the Landcover Dataset and removing (limiting) population density figures to produce a net result which approximates the known rural population. Raster data-set has been exported as ASCII raster file type.
Purpose	The farming systems presented in this study are considered to provide an effective broad framework for the prioritisation of development actions and investments for accelerating agricultural development, particularly in ways which can reduce rural poverty and hunger.
Technical Contact	Name:	FAOGIS
	Unit:	SDRN
	Organization name:	FAO-UN

Infrastructures

Roads in Northeast Africa.

Potential application for a WISDOM analysis:

SUPPLY MODULE: accessibility indexes.

ISO Topic Category

Transportation.

Theme keywords

Transportation, ROADS, ROAD TRANSPORT, INFRASTRUCTURE, Northeast Africa, Horn of Africa.

Place keyword

Africa.

Publication date

1994

Abstract describing the datasets

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

Purpose

To enhance crop monitoring and forecasting procedures of regional and national early warning units.

Technical Contact

Name:

Rene Gommes

Unit:

SDRN

Organization name:

FAO-UN

Scale

1:5,000,000

Edition

First version.

Land cover, forest cover

ORNL Land cover of Sub-Saharan Africa.

Potential application for a WISDOM analysis:

SUPPLY MODULE: biomass stocking estimates.

ISO Topic Category

ImageryBaseMapsEarthCover.

Theme keywords

Global Farming Systems Study, LAND USE, ImageryBaseMapsEarthCover, Sub-Saharan Africa.

Place keyword

Africa.

Publication date

2001

Begin date

2001

Additonal information

Data from the Oak Ridge National Laboratory, LandScan Global Population 1998 Database. The LandScan Land Cover Database is derived from the U.S. Geological Survey's (USGS) Global Land Cover Characteristics (GLCC) database with the following substantial modifications: 1. The LandScan Land Cover Database has been georegistered at 30 arc second resolution in a common grid for the entire globe. The original GLCC database was in Goode's Homolosine projection. 2. Considerable effort has been devoted to reconciling the positional accuracy of diverse global databases. Mismatches among databases were most conspicuous on coastlines. On the southern coast of France, for example, positional errors amounted to several kilometers, and these have been corrected. Globally, the LandScan Land Cover database coastlines are based on NIMA's World Vector Shoreline (WVS) on a 1:250,000 scale. Typically, this coastline differs somewhat from the related line representing the seaward boundary of administrative units, and both of these differ from the land/water boundary indicated on the GLCC gridded database. In the final LandScan Land Cover Database, Version 1.1, the WVS takes precedence, and water is assigned to all cells extending more than one-half cell beyond the WVS coastline. Wherever the land surface had to be expanded to reach the WVS shoreline, we inserted an ‘unclassified land’. 3. The LandScan Land Cover Database contains a much improved ‘urban’ class. We replaced the USGS ‘urban’ class with two new classes: developed and partly developed. The developed class is composed of GLCC's urban cells plus all cells included in the Census Bureau's P-95 circles. The partly developed class is derived from Nighttime Lights of the World and contains all cells with a frequency value of 90% or greater. The the ‘partly developed’ class typically includes suburban areas, small towns, and scattered industries, airports, etc.

Purpose

The farming systems presented in this study are considered to provide an effective broad framework for the prioritisation of development actions and investments for accelerating agricultural development, particularly in ways which can reduce rural poverty and hunger.

Lineage statement

Technical Contact

Name:

FAOGIS

Unit:

SDRN

Organization name:

FAO-UN


	Soil fertility index for Africa. Potential application for a WISDOM analysis: SUPPLY MODULE: biomass productivity estimates.
ISO Topic Category	Geo-scientific Information.
Theme keywords	SOIL FERTILITY, Geo-scientific Information.
Place keyword	Africa.
Publication date	1997
Abstract describing the	FAO/UNESCO soil map of the world interpreted in terms of soil fertility datasets
Technical Contact	Name:	Freddy Nachtergaele
	Unit:	AGLL
	Organization name:	FAO-UN
Scale	1:5,000,000


	Length of Growing Period (LGP) in Northeast Africa. SUPPLY MODULE: biomass productivity estimates.
ISO Topic Category	Farming.
Theme keywords	Farming, Horn of Africa, CROPS, CLIMATE, Northeast Africa.
Place keyword	Africa.
Publication date	1994
Abstract describing the datasets	Length of growing period in Djibouti, Eritrea, Ethiopia, Kenya, Somalia, Sudan and Uganda.
Additional information	For planning purposes, and to ensure compatibility with other background data (such as demographic and agricultural statistics), the information is presented according to geographic units largely following administrative boundaries. The region was therefore subdivided into 1220 homogeneous map units which correspond to administrative units, or subdivisions thereof whenever steep ecological gradients occur. These map units constitute the basic elements shown in this map.
Purpose	To enhance crop monitoring and forecasting procedures of regional and national early warning units.
Technical Contact	Name:	Rene Gommes
	Unit:	SDRN
	Organization name:	FAO-UN
Scale	1:5,000,000
Edition	First version.


	Permanent crop and arable land of Sub-Saharan Africa. Potential application for a WISDOM analysis: SUPPLY MODULE: non-forest fuelwood productivity estimates.
ISO Topic Category	Farming.
Theme keywords	Global Farming Systems Study, ARABLE LAND, CROPS, Farming, Sub-Saharan Africa.
Place keyword	Africa.
Publication date	2001
Additional information	Derived by CGIAR from the USGS Earth Resources Observation System (EROS) Data Centre (EDC) 1998, 1 km resolution, global land cover characteristics database, version 1.2 which is based on monthly NDVI data from April 1992 to March 1993. Agricultural land includes irrigated and rain-fed cropland, managed pastures, orchards, vineyards and plantations. Sparsely vegetated includes desert, semi-desert and tundra. Raster data-set has been exported as ASCII raster file type.
Purpose	This study is considered to provide an effective broad framework for the prioritisation of development actions and investments for accelerating agricultural development, particularly in ways which can reduce rural poverty and hunger.
Technical Contact	Name:	FAOGIS
	Unit:	SDRN
	Organization name:	FAO-UN
Edition	First version.

¹⁸ GeoNetwork is accessible at: http://www.fao.org/geonetwork/srv/en/main.search


	Roads in Northeast Africa. Potential application for a WISDOM analysis: SUPPLY MODULE: accessibility indexes.
ISO Topic Category	Transportation.
Theme keywords	Transportation, ROADS, ROAD TRANSPORT, INFRASTRUCTURE, Northeast Africa, Horn of Africa.
Place keyword	Africa.
Publication date	1994
Abstract describing the datasets	Roads in Djibouti, Eritrea, Ethiopia, Kenya, Somalia, Sudan and Uganda.
Purpose	To enhance crop monitoring and forecasting procedures of regional and national early warning units.
Technical Contact	Name:	Rene Gommes
	Unit:	SDRN
	Organization name:	FAO-UN
Scale	1:5,000,000
Edition	First version.


	ORNL Land cover of Sub-Saharan Africa. Potential application for a WISDOM analysis: SUPPLY MODULE: biomass stocking estimates.
ISO Topic Category	ImageryBaseMapsEarthCover.
Theme keywords	Global Farming Systems Study, LAND USE, ImageryBaseMapsEarthCover, Sub-Saharan Africa.
Place keyword	Africa.
Publication date	2001
Begin date	2001
Additonal information	Data from the Oak Ridge National Laboratory, LandScan Global Population 1998 Database. The LandScan Land Cover Database is derived from the U.S. Geological Survey's (USGS) Global Land Cover Characteristics (GLCC) database with the following substantial modifications: 1. The LandScan Land Cover Database has been georegistered at 30 arc second resolution in a common grid for the entire globe. The original GLCC database was in Goode's Homolosine projection. 2. Considerable effort has been devoted to reconciling the positional accuracy of diverse global databases. Mismatches among databases were most conspicuous on coastlines. On the southern coast of France, for example, positional errors amounted to several kilometers, and these have been corrected. Globally, the LandScan Land Cover database coastlines are based on NIMA's World Vector Shoreline (WVS) on a 1:250,000 scale. Typically, this coastline differs somewhat from the related line representing the seaward boundary of administrative units, and both of these differ from the land/water boundary indicated on the GLCC gridded database. In the final LandScan Land Cover Database, Version 1.1, the WVS takes precedence, and water is assigned to all cells extending more than one-half cell beyond the WVS coastline. Wherever the land surface had to be expanded to reach the WVS shoreline, we inserted an ‘unclassified land’. 3. The LandScan Land Cover Database contains a much improved ‘urban’ class. We replaced the USGS ‘urban’ class with two new classes: developed and partly developed. The developed class is composed of GLCC's urban cells plus all cells included in the Census Bureau's P-95 circles. The partly developed class is derived from Nighttime Lights of the World and contains all cells with a frequency value of 90% or greater. The the ‘partly developed’ class typically includes suburban areas, small towns, and scattered industries, airports, etc.
Purpose	The farming systems presented in this study are considered to provide an effective broad framework for the prioritisation of development actions and investments for accelerating agricultural development, particularly in ways which can reduce rural poverty and hunger.
Lineage statement
Technical Contact	Name:	FAOGIS
	Unit:	SDRN
	Organization name:	FAO-UN