Data Inventory Draft Technical Report

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4.2Data Produced and/or Distributed by Other Organizations

4.2.1United Nations Population Division

The United Nations Population Division Department of Economic and Social Affairs releases every two years a comprehensive set of demographic indicators for the 1950-2050 period in digital form at national level called UN Population Prospect. In all data sets, figures for 1950-2000 are estimates and those for 2000-2050 are projections. Most data sets present the results of the four traditional projection variants, namely, the low, medium, high and constant-fertility variants. Selected indicators are presented for an additional three variants: the zero-migration, constant-mortality and instant-replacement fertility variants. For countries highly affected by the HIV/AIDS epidemic, the results of the medium variant, which includes explicitly the effects of the epidemic, are compared with a hypothetical projection assuming that there is no AIDS. Data sets are presented as Microsoft Excel files. The 57 Excel files are organized into ten groups (a) period indicators, (b) stock indicators, (c) population by age and sex, quinquennial, (d) population by age and sex, annual, (e) mortality indicators by age, (f) fertility indicators by age, (g) AIDS indicators, (h) zero-migration variant (i) constant-mortality variant and (j) instant-replacement variant. A detail list of the data included in each of the above subjects is reported in Annex B. Data is not very detailed and often is a result of estimates, it can provide indicative information.

4.2.2World Health Organization (WHO)

The Second Administrative Level Boundaries (SALB) Project is a dataset which aims at improving the availability of digital administrative boundaries at the second sub-national level. The SALB database, implemented by WHO, will be part of the UN geographic database developed in the context of the United Nations Geographic Information Working Group (UNGIWG). The SALB dataset is a global digital dataset consisting of digital maps and codes that can be downloaded at no cost from the SALB website on a country by country basis. In order to insure consistency from one country to another, the database uses an international border standard developed in the context of the UN Geographic Database. SALB uses the ISO3 coding scheme for country polygons while first and second administrative levels use a 3-digit numeric code each starting from “001” and sequentially incremented of one unit (“002”, “003”...). The dataset produced by the SALB project is expected to become a standard for any GIS application at sub-national level requiring geo-referenced administrative units.

The Global Database on Child Growth and Malnutrition is a standardized compilation of child growth and malnutrition data from nutritional surveys conducted around the world since 1960. The data includes aggregated and disaggregated information on child growth and malnutrition measured by the traditional indicators (underweight, stunting, wasting and overweight) and comprises over 1700 nutritional surveys. Nationally representative data on child growth and malnutrition are available from countries which, together, cover more than 80% of the world's under-five population. Data and references are updated on a regular basis. It makes use of the National Center for Health Statistics and World Health Organization (NCHS/WHO) international reference population and include information on (a) growth retardation prevalence for under-5-year-olds (as measured by the proportion of weight-for-age, height-for-age and weight-for-height below -2 and -3 standard deviations), (b) prevalence of overweight, as measured by the proportion of children with weight-for-height above +2, (c) stratification of the results according to age, sex, region, and rural/urban strata.

4.2.3Centre for Research on the Epidemiology of Disasters (CRED)

CRED in collaboration with FAO has created a Disaster Database (EMDAT) including geo-referenced historical data between the years 1975 and 2000. The geo-referencing process aimed to localize each disaster within a country, by identifying geographical names recorded in EM-DAT and assigning 1st administrative level location codes to each registered disaster event. In total, more than 2,300 events included in EM-DAT have been geo-referenced. It has resulted in 3,900 records at the first administrative level. Data is currently available for Asia. Disasters are distinguished in “Natural” and “Technological”. The countries for which data is available are: Afghanistan, Malaysia, Bangladesh, Myanmar, Bhutan, Nepal, Cambodia, Pakistan, China, Philippines, India, Sri Lanka, Indonesia, Taiwan, Iran, Thailand, Japan, Vietnam and Laos. EMDAT is also issuing every week, for all new disasters, GLobal IDEntifier Numbers (GLIDE) which is a system that assigns unique and unambiguous identification number to each disaster. The components of a GLIDE number consist of two letters to identify the disaster type (e.g. ST - storms); the year of the disaster; a four-digit, sequence number; and the three-letter ISO code for country of occurrence. So, for example, the GLIDE number for Hurricane Mitch in Honduras is: ST-1998-0345-HND. This number is posted by ReliefWeb and ADRC on all their documents relating to that particular disaster and gradually other partners will include it in whatever information they generate. As information suppliers join in this initiative, documents and data pertaining to specific events may be easily retrieved from various sources or linked together using the unique GLIDE numbers. Details on the information included in EMDAT database are included in Annex B.

4.2.4Joint Research Centre (JRC)

The Global Vegetation Monitoring Unit at JRC is coordinating and implementing the GLOBAL LAND COVER 2000 Project (GLC 2000) in collaboration with a network of partners around the world. The general objective is to provide for the year 2000 a harmonized land cover database over the whole globe. To achieve this objective GLC 2000 makes use of the VEGA 2000 dataset: a dataset of 14 months of pre-processed daily global data acquired by the VEGETATION instrument on board the SPOT 4 satellite, made available through a sponsorship from members of the VEGETATION programme, including JRC. The products available for download although they are NOT in their final version. Data has a spatial resolution of 1km at Equator and map projection is geographic (Lat/Lon)

4.2.5U.S. Geological Survey's (USGS) Earth Resources Observation System (EROS)

The EROS Data Center, the University of Nebraska-Lincoln (UNL) and the Joint Research Centre of the European Commission are generating a 1-Km Resolution Global Land Cover Characteristics Database. Funding for the project is provided by the USGS, NASA, U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, U.S. Forest Service, and the United Nations Environment Programme. The data set is derived from 1-km Advanced Very High Resolution Radiometer (AVHRR) data spanning a 12-month period and is based on a flexible database structure and seasonal land cover regions concepts. Seasonal land cover regions provide a framework for presenting the temporal and spatial patterns of vegetation in the database. The regions are composed of relatively homogeneous land cover associations having common levels of primary production. It is developed on a continent-by-continent basis. While each continental database has unique elements, there are a common set of derived thematic maps produced through the aggregation of seasonal land cover regions. The information used to compile the Global Land Cover Characteristics Database includes: (a) 1-kilometer AVHRR NDVI composites, (b) digital elevation data, (c) ecoregions interpretations and (d) country or regional-level vegetation and land cover maps. The following derived data sets are included in the Global Land Cover Database: (a) Global Ecosystems, (b) IGBP Land Cover Classification, (c) U.S. Geological Survey Land Use/Land Cover System, (d) Simple Biosphere Model, (e) Simple Biosphere 2 Model and (f) Biosphere Atmosphere Transfer Scheme. The global land cover characteristics data are in a flat, headerless raster format. Data are distributed as compressed and uncompressed single-band images. The files can be obtained either by anonymous file transfer protocol (ftp) or downloaded from the LP Distributed Active Archive Center (DAAC).

Codes	Global Ecosystems Legend	IGBP Land Cover Legend	USGS Land Use/Land Cover System Legend	Simple Biosphere Model Legend	Simple Biosphere 2 Model Legend	Biosphere Atmosphere Transfer Scheme Legend
1	Urban	Evergreen Needleleaf Forest	100 Urban and Built-Up Land	Evergreen Broadleaf Trees	Broadleaf Evergreen Trees	Crops, Mixed Farming
2	Low Sparse Grassland	Evergreen Broadleaf Forest	211 Dryland Cropland and Pasture	Broadleaf Deciduous Trees	Broadleaf Deciduous Trees	Short Grass
3	Coniferous Forest	Deciduous Needleleaf Forest	212 Irrigated Cropland and Pasture	Deciduous and Evergreen Trees	Broadleaf and Needleleaf Trees	Evergreen Needleleaf Trees
4	Deciduous Conifer Forest	Deciduous Broadleaf Forest	213 Mixed Dryland/Irrigated Cropland and Pasture	Evergreen Needleleaf Trees	Needleleaf Evergreen Trees	Deciduous Needleleaf Tree
5	Deciduous Broadleaf Forest	Mixed Forest	280 Cropland/Grassland Mosaic	Deciduous Needleleaf Trees	Needleleaf Deciduous Trees	Deciduous Broadleaf Trees
6	Evergreen Broadleaf Forests	Closed Shrublands	290 Cropland/Woodland Mosaic	Ground Cover with Trees and Shrubs	Short Vegetation/C4 Grassland	Evergreen Broadleaf Trees
7	Tall Grasses and Shrubs	Open Shrublands	311 Grassland	Groundcover Only	Shrubs with Bare Soil	Tall Grass
8	Bare Desert	Woody Savannas	321 Shrubland	Broadleaf Shrubs with Perennial Ground Cover	Dwarf Trees and Shrubs	Desert
9	Upland Tundra	Savannas	330 Mixed Shrubland/Grassland	Broadleaf Shrubs with Bare Soil	Agriculture or C3 Grassland	Tundra
10	Irrigated Grassland	Grasslands	332 Savanna	Groundcover with Dwarf Trees and Shrubs	Water, Wetlands, Ice/Snow	Irrigated Crops
11	Semi Desert	Permanent Wetlands	411 Deciduous Broadleaf Forest	Bare Soil		Semidesert
12	Glacier Ice	Croplands	412 Deciduous Needleleaf Forest	Agriculture or Grassland		Ice Caps and Glaciers
13	Wooded Wet Swamp	Urban and Built-Up	421 Evergreen Broadleaf Forest			Bogs and Marshes
14	Inland Water	Cropland/Natural Vegetation Mosaic	422 Evergreen Needleleaf Forest			Inland Water
15	Sea Water	Snow and Ice	430 Mixed Forest			Ocean
16	Shrub Evergreen	Barren or Sparsely Vegetated	500 Water Bodies			Evergreen Shrubs
17	Shrub Deciduous	Water Bodies	620 Herbaceous Wetland	Persistent Wetland		Deciduous Shrubs
18	Mixed Forest and Field		610 Wooded Wetland	Dry Coastal Complexes		Mixed Forest
19	Evergreen Forest and Fields		770 Barren or Sparsely Vegetated	Water		Interrupted Forest
20	Cool Rain Forest		820 Herbaceous Tundra	Ice Cap and Glacier		Water and Land Mixtures
21	Conifer Boreal Forest		810 Wooded Tundra
22	Cool Conifer Forest		850 Mixed Tundra
23	Cool Mixed Forest		830 Bare Ground Tundra
24	Mixed Forest		900 Snow or Ice
25	Cool Broadleaf Forest
26	Deciduous Broadleaf Forest
27	Conifer Forest
28	Montane Tropical Forests
29	Seasonal Tropical Forest
30	Cool Crops and Towns
31	Crops and Town
32	Dry Tropical Woods
33	Tropical Rainforest
34	Tropical Degraded Forest
35	Corn and Beans Cropland
36	Rice Paddy and Field
37	Hot Irrigated Cropland
38	Cool Irrigated Cropland
39	Cold Irrigated Cropland
40	Cool Grasses and Shrubs
41	Hot and Mild Grasses and Shrubs
42	Cold Grassland
43	Savanna (Woods)
44	Mire, Bog, Fen
45	Marsh Wetland
46	Mediterranean Scrub
47	Dry Woody Scrub
48	Dry Evergreen Woods
49	Volcanic Rock
50	Sand Desert
51	Semi Desert Shrubs
52	Semi Desert Sage
53	Barren Tundra
54	Cool Southern Hemisphere Mixed Forests
55	Cool Fields and Woods
56	Forest and Field
57	Cool Forest and Field
58	Fields and Woody Savanna
59	Succulent and Thorn Scrub
60	Small Leaf Mixed Woods
61	Deciduous and Mixed Boreal Forest
62	Narrow Conifers
63	Wooded Tundra
64	Heath Scrub
65	Coastal Wetland, NW
66	Coastal Wetland, NE
67	Coastal Wetland, SE
68	Coastal Wetland, SW
69	Polar and Alpine Desert
70	Glacier Rock
71	Salt Playas
72	Mangrove
73	Water and Island Fringe
74	Land, Water, and Shore)
75	Land and Water, Rivers
76	Crop and Water Mixtures
77	Southern Hemisphere Conifers
78	Southern Hemisphere Mixed Forest
79	Wet Sclerophylic Forest
80	Coastline Fringe
81	Beaches and Dunes
82	Sparse Dunes and Ridges
83	Bare Coastal Dunes
84	Residual Dunes and Beaches
85	Compound Coastlines
86	Rocky Cliffs and Slopes
87	Sandy Grassland and Shrubs
88	Bamboo
89	Moist Eucalyptus
90	Rain Green Tropical Forest
91	Woody Savanna
92	Broadleaf Crops
93	Grass Crops
94	Crops, Grass, Shrubs

4.2.6Oak Ridge National Laboratory (ORNL) Global Population Project

The LandScan 2001 Global Population Database is an improved version of LandScan 2000. It is a raster version of the population data at sub-national level developed by Oak Ridge National Laboratory for the United States Department of Defense. It provides data on rural and urban population. The LandScan data set is a worldwide population database compiled on a 30" X 30" latitude/longitude grid. Census counts (at sub-national level) were apportioned to each grid cell based on likelihood coefficients, which are based on proximity to roads, slope, land cover, nighttime lights, and other data sets. The LandScan files are available via the internet in ESRI grid format by continent and for the world.

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