Compendium of publicly available global datasets (gridded maps) at resolution of 0.05 arcdegree (5.6 km) By: T. Hengl Last update: 10 July 2010. URL: http://spatial-analyst.net/wiki/index.php?title=Global_datasets -------------------------------- The maps shown provided in this article are intended for non-commercial scientific, conservation, and educational purposes only. The author of this article is not responsible for any loss, damage, liability or expense that resulted from use of this data. The author does not make any warranties as to the accuracy or completeness of any of the maps presented. To obtain the most up-to-date, most detailed version of each dataset, please follow the links to the original data producers/providers. To cite some of the original derived maps, please use the following reference: Hengl, T. 2009. A Practical Guide to Geostatistical Mapping, 2nd Edt. University of Amsterdam, www.lulu.com, 291 p. ISBN 978-90-9024981-0 chapter #4: "Auxiliary data sources" [http://spatial-analyst.net/book/DataSources] List of maps -------------------------------- 1 CHLOm Mean long-term chlorophyll a concentration in the sea estimated using MODIS Aqua 2 CHLOs Mean long-term chlorophyll a concentration in the sea estimated using MODIS Aqua (standard deviation) 3 CLOUDFm Mean long term Cloud fraction based on MODIS monthly images 4 CLOUDFs Standard deviation of the long term Cloud fraction based on MODIS monthly images 5 FRA2000 Forest cover types based on the Forest Resources Assessment (FRA) project 6 GSHPUB GSHAP Global Seismic Hazard Map 7 IGBP MOD12C1 17 land cover classes defined by the International Geosphere Biosphere Programme (IGBP) 8 IGBPm Membership values for MOD12C1 17 land cover classes defined by the International Geosphere Biosphere Programme (IGBP) 9 LAIm Mean long term Leaf Area Index (downscaled) 10 LAIs Mean long term Leaf Area Index (standard deviation) 11 LISOTD Lightning combined Flash Rate 12 LSTDm Mean Day-time MODIS Land Surface Temperature based on the monthly LST images 13 LSTDs Deviation of the Day-time MODIS Land Surface Temperature based on the monthly LST images 14 LSTNm Mean Night-time MODIS Land Surface Temperature based on the monthly LST images 15 LSTNs Deviation of the Night-time MODIS Land Surface Temperature based on the monthly LST images 16 PCEVI1 EVI Principal Component #1 17 PCEVI2 EVI Principal Component #2 18 PCEVI3 EVI Principal Component #3 19 PCEVI1 EVI Principal Component #4 20 PHH2Oreg Soil mean pH measured in H2O and predicted using correlation with worldmaps 21 PRECm Precipitation estimated based on the GSMaP 22 SNOWCm Mean long term snow coverage fraction based on MODIS monthly images 23 SNOWCs Standard deviation of the long term snow coverage fraction based on MODIS monthly images 24 SOC Soil Organic Carbon in kg/m^3 of soil 25 SSTm Mean long-term sea surface temperature estimated using MODIS Aqua 26 SSTs Mean long-term sea surface temperature estimated using MODIS Aqua (standard deviation) 27 airports World airports type (civilian/military) 28 airroute Estimated density of airline routes 29 anthroms Anthropogenic biomes of the World 30 baresoil Bare soil area coverage based on the MERIS FR images 31 biocl01 Annual Mean Temperature 32 biocl12 Annual Precipitation 33 biocl15 Precipitation Seasonality (Coefficient of Variation) 34 biocl02 Mean Diurnal Range (Mean of monthly (max temp - min temp)) 35 biocl04 Temperature Seasonality (standard deviation *100) 36 biocl05 Max Temperature of Warmest Month 37 biocl06 Min Temperature of Coldest Month 38 burned Burned vegetation for years 2002-2004 39 cforest Closed forests coverage based on the Forest Resources Assessment (FRA) project 40 countries World countries based on GADM level 0 41 dcoast Distance from the sea coast line 42 ecoflor Ecofloristic zones 43 fforest Open or fragmented forests coverage based on the Forest Resources Assessment (FRA) project 44 forestd Global Forest Density based on the Forest Resources Assessment (FRA) project 45 gaccessm Estimated travel time to major cities (>50k) in hours 46 gcarb Global Biomass Carbon Map 47 glc2000 Land Cover classes for year 2000 based on the SPOT VEGA2000 dataset 48 glcrop Cropland areas in 1992 49 globcov Land Cover classes based on the MERIS FR images 50 globedem Global Relief Model based on SRTM 30+ and ETOPO DEM 51 glwd31 Global Lakes and Wetlands 52 gmia Global map of area equipped for irrigation expressed as percentage of total area 53 himpact Areas of human impacts on the Biosphere (roads, railways and settlement density). 54 hwsd Soil groups based on FAO HWSD 55 hwsdmu Soil mapping units and number of soil attributes based on FAO HWSD 56 hydrma Mean annual concentration of hydrogen isotopes in precipitation 57 iflworld The world map of intact forest landscapes 58 landcov Land cover map of the world (1981-1995) based on the AVHRR images 59 landmask Land mask of the world based on the GSHHS data 60 modfires Year of MODIS estimated fire 61 nlights World stable lights 62 oxygma Mean annual concentration of oxygen isotopes in precipitation 63 pcnligh1 PC #1 from the World stable night lights time series 64 pcnligh2 PC #2 from the World stable night lights time series 65 pcpopd1 Long-term population density map (PC1) 66 pcpopd2 Population change index (PC2) 67 peatland Bog, Fen, Mire (Peatland) 68 quakein Kernel density of earthquake intensity (magnitude) 69 rcrops Rainfed croplands coverage based on the MERIS FR images 70 shipping Shipping density (commercial) 71 slope Slope map based on SRTM 30+ and ETOPO DEM 72 soilmask Soil areas mask 73 soiltype KST Global Soil Regions 74 stormtr Density of Tropical Cyclone Storm Tracks (historical) 75 swamp Swamp Forest, Flooded Forest 76 treecov Continuous Fields Tree Cover for 1992-1993 77 wildness World wilderness areas 78 wooded Other wooded land coverage based on the Forest Resources Assessment (FRA) project 79 wwfeco Terrestrial ecoregions The fields of the Image description (*.RDC) file: -------------------------------- file format / digital storage: Digital format of the data; in this case Idrisi raster map or ArcInfo ASCII map. file title: Every variable is denoted by a single name. Unambiguous and descriptive names should be chosen. last update / created: The date when the data set was added for the first time (i.e. the data has been prepared + the template has been approved + the data is actually uploaded). producer: The name(s) of the person(s) who prepared the data and the template. lineage / derivation method: A link (URL) to an R script is provided that shows all processing steps. The script should preferably also include a description of how exactly was the map derived from the source map(s) by aggregation, disaggregation, interpolation, smoothing or reclassification (etc.). Also describe exactly how the missing values and/or strange values in the source data have been removed and corrected. This description should include reference to the software or model that was used for the task. data type: The data type indicates the type of numbers stored in an image. This can be an integer (-32768 -- 32768), byte (0 -- 255) and real data type (-10exp(38) -- 10exp(38)) (see [http://en.wikipedia.org/wiki/Integer_(Computer_science)]). file type: Image files may be stored in ASCII, binary or packed binary formats. Binary files are efficient in both hard disk space utilization and processing time. However, the format is not universal and not always very accessible. The default GDAL format to store raster data is geotiff (see [http://www.gdal.org/frm_gtiff.html]). columns / rows: The number of columns (X) and rows (Y) of an image. measurement scale: One or of the following labels: Nominal/classes, Ordinal, Interval, Log-interval, Ratio, Absolute, Binary, Periodic-Ordinal or Periodic-Interval. The reason for labeling measurement scale is to avoid inadmissible analyses with and transformations to the data. Sometimes more than a single measurement scale is applicable (e.g. the zero values can have multiple meanings and are essential nominal, while the other values can be at an interval scale). description: A few sentences to describe the data for a non-expert. The more understandable the better. This field is intentionally separated from the field 'unit or legend' because that is supposed to more specific details. Where possible the description should be the existing descriptions of the original dataset. If that is for some reason lacking, unclear or incomplete, make a new description. proj4string: The PROJ.4 Cartographic Projection library string defines the parameters of the corresponding coordinate system (see [http://trac.osgeo.org/proj/wiki/GenParams] for more info about the meaning of the parameters). referent coordinate system: The fields defines the name of attached referent coordinate system (file). It can either be left blank (plane) or defined in a separate file, e.g. epsg28992.ref. referent units: Measurement geographical units. Typically only meters and arcdegrees should be used. At 52N latitude, 1 arcsecond (0.0002778 arcdegrees) corresponds to about 25.7 m. unit distance: Scale ratio for geographic distances. mix/max X/Y: Coordinates of the bounding box (outer edge). The width and length of the bounding box and the number of rows and columns should match, after dividing the distances by the resolution. positional error: The positional error indicates how close a feature's actual position is to its mapped position in the image. If known, this field should record the standard RMSE error of locating the features in the map. resolution: The resolution refers to the inherent resolution of the image. Also known as grid cell size or pixel size. Only regular square grids are supported. min/max value: These fields record the actual range of data values set by the producer that occurs in the image cells. Values outside this range should be considered invalid. display min/max values: Recommended values to be used for displaying the maps. Note that in many cases the display range might be narrower than the original range of values. physical (value) units: The physical unit of the variable. A careful description of this field is essential for subsequent ecological interpretations. If the unit is non-trivial (e.g. 'pH of the top-soil'): describe it extensively (there may be overlap with the field 'description' but that does not harm). In the case of periodic data, specify the period-cycle. In the case of dimensionless units - specify the units that were used to calculate the dimensionless quantity (e.g. area coverage of a vegetation in km2/1 km2). In the case of a complex pre-processing technique like dimension reduction by PCA, or the geometric and radiometric corrections for satellite imagery: refer to the source document that describes this analysis. If that document cannot be found, describe the handling as good as possible (in the case of a PCA, it should be the complete PCA-analysis). In the case of ordinal or nominal data use the R term "factor". The legend should specify all units that occur on the map. Each legend-entry should be explained completely and in detail. Note that legend-entries have physical units as well - the different be entries might even have different physical units - so also here the physical units should be specified. value error: This field records the error in the data values and should be recorded where possible. For example, for the DTM map a RMS error of 50 indicates that 68% of all heights have been mapped within 0.5 m of the mapped value. flag value: The value used to mask the missing areas, i.e. the Not Available pixels. flag definition: The flag definition describes the nature of the flagged area. The most common data flags are those used to indicate background cells and missing data cells. source Eng: The original name of the source data in English. source URL: The key URL reference to obtain all information about the source. source refs: A list of references to publications where applications of the source data set(s) are described. References to scientific publications are the most important. Also reports and other non-peer reviewed documents that describe the data can be used. Limit to one or two key references. source resolution / effective scales: The range of resolutions of the original source data, i.e. the effective scale to which it is applicable. If the data is not characterized by a grid resolution but rather a scale (e.g. vector-based topo maps), give the scale. source date: The effective date, i.e. the period to which the data refers to (when the data has been actually acquired). If that date is not known, the date when the data set was obtained. source owner: A full name of the organization that owns, maintains and/or makes the data available. In brackets include the type of licence (or an URL to the licence agreement) as indicated on the website. If the licence agreement is not indicated it means that it is under the Creative Commons Attribution/Share-Alike License [http://creativecommons.org/licenses/by-sa/3.0/]. legend categories: Number of categories in the image. The succeeding legend captions need to match the legend categories number. The same category number is used to identify the appropriate RGB representation for each category in the *.PAL file.