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Sphere_ARC_INFO_Mollweide
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CopyRaster C:\Users\osgurm\Downloads\Mountains_and_Forests_in_Mountains_2000\mountains_posters_2000\mtn_00m C:\Users\osgurm\Documents\ArcGIS\Projects\Data_Mgmt\Internal_Geodatabase.sde\arcgis_geodatabase.sde.mtn_00m # # -32768 NONE NONE # NONE NONE "Esri Grid format" NONE CURRENT_SLICE NO_TRANSPOSE
\\wcmc-data-01.internal.wcmc\gis\SpatialAnalysisUnit\Datasets-May2006\mountains_posters_2000\mtn_00m
UNEP-WCMC
2000
Mountains of the World 2000
mtn_00m
raster digital data
Microsoft Windows Vista Version 6.1 (Build 7600) ; ESRI ArcCatalog 9.3.1.3000
en
To produce this map, topographical data from the GTOPO30 global digital elevation model (USGS EROS Data Center 1996) were used to generate slope and local (5km radius) elevation range on a 30 arc-second grid of the world. These parameters were combined with elevation to arrive at the empirically derived definitions of the six mountain classes displayed on this map. (A spatial filter was applied to classify isolated individual 'non-mountain' grid cells in mountain areas according to the predominant class of their immediate neighbours.) The global mountain area thus defined totals 35.8 million km2, or 24% of the Earth's land surface.
To provide a global context for a discussion of mountain forests, it is first necessary to define the locations and types of mountain forests, and this in turn requires a definition of mountains or mountain areas. Altitude and slope and the environmental gradients they generate are key components of such a definition, but their combination is problematic. Simple altitude thresholds both exclude older and lower mountain systems and include areas of relatively high elevation that have little topographic relief and few environmental gradients. Using slope as a criterion on its own or in combination with altitude can resolve the latter problem, but not the former.
Sources: Mountains derived from U.S. Geological Survey National Mapping Division, EROS Data Center (EDC) (1996) GTOPO30.
The basis on which the time period of content information is determined.
The year (and optionally month, or month and day) for which the data set corresponds to the ground.
None planned
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90.000000
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18020000.000000
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9010000.000000
Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.
mountains
global
dem
gtopo30
elevation
Downloadable via the UNEP-WCMC website.
1) Adhere to terms and conditions of access, 2) acknowledge the source appropriately, 3) do not re-distribute part or all of data without contacting UNEP-WCMC.
Raster Dataset
Dataset copied.
D:\mountains_final\poster\ponmtncr4z
20110913
17500200
en
FGDC Content Standards for Digital Geospatial Metadata
FGDC-STD-001-1998
local time
The person responsible for the metadata information.
The organization responsible for the metadata information.
The mailing and/or physical address for the organization or individual.
The city of the address.
The state or province of the address.
The ZIP or other postal code of the address.
The telephone number by which individuals can speak to the organization or individual.
20110914
http://www.esri.com/metadata/esriprof80.html
ESRI Metadata Profile
Downloadable Data
33.048
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mailing and physical address
219 Huntingdon Road
Cambridge
Cambridgeshire
CB0DL
UK
+44(0)1223 277314
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row and column
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infinity
mtn_00m.vat
Table
887
Rowid
Rowid
OID
4
0
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
VALUE
VALUE
Integer
4
0
0
COUNT
COUNT
Integer
4
0
0
DCW_POPY2
DCW_POPY2
String
2
0
0
MTNCLASS
MTNCLASS
Double
16
16
0
ANALREG2
ANALREG2
String
3
0
0
MTNDESC
MTNDESC
String
255
0
0
ISO3
ISO3
String
3
0
0
The person responsible for the metadata information.
The organization responsible for the metadata information.
The telephone number by which individuals can speak to the organization or individual.
The city of the address.
The state or province of the address.
The ZIP or other postal code of the address.
20110914
ArcGIS Metadata
1.0
UNEP-WCMC
+44(0)1223 277314
219 Huntingdon Road
Cambridge
Cambridgeshire
CB0DL
UK
\\wcmc-data-01.internal.wcmc\gis\SpatialAnalysisUnit\Datasets-May2006\mountains_posters_2000\mtn_00m
Raster Dataset
mtn_00m
2000
UNEP-WCMC
raster digital data
To produce this map, topographical data from the GTOPO30 global digital elevation model (USGS EROS Data Center 1996) were used to generate slope and local (5km radius) elevation range on a 30 arc-second grid of the world. These parameters were combined with elevation to arrive at the empirically derived definitions of the six mountain classes displayed on this map. (A spatial filter was applied to classify isolated individual 'non-mountain' grid cells in mountain areas according to the predominant class of their immediate neighbours.) The global mountain area thus defined totals 35.8 million km2, or 24% of the Earth's land surface.
To provide a global context for a discussion of mountain forests, it is first necessary to define the locations and types of mountain forests, and this in turn...
mountains
global
dem
gtopo30
elevation
Reference to a formally registered thesaurus or a similar authoritative source of theme keywords.
mountains
global
dem
gtopo30
elevation
1) Adhere to terms and conditions of access, 2) acknowledge the source appropriately, 3) do not re-distribute part or all of data without contacting UNEP-WCMC.
Downloadable via the UNEP-WCMC website.
Microsoft Windows Vista Version 6.1 (Build 7600) ; ESRI ArcCatalog 9.3.1.3000
true
-180.000000
180.000000
90.000000
-90.000000
The basis on which the time period of content information is determined.
Sources: Mountains derived from U.S. Geological Survey National Mapping Division, EROS Data Center (EDC) (1996) GTOPO30.
1
-180.000000
180.000000
90.000000
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0.000000 0.000000
dataset
mtn_00m
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