Data:Global Cropland Area (1960-2100): Difference between revisions

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{{Data description
{{Data description
|One-line data description=Global Cropland Area predictions by the GLDUM model
|One-line data description=Global Cropland Area predictions by the GLUDM model
|Extended data description=An output of the Global Land Use Dynamics Model (GLUDM). Spatially explicit global estimates of cropland area between 1960-2099. Yearly time steps in individual NetCDF files.
|Extended data description=An output of the Global Land Use Dynamics Model (GLUDM). Spatially explicit global estimates of cropland area between 1960-2099. Yearly time steps in individual NetCDF files.


The GLDUM is based on pixel-specific regression between historic land use changes and global population. Land use expansion and abandonment is governed by environmental and land use restrictions (e.g altitude and urbanization).
The GLUDM is based on pixel-specific regression between historic land use changes and global population. Land use expansion and abandonment is governed by environmental and land use restrictions (e.g altitude and urbanization).


Fro more detailes see:
Fro more detailes see:


Haney, N., Cohen, S. (2015), Predicting 21st century global agricultural land use with a spatially and temporally explicit regression-based model. Applied Geography, 62: 366-376.  doi:10.1016/j.apgeog.2015.05.010
Haney, N., Cohen, S. (2015), Predicting 21st century global agricultural land use with a spatially and temporally explicit regression-based model. Applied Geography, 62: 366-376.  doi:10.1016/j.apgeog.2015.05.010
|Upload image dataset=Figure8.pdf
|Upload image dataset=GLUDM predictions
|Caption dataset image=Maps of GLDUM-predicted cropland area (Figure 8 in Haney and Cohen 2015)
|Caption dataset image=Maps of GLUDM-predicted cropland area (Figure 8 in Haney and Cohen 2015)
}}
}}
{{Data format
{{Data format
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|Data download link=http://sdml.ua.edu/datasets-2/
|Data download link=http://sdml.ua.edu/datasets-2/
|Data source link=http://sdml.ua.edu/datasets-2/
|Data source link=http://sdml.ua.edu/datasets-2/
}}
{{Data references
|Key references dataset=Haney, N., Cohen, S. (2015), Predicting 21st century global agricultural land use with a spatially and temporally explicit regression-based model. Applied Geography, 62: 366-376.  doi:10.1016/j.apgeog.2015.05.010
}}
}}

Revision as of 09:02, 7 July 2015

Global Cropland Area (1960-2100) dataset information page



Short Description

File:GLUDM predictions
Maps of GLUDM-predicted cropland area (Figure 8 in Haney and Cohen 2015)

Statement: Global Cropland Area predictions by the GLUDM model

Abstract: An output of the Global Land Use Dynamics Model (GLUDM). Spatially explicit global estimates of cropland area between 1960-2099. Yearly time steps in individual NetCDF files.

The GLUDM is based on pixel-specific regression between historic land use changes and global population. Land use expansion and abandonment is governed by environmental and land use restrictions (e.g altitude and urbanization).

Fro more detailes see:

Haney, N., Cohen, S. (2015), Predicting 21st century global agricultural land use with a spatially and temporally explicit regression-based model. Applied Geography, 62: 366-376. doi:10.1016/j.apgeog.2015.05.010

Data format

Data type: Land Cover
Data origin: Modeled
Data format: NetCDF
Other format:
Data resolution: 0.1 arc-min
Datum: lat-long

Data Coverage

Spatial data coverage: Global
Temporal data coverage: Time series
Time period covered: 1960-2099

Availability

Download data: http://sdml.ua.edu/datasets-2/
Data source: http://sdml.ua.edu/datasets-2/

References

  • Haney, N., Cohen, S. (2015), Predicting 21st century global agricultural land use with a spatially and temporally explicit regression-based model. Applied Geography, 62: 366-376. doi:10.1016/j.apgeog.2015.05.010
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