GCAM-CA

A cellular automata based method to spatio-temporally discrete land use and land cover sequence data under the integrated assessment framework of GCAM

Computable Model Model Service Package
  293

Contributor

contributed at 2019-06-17

Authorship

Affiliation:  
NanJing Normal University

Resource

MDL

Style landuse model
Categories GCAM-CA / GCAM-CA
Language EN_US
Name GCAM-CA
Keywords Cellular automata,Spatio-temporally discrete,land use and land cover change
Abstract A cellular automata based method to spatio- temporally discrete land use and land cover sequence data under the integrated assessment framework of GCAM.
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Type Property Value
HardwareConfigures memory size [0.5G,infinite)
cpu core numble [2, infinite)
disk avail size [50GB,infinite)
cpu frequency [2.2GHz,infinite)
SoftwareConfigures Microsoft Visual C++ 2010 10
Operation System win 6||win 7||win 8||win 10|| win xp
Python 2.7+
SupportiveResources library GDAL
library numpy
library matplotlib
library sklaern

Detailed Description

A cellular automata based method to spatio-temporally discrete land use and land cover sequence data under the integrated assessment framework of GCAM

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Contributor

contributed at 2019-06-17

Authorship

Affiliation:  
NanJing Normal University

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