Predicting 21st century global agricultural land use with a spatially and temporally explicit regression-based model

Applied Geography

Volumn 62, Issue , 2015, Pages 366-376

  Haney, Nicholas ^a   Cohen, Sagy ^a  

^a UNIVERSITY OF ALABAMA   (United States)

Author keywords

Agriculture; Cropland; Global; GLUDM; Land use; Model

Indexed keywords

AGRICULTURAL LAND; CLIMATE CONDITIONS; LAND COVER; LAND USE CHANGE; MODELING; PREDICTION; SPATIOTEMPORAL ANALYSIS; TWENTY FIRST CENTURY;

EID: 84930643846     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2015.05.010     Document Type: Article

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