GLOBE: Analytics for assessing global representativeness

Proceedings - 5th International Conference on Computing for Geospatial Research and Application, COM.Geo 2014

Volumn , Issue , 2014, Pages 25-32

  Schmill, Matthew D ^a   Gordon, Lindsey M ^a   Magliocca, Nicholas R ^b   Ellis, Erle C ^b   Oates, Tim ^b  

^a University of Marylandw Baltimore County   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

applications; geographic representativeness; land change science; meta studies; sampling bias

Indexed keywords

APPLICATIONS; COMPUTER PROGRAMMING;

CASE-STUDIES; GEOGRAPHIC REPRESENTATIVENESS; GLOBAL CHANGE; GLOBAL PATTERNS; LAND CHANGES; META ANALYSIS; META-STUDY; SAMPLING BIAS;

COMPUTER SCIENCE;

EID: 84908606900     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COM.Geo.2014.21     Document Type: Conference Paper

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