Species distribution modelling for conservation planning in Victoria of Australia

MODSIM 2011 - 19th International Congress on Modelling and Simulation - Sustaining Our Future: Understanding and Living with Uncertainty

Volumn , Issue , 2011, Pages 2247-2253

  Liu, C ^a   White, M ^a   Newell, G ^a   Griffioen, P ^b  

^a ARTHUR RYLAH INSTITUTE FOR ENVIRONMENTAL RESEARCH   (Australia)

^b Peter Griffioen Consulting   (Australia)

Author keywords

Evaluation; Prediction; Presence only; Random forest; Species distribution modelling

Indexed keywords

ACCURACY MEASURES; AUSTRALIA; CONSERVATION PLANNING; CONTINUOUS MODELS; CRITICAL INFORMATION; EASTERN AUSTRALIA; ENVIRONMENTAL VARIABLES; EVALUATING MODELS; EVALUATION; EXPLANATORY VARIABLES; FIRE FREQUENCIES; GIS DATA; HABITAT LOSS; INVASIVE SPECIES; LAND USE PATTERN; LANDSAT IMAGERY; LIFT CURVES; MAHALANOBIS DISTANCE METHOD; MANAGEMENT TASKS; MODEL COMPARISON; MODEL-BASED OPC; NATURAL ECOSYSTEM; POINT DATA; PRESENCE-ONLY; PRESENCE/ABSENCE; RANDOM FORESTS; RANDOM POINTS; SENSITIVITY AND SPECIFICITY; SPECIES DISTRIBUTION MODELLING; SPECIES DISTRIBUTION MODELS; STATISTICAL COMPUTING; TRUE POSITIVE RATES; VICTORIA , AUSTRALIA;

ANIMALS; BIODIVERSITY; CONSERVATION; DATABASE SYSTEMS; DECISION TREES; FORECASTING; FORESTRY; GEOLOGIC MODELS; LEARNING ALGORITHMS; LEARNING SYSTEMS; REMOTE SENSING; SUSTAINABLE DEVELOPMENT; UNCERTAINTY ANALYSIS;

POPULATION DISTRIBUTION;

ANIMALS; BIOLOGICAL POPULATIONS; DATA BASES; DECISION THEORY; FORECASTS; INFORMATION SYSTEMS; MATHEMATICAL MODELS; REMOTE SENSING; SPECIES IDENTIFICATION; SUSTAINABLE FOREST MANAGEMENT; VICTORIA;

EID: 84863370418     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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