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nsw.gov.au/dataset/koala-habitat-suitability-model-for-north-east-nsw"
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nsw.gov.au/dataset/koala-habitat-suitability-model-for-north-east-nsw"
            
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  "license_id": "cc-by",
            
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  "license_title": "Creative Commons Attribution",
            
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  "name": "koala-habitat-suitability-model-for-north-east-nsw",
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  "name": "koala-habitat-suitability-model-for-north-east-nsw",
            
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  "notes": "A habitat suitability model at a 250 m resolution for the 
27
  "notes": "A habitat suitability model at a 250 m resolution for the 
            
28
Koala Phascolarctos cinereus in north-eastern New South Wales using 
28
Koala Phascolarctos cinereus in north-eastern New South Wales using 
            
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\u2018presence only\u2019 records and MaxEnt modelling. Model extent 
29
\u2018presence only\u2019 records and MaxEnt modelling. Model extent 
            
30
was based on the extent of Crafti vegetation mapping for north east 
30
was based on the extent of Crafti vegetation mapping for north east 
            
31
NSW. Substantial spatial clustering of records in coastal urban areas 
31
NSW. Substantial spatial clustering of records in coastal urban areas 
            
32
was reduced using a 2 km spatial filter and by modelling separately 
32
was reduced using a 2 km spatial filter and by modelling separately 
            
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two sub-regions divided by the 500 m elevation contour. An average of 
33
two sub-regions divided by the 500 m elevation contour. An average of 
            
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1086 occurrence records was used to develop models. A bias file was 
34
1086 occurrence records was used to develop models. A bias file was 
            
35
prepared that accounted for variable survey effort, including the 
35
prepared that accounted for variable survey effort, including the 
            
36
concentration of Koala records along sealed and unsealed roads. A 
36
concentration of Koala records along sealed and unsealed roads. A 
            
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reduced set of 14 variables was used in model building. The models 
37
reduced set of 14 variables was used in model building. The models 
            
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were evaluated using a test set of 25 % of the records, with a 
38
were evaluated using a test set of 25 % of the records, with a 
            
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resulting good fit for each model, as measured by AUC. Frequency of 
39
resulting good fit for each model, as measured by AUC. Frequency of 
            
40
wildfire, Australian Soil Classification, floristic mapping and 
40
wildfire, Australian Soil Classification, floristic mapping and 
            
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elevation had the highest relative contribution to the model, whilst a 
41
elevation had the highest relative contribution to the model, whilst a 
            
42
number of other variables made minor contributions. The model was 
42
number of other variables made minor contributions. The model was 
            
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field validated at 65 ground-truth sites.",
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field validated at 65 ground-truth sites.",
            
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    "approval_status": "approved",
            
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    "created": "2018-06-15T18:51:39.525982",
            
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    "description": "EPA is the primary environmental regulator for New 
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    "description": "EPA is the primary environmental regulator for New 
            
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South Wales. Its purpose is to improve environmental performance and 
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South Wales. Its purpose is to improve environmental performance and 
            
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waste management\r\n\r\nEPA works with the community, business, 
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waste management\r\n\r\nEPA works with the community, business, 
            
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industry and government to maintain a balance between protecting the 
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industry and government to maintain a balance between protecting the 
            
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environment, managing competing demands on the environment and 
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environment, managing competing demands on the environment and 
            
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supporting sustainable growth.\r\n\r\nEPA provides information and 
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supporting sustainable growth.\r\n\r\nEPA provides information and 
            
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guidance about a broad range of environmental issues and activities. 
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guidance about a broad range of environmental issues and activities. 
            
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It engages with the community and uses social research to inform 
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It engages with the community and uses social research to inform 
            
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priorities, policies and programs. It publishes scientific research 
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priorities, policies and programs. It publishes scientific research 
            
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and monitors trends in the state of the environment, and offers advice 
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and monitors trends in the state of the environment, and offers advice 
            
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and incentives to help business and industry improve their 
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and incentives to help business and industry improve their 
            
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environmental performance.\r\n\r\nSee: http://www.epa.nsw.gov.au\r\n",
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environmental performance.\r\n\r\nSee: http://www.epa.nsw.gov.au\r\n",
            
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