Difference between revisions of "Orangutan layers"

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[[Spatial Layers]] > [[Orangutan layers]]
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<html>
 
<html>
 
   <head>
 
   <head>
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     <script>
 
     <script>
 
       // GEOJSON FILES  
 
       // GEOJSON FILES  
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       var orangutan2 = 'files/orangutans/PHVA_SOA_metapop.geojson';
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       var borneanou2019 = '../files/orangutans/PHVA_SOA_metapop.geojson';
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       // Create map  
 
       // Create map  
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       // Set style function that sets fill color property
 
       // Set style function that sets fill color property
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       function styleorangutan2(feature) { return { fillColor: '#F31818', fillOpacity: 0.7,  weight: 2, opacity: 0.7, color: '#F31818', dashArray: '3' }; }  
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       function styleborneanou2019(feature) { return { fillColor: '#790FC5', fillOpacity: 0.7,  weight: 4, opacity: 0.5, color: '#790FC5', dashArray: '3' }; }  
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      // Null variable that will hold layer
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      var borneanou2019Layer = L.geoJson(null, {onEachFeature: forEachFeature, style: styleborneanou2019});
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       // Null variable that will hold layer
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       $.getJSON(borneanou2019, function(data) { borneanou2019Layer.addData(data);}); borneanou2019Layer.addTo(map);
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      var orangutan2Layer = L.geoJson(null, {onEachFeature: forEachFeature, style: styleorangutan2});
 
  
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      $.getJSON(orangutan2, function(data) { orangutan2Layer.addData(data);}); orangutan2Layer.addTo(map);
 
 
       // for Layer Control
 
       // for Layer Control
 
       var baseMaps = {
 
       var baseMaps = {
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       var overlayMaps = {
 
       var overlayMaps = {
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         "Bornean orangutan 2019": orangutan2Layer,
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         "Bornean orangutan 2019": borneanou2019Layer,
 
       };                    
 
       };                    
  
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{|border="1" cellpadding="5" cellspacing="0" <!-- align="right" --> class="gibbon_ranges" !style="background-color:#ccffcc;"  
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{|border="1" cellpadding="5" cellspacing="0", class="orangutan_layers" !style="background-color:#ccffcc;"  
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|+'''Download available layers. Source: IUCN '''
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|+'''Available orangutan layers'''
 
!Species
 
!Species
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!Shapefile
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!Original data
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!GeoJSON
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!Year
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!Description
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!Source
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|-
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|Bornean orangutans
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|Shapefile
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|2019
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|The layer is an update of the original [https://www.cell.com/current-biology/fulltext/S0960-9822(18)30086-1?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0960982218300861%3Fshowall%3Dtrue Voigt et al.2018] layer predicting the Bornean orangutan density distribution. In 2021 Voigt & Wich provided an update of the initial predictions, based on forest lost in Borneo. This new layer does not consider hunting in the predictions and hence might have overestimated the numbers of orangutans.
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|Voigt & Wich 2021
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|-
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|Sumatran orangutans
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|Shapefile
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|2015
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|Predictive density distribution model for the entire Sumatran orangutan geographic range based on available orangutan presence localities and land land-cover change.
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|[https://www.science.org/doi/10.1126/sciadv.1500789 Wich, S. A., Singleton, I., Nowak, M. G., Utami Atmoko, S. S., Nisam, G., Arif, S. M., ... & Kühl, H. S. (2016). Land-cover changes predict steep declines for the Sumatran orangutan (Pongo abelii). Science advances, 2(3), e1500789.]
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|-
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|Tapanuli and Sumatran orangutans
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|Shapefile
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|2020
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|Predicted density distribution of Tapanuli and Sumatran orangutans.
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|Wich et al. 2020
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|-
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|Bornean orangutans
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|Shapefile
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|1999-2015
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|Predictive density distribution model for the entire Bornean orangutan geographic range based on available orangutan surveys and climatic, habitat and threat predictors.
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|[https://doi.org/10.1016/j.cub.2018.01.053 Voigt, M., Wich, S. A., Ancrenaz, M., Meijaard, E., Abram, N., Banes, G. L., ... & Llano Sanchez, K. Global demand for natural resources eliminated more than 100,000 Bornean orangutans http://researchonline. ljmu. ac. uk/id/eprint/7886.]
 
|-
 
|-
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|}

Latest revision as of 06:34, 15 June 2022

Spatial Layers > Orangutan layers


Available orangutan layers
Species Original data Year Description Source
Bornean orangutans Shapefile 2019 The layer is an update of the original Voigt et al.2018 layer predicting the Bornean orangutan density distribution. In 2021 Voigt & Wich provided an update of the initial predictions, based on forest lost in Borneo. This new layer does not consider hunting in the predictions and hence might have overestimated the numbers of orangutans. Voigt & Wich 2021
Sumatran orangutans Shapefile 2015 Predictive density distribution model for the entire Sumatran orangutan geographic range based on available orangutan presence localities and land land-cover change. Wich, S. A., Singleton, I., Nowak, M. G., Utami Atmoko, S. S., Nisam, G., Arif, S. M., ... & Kühl, H. S. (2016). Land-cover changes predict steep declines for the Sumatran orangutan (Pongo abelii). Science advances, 2(3), e1500789.
Tapanuli and Sumatran orangutans Shapefile 2020 Predicted density distribution of Tapanuli and Sumatran orangutans. Wich et al. 2020
Bornean orangutans Shapefile 1999-2015 Predictive density distribution model for the entire Bornean orangutan geographic range based on available orangutan surveys and climatic, habitat and threat predictors. Voigt, M., Wich, S. A., Ancrenaz, M., Meijaard, E., Abram, N., Banes, G. L., ... & Llano Sanchez, K. Global demand for natural resources eliminated more than 100,000 Bornean orangutans http://researchonline. ljmu. ac. uk/id/eprint/7886.
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