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Species distribution data from museum collections data and observation networks are quickly becoming available on the web. In the framework of a collaboration between Kew Gardens and the European project ViBRANT, we have designed and implemented GeoCAT, an open source, browser based tool that performs rapid geospatial analysis to facilitate the process of Red Listing taxa. GeoCAT enables user to quickly and easily combine data from natural history collections published to the GBIF network, observations posted to Flickr and Scratchpads, as well as new sources uploaded by the user. Analyses are run instantly in the web-browser and a complete record of the process are stored in a GeoCAT file that can be reloaded, shared and published. GeoCAT is built using the latest web-technologies based in Javascript and HTML5. The result in a responsive and intuitive environment for web-based GIS and conservation analysis algorithms. Algorithms for measuring species threat are implemented directly in the browser, avoiding any need to move data to desktop applications or to send the data for server-side processing. The GeoCAT file format streamlines the process of restarting or publishing the information for a project by encoding all data, including algorithm parameters, outputs, and application state, into a web syntax called JSON. The application relies heavily on consistent data standards, where the data received will be in a predictable format. For example, GBIF provides a REST API where data can be queried and downloaded, the data standards are encoded in their web-services documentation, http://data.gbif.org/ws/. GeoCAT was developed as an open source tool. This means that the methods and contributions of the code itself can help inform the informatics community in the future. Open source also aids in the transparency of decision making, by allowing anyone to see and audit algorithms. The code is accessible to anyone from the project’s Github repository (https://github.com/Vizzuality/GeoCAT). We hope to see GeoCAT enhance the ease, speed and accuracy of Red List assessments and also allow natural history collections to when their data was involved in Red List assessments by storing all information in the GeoCAT file. The tool represents a first step toward bringing species risk assessment to the web and providing the basis for standards we may use for sharing the information and methods behind Red List assessments.
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Javier de la TorreVizzuality
@jatorre
Supporting red list threat assessments with GeoCATGeospatial Conservation Assessment Tool
_Around 60K assesments, 28K spatial
MammalsAmphibiansCoralsBirds....
Very little plants
_The IUCN ProcessIUCN Red List process species should be assessed against 5 criteria relating to different aspects of extinction risk
declining population, small population size, restricted geographic range...
_The IUCN ProcessIUCN Red List process species should be assessed against 5 criteria relating to different aspects of extinction risk
declining population, small population size, restricted geographic range...
_Geospatial analysisEOO and AOO. Quite controversial, but thats whatwe have.
EOO is a measure of the geographic range size of a species
AOO is a measure of the area in which a species occurs
_geospatial analysis beforeProprietary ESRI softwareTransformation of data before analysisNo way to reconstruct the analysis that was done
_we wantFree Open Source softwareCustomized for Biodiversity InformaticsMake the analysis on the web and make them sharable
Be able to see and recreate the analysis
DownloadData
_Introducing GeoCATGeospatial Conservation Analysis Tool
video
_.geocat formatSerialization of the whole appStandarization?
_What is coming?Cloud service through CartoDBIntegration on Scratchpads (ViBRANT) via DWC-AIntegration on the Red List Website
Real time collaborationHandling millions of records
_CartoDB demo“Extra” session tomorrow Tuesday 18th
_Who is using it?More popular than Facebook
We know people are using it in Malaysia, Madagascar, China, USA. Many Kew staff are using it e.g. Aaron Davis – assessing species of Coffea in Madagascar and for assessments of snowdrops (Galanthus) in Europe.
Sub Domain - rlat geocatMap Overlay 1 Sep 2011 - 30 Sep 2011
Comparing to: Site
Visits1 98
366 visits came from 47 countries/territories
Visits366% of Site Total: 100.00%
Pages/Visit2.26Site Avg: 2.26 (0.00%)
Avg. Time on Site00:02:43Site Avg: 00:02:43 (0.00%)
% New Visits63.93%Site Avg: 63.93% (0.00%)
Bounce Rate40.98%Site Avg: 40.98% (0.00%)
Country/Territory Visits Pages/Visit Avg. Time onSite
% New Visits Bounce Rate
United States 98 2.01 00:02:17 86.73% 40.82%
United Kingdom 78 2.13 00:02:23 29.49% 25.64%
Spain 27 1.93 00:01:23 81.48% 51.85%
Madagascar 16 3.81 00:10:07 6.25% 37.50%
France 14 2.57 00:02:47 78.57% 57.14%
Germany 12 1.33 00:01:50 33.33% 75.00%
Canada 11 2.18 00:01:10 90.91% 27.27%
Venezuela 9 1.00 00:00:00 0.00% 100.00%
Ukraine 9 8.56 00:19:43 22.22% 11.11%
Chile 8 2.12 00:02:31 62.50% 37.50%
1 - 10 of 47
1 Google Analytics
Sub Domain - rlat geocatMap Overlay 1 Sep 2011 - 30 Sep 2011
Comparing to: Site
366 visits came from 47 countries/territoriesSite Usage
Visits366% of Site Total: 100.00%
Pages/Visit2.26Site Avg: 2.26 (0.00%)
Avg. Time on Site00:02:43Site Avg: 00:02:43 (0.00%)
% New Visits63.93%Site Avg: 63.93% (0.00%)
Bounce Rate40.98%Site Avg: 40.98% (0.00%)
Country/Territory Visits Pages/Visit Avg. Time onSite
% New Visits Bounce Rate
United States 98 2.01 00:02:17 86.73% 40.82%
United Kingdom 78 2.13 00:02:23 29.49% 25.64%
Spain 27 1.93 00:01:23 81.48% 51.85%
Madagascar 16 3.81 00:10:07 6.25% 37.50%
France 14 2.57 00:02:47 78.57% 57.14%
Germany 12 1.33 00:01:50 33.33% 75.00%
Canada 11 2.18 00:01:10 90.91% 27.27%
Venezuela 9 1.00 00:00:00 0.00% 100.00%
Ukraine 9 8.56 00:19:43 22.22% 11.11%
Chile 8 2.12 00:02:31 62.50% 37.50%
1 - 10 of 47
1 Google Analytics
_Who is behind it?Join effort of ViBRANT, Kew Gardens and IUCN
Thank you!Javier de la Torre@jatorre
Vizzuality148 Lafayette St. PH, New York, 10013,USA+1 347 320 7715+34 689 41 4420www.vizzuality.com@vizzuality
