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Releases: vmikk/PhyloNext

1.4.2

22 Mar 09:55
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v1.4.2 - [March 22, 2024]

  • Biodiverse container update (4.99_2)

Full Changelog: 1.4.1...1.4.2

1.4.1

30 Jan 13:21
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v1.4.1 - [January 30, 2024]

Container updates.
Full Changelog: 1.4.0...1.4.1

1.4.0

21 Jul 14:51
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v1.4.0 - [July 21, 2023]

  • Added: Estimation of Hurlbert's ES index (a measure of species diversity that accounts for sample size);
  • Changes: The pseudo-abundance of species is now determined by the number of GBIF records per grid cell;
  • Fixed: The Open Tree has implemented significant updates to the API that disrupted existing integrations;

1.3.0

26 May 11:53
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1.3.0 - [May 25, 2023]

  • Biodiverse updated to v4.3
    Biodiverse changelog:
  • Added: maxyear parameter for occurrence filtering based on the upper bound of collection year

1.2.0

21 Apr 06:57
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1.2.0 - [Apr 11, 2023]

  • Added: spatially-constrained randomizations;
  • Added: spatial filtering using user-supplied polygons;
  • Added: CANAPE output in tabular format from Biodiverse;
  • Added: leaflet_canapesuper parameter (for 3-class or 4-class endemism types in CANAPE);
  • Added: geographic coordinates of H3 cells to the output table;
  • Added: leaflet_mapshots script;
  • Changes: previously, the spatial unit was categorical (H3 grid cell); to spatially constrain records, now we use geographic coordinates of grid cells;
  • Changes: record counts, derived dataset, and additional filtering now re-use the same code base;
  • Changes: screen output is less verbose now;
  • Changes: PRNG randomization seeds are explicit now;
  • Fixed: Number of Biodiverse randomizations per thread;
  • Fixed: CANAPE index requirements;
  • Fixed: antimeridian issue in static visualization;
  • Fixed: record counts and derived dataset take polygon-filtering into account;

1.0.0

01 Feb 17:00
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1.0.0 [Jan 27, 2023]

  • First stable release

0.0.2

22 Dec 11:48
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0.0.2 Pre-release
Pre-release

PhyloNext v.0.0.2

0.0.1_prior_refactoring

01 Jun 13:34
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Pre-release

The pipeline works locally, but is not optimized to run in the cloud (e.g., on Azure).