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Releases: luisangelbg/BioModellingPro

BioModelling Pro 1.1.1

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@luisangelbg luisangelbg released this 23 Sep 17:38

Wording only.

Everywhere the climate layers are explained — NOTICE.md, the README, the Spanish readme, datos/LEE-ME.md and the manual — the text now states the condition itself: WorldClim data may not be redistributed without prior permission, and the program therefore ships none. Nothing else changed, in the analysis or anywhere else.

BioModelling Pro 1.1.0

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@luisangelbg luisangelbg released this 23 Sep 17:26

No WorldClim data travels with the program any more. Their terms of use do not allow it to be redistributed without prior permission, so js/example-rasters.js (3.7 MB) — the subset cropped to Mexico that the bundled example used — was removed.

Nothing of the analysis changed. What changed is where the layers come from:

  • You download them once — datos/LEE-ME.md says how, and 10 arc-minutes is enough to learn — and step 5 reads them from wherever you keep them with the folder picker or the file picker, both of which work from a double click.
  • The third button is now «Use the layers in datos/»: it reads the program's own folder, which needs the local server, and when that folder has nothing it explains where to get the layers instead of failing.
  • Köppen-Geiger stays bundled, because CC BY 4.0 allows it, so that is one download less.
  • The example records still travel with the program, so step 1 keeps working from a double click.

The code keeps a back door: anyone who wants the double-click example on their own machine can build their own js/example-rasters.js from the layers they downloaded, and the program will read it.

NOTICE.md, the README, the Spanish readme, datos/LEE-ME.md and the manual (sections I.5, 5.2, 9.2 and appendix F) say all of this; the screenshot of step 5 was taken again and the manual reprinted (92 pages).

BioModelling Pro 1.0.2

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@luisangelbg luisangelbg released this 23 Sep 16:15

Documentation and licensing hygiene. Nothing changed in the analysis.

  • New NOTICE.md: what belongs to the authors and what belongs to someone else, source by source, for both code and data, with the terms of each one and whether it is redistributed here.
  • The global WorldClim layers are no longer in the repository. Their terms allow academic and other non-commercial use but not redistribution without prior permission, so datos/worldclim/ now ships empty and datos/LEE-ME.md says how to download the layers.
  • The cropped subset of the bundled example stays — it is what makes the program work from a double click — flagged as WorldClim material, not covered by the GPL, and separable: deleting js/example-rasters.js leaves the program complete.
  • New datos/GBIF-FUENTES.md: the 70 institutions and 91 datasets that published the 2,400 records of the example, with how many records each one contributed and how to cite them.
  • The Köppen-Geiger layer, which is CC BY 4.0, keeps travelling with the program, now with its attribution stated.
  • The licence sections of the README and the Spanish readme, the third-party notices and appendix F of the manual (now with a table of the data sources) say all of this too.

BioModelling Pro 1.0.1

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@luisangelbg luisangelbg released this 23 Sep 02:06

Documentation only: nothing changed in the analysis.

BioModelling Pro is now archived in Zenodo, so the citation carries its DOI. The concept DOI 10.5281/zenodo.22907825 — which always resolves to the latest version — was added to the README, the Spanish readme, CITATION.cff, codemeta.json, the app's own "How to cite" section (APA and BibTeX) and the credits page of the user manual, which was joined and printed again (92 pages).

Version 1.0.0 keeps its own DOI, 10.5281/zenodo.22907826.

BioModelling Pro 1.0.0

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@luisangelbg luisangelbg released this 23 Sep 01:56

First archived release of BioModelling Pro, a self-contained web application for biogeography and species distribution modelling that runs entirely in the browser, with no installation and no server-side computation.

Ten steps, from occurrence records to the map: GBIF and your own records (with a country filter for Mexico, Central and South America), taxonomic and geographic filters including the 32 states of Mexico, nine coordinate-cleaning rules, a map studio with export to PNG, JPEG, WebP, SVG, TIFF and GeoTIFF, environmental variables (bioclimatic, elevation, Koeppen-Geiger and soil), correlation and collinearity diagnostics, descriptive statistics with an editable figure studio, multivariate analysis, ecology and diversity, species distribution modelling with ten algorithms and an ensemble (spatial blocks, AUC, TSS, Boyce, thresholds, response curves, future projections with MESS), and agroclimatic crop adaptation.

Interpretation help in steps 6 to 10: 97 cards stating what each value measures, how it is read, on which scale, the mistake most often made with it and the reference it comes from.

Bilingual interface (Spanish and English) with light and dark themes. Works from a double click on index.html: the Pinus cembroides example (2,400 GBIF records and cropped WorldClim and Koeppen-Geiger layers) is bundled, and so are Leaflet, geotiff.js and html2canvas with their licences.

A complete user manual in Spanish (92 pages) is included in manual/.

Licence: GPL-3.0-or-later.