# ETNA

A project for exploring publicly available vegetation and biodiversity data
in the state of Victoria.

## Bioreg.app

[Bioregion Explorer - the app](https://andrewcharles.shinyapps.io/bioreg/)

Explore the large scale biodiversity regions of the state. For more background see 
[Environment Victoria] (https://www.environment.vic.gov.au/biodiversity/bioregions-and-evc-benchmarks)
and [Vic Flora](https://vicflora.rbg.vic.gov.au/pages/bioregions).

Data is converted from the publicly available format using `R/extract_bioreg_data.R`

Data exploration in `bioreg.Rmd`

App deployment: `rsconnect::deployApp(".")`

VBIOREG100 - coarse regions. very large scale.

### Development resources
- Shiny layout: [https://shiny.rstudio.com/articles/layout-guide.html]
- DT tables: [https://yihui.shinyapps.io/DT-rows/]


## Flora.app

VBA_FLORA_25
This is a very high resolution point dataset.
VBA_FLORA_25_1 is similar?

## evc.vic.app

Polygons of ecological vegetation classes.
NV2005 - polygons covering the entire state, with some gaps. Detailed vegetation classes.


## APPENDIX - DATA SPECS
This is a derived dataset that delineates the Bioregional Conservation Status of EVCs. (NV2005_EVCBCS) .

The dataset is derived from a combination of Victorian bioregions (VBIOREG100), Pre 1750 EVCs (NV1750_EVC) and the current version of Native Vegetation Extent (NV2005_EXTENT). Bioregional conservation status and geographic occurrence are applied to unique Bioregion-EVC units.

The dataset underpins the implementation of Victoria's Native Vegetation Management Framework, and the preparation of Regional Vegetation Plans in addition to other biodiversity planning. The dataset requires upgrading when any of the three input datasets change. 
Native Vegetation - Modelled 2005 Ecological Vegetation Classes (with Bioregional Conservation Status) ID : a502df15-7b90-5e96-b1a0-ba29e95558b2
Projection : Geographicals on GDA2020
Buffer : No buffer
File Format : ESRI Shape file
Area : Whole dataset 

Victorian Biodiversity Atlas flora records (unrestricted) for sites with high spatial accuracy ID : 4803b0e0-e312-5371-8e6a-88248e42e17d
Projection : Geographicals on GDA2020
Buffer : No buffer
File Format : ESRI Shape file
Area : Whole dataset 

OGMAP100 = very big forest shapes - some detail around terrain. numbered
Modelled Forest Classes
ID : d1c9b14d-8509-5f62-bef7-b6ba9bbfb36a
Projection : Geographicals on GDA2020
Buffer : No buffer
File Format : ESRI Shape file
Area : Whole dataset 

TERN land cover Datasets
Selected sites - point data. Points seem a bit random?

## RESOURCES

https://r-spatial.org/book/sp-raster.html


GIT SETUP
=========
https://atornblad.se/use-a-different-user-account-for-each-git-repo#:~:text=When%20you%20find%20yourself%20in,and%20for%20your%20personal%20projects.

git remote add origin [email protected]:andrewcharles/etna.git
git config --local user.name 'ac'
git config --local user.email '[email protected]'
cat ~/.ssh/id_rsa_gitbash.pub
git config --local core.sshcommand 'ssh -i ~/.ssh/id_rsa_gitbash -F /dev/null'
git push --set-upstream origin master
ssh-add ~/.ssh/id_rsa_gitbash