vegtable

Handling vegetation-plot data sets

https://github.com/kamapu/vegtable

Science Score: 46.0%

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Repository

Handling vegetation-plot data sets

Basic Info
Statistics
  • Stars: 7
  • Watchers: 1
  • Forks: 0
  • Open Issues: 18
  • Releases: 8
Created about 10 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog

README.md

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The aim of vegtable is to provide a way for handling databases stored in Turboveg. This package incorporates many concepts and some functions included in the package vegdata but defining an homonymous S4 class containing all elements of a database in just one object. The package vegtable also contains several methods for this object class.

Species lists in vegtable objects are handled by the package taxlist, thus I will recommend to take a look on it.

This package has been developed as a tool handling data stored in SWEA-Dataveg. Further development is running in the context of the project GlobE-wetlands.

An important source of inspiration for vegtable have been the enthusiastic discussions during several versions of the Meetings on Vegetation Databases.

Updating to the last version of vegtable

The very first step is to install the package devtools and dependencies. Then you just need to execute following commands in your R-session:

r library(devtools) install_github("kamapu/vegtable")

Some examples

The current version of vegtable includes an example data, which corresponds to a subset from SWEA-Dataveg. This data set contains plot observations done in Kenya imported from 5 sources.

``` r library(vegtable)

> Loading required package: taxlist

>

> Attaching package: 'taxlist'

> The following objects are masked from 'package:base':

>

> levels, levels<-, print

data(Kenya_veg)

validate and explore

validObject(Kenya_veg)

> [1] TRUE

summary(Kenya_veg)

> ## Metadata

> db_name: Sweadataveg

> sp_list: Easplist

> dictionary: Swea

> object size: 9501 Kb

> validity: TRUE

>

> ## Content

> number of plots: 1946

> plots with records: 1946

> variables in header: 34

> number of relations: 3

>

> ## Taxonomic List

> taxon names: 3164

> taxon concepts: 2392

> validity: TRUE

```

Among others, the object contains plot observations done in the Aberdare National Park (Kenya) by Schmitt (1991). We can make a subset including the plots classified by the mentioned author into the Juniperus procera-Podocarpus latifolius community (IDs 780 to 798).

``` r JPcomm <- subset(Kenya_veg, ReleveID %in% c(780:798)) summary(JPcomm)

> ## Metadata

> db_name: Sweadataveg

> sp_list: Easplist

> dictionary: Swea

> object size: 717.4 Kb

> validity: TRUE

>

> ## Content

> number of plots: 19

> plots with records: 19

> variables in header: 17

> number of relations: 3

>

> ## Taxonomic List

> taxon names: 3164

> taxon concepts: 2392

> validity: TRUE

```

If you have geo-referenced plot observations, you can use the coordinates to produce a map of the distribution of your plots by using the package leaflet.

r library(leaflet) leaflet(JPcomm@header) %>% addTiles() %>% addCircleMarkers( lng = ~LONGITUDE, lat = ~LATITUDE, color = "red", opacity = 0.3, radius = 1 )

Further readings

Owner

  • Name: Miguel Alvarez
  • Login: kamapu
  • Kind: user

Vegetation Ecologist and software developer.

GitHub Events

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Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 263
  • Total Committers: 20
  • Avg Commits per committer: 13.15
  • Development Distribution Score (DDS): 0.445
Past Year
  • Commits: 5
  • Committers: 1
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Miguel Alvarez k****8@g****m 146
Miguel Alvarez m****z@u****e 75
ma ma@m****0 13
m_alvarez m****z@1****3 4
PC 7 P****7@1****9 3
m_alvarez m****z@1****7 3
m_alvarez m****z@1****4 3
m_alvarez m****z@1****1 2
m_alvarez m****z@m****P 2
miguel m****l@m****0 2
m_alvarez m****z@1****0 1
m_alvarez m****z@1****3 1
m_alvarez m****z@1****4 1
m_alvarez m****z@1****2 1
runner r****r@M****l 1
runner r****r@M****l 1
runner r****r@M****l 1
runner r****r@M****l 1
runner r****r@M****l 1
runner r****r@M****l 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 39
  • Total pull requests: 16
  • Average time to close issues: 7 months
  • Average time to close pull requests: 3 days
  • Total issue authors: 3
  • Total pull request authors: 1
  • Average comments per issue: 0.62
  • Average comments per pull request: 0.0
  • Merged pull requests: 16
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 1
  • Average time to close issues: 37 minutes
  • Average time to close pull requests: less than a minute
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • kamapu (37)
  • orb16 (1)
Pull Request Authors
  • kamapu (18)
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 280 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 2
  • Total versions: 9
  • Total maintainers: 1
cran.r-project.org: vegtable

Handling Vegetation Data Sets

  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 2
  • Downloads: 280 Last month
Rankings
Dependent repos count: 19.3%
Stargazers count: 23.6%
Average: 27.7%
Forks count: 27.9%
Dependent packages count: 28.8%
Downloads: 39.2%
Maintainers (1)
Last synced: 7 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • taxlist * depends
  • foreign * imports
  • methods * imports
  • qdapRegex * imports
  • sp * imports
  • stringi * imports
  • vegdata * imports
  • biblio * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • sf * suggests
  • testthat * suggests
  • vegan * suggests
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