Data

Tools

Indexes

Applications

Experiments

Open Source Science

knfi

Analysis of Korean National Forest Inventory in R

https://github.com/syoung9836/knfi

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (17.8%) to scientific vocabulary

Keywords

data-analysis-r forestry r
Last synced: 6 months ago · JSON representation

Repository

Analysis of Korean National Forest Inventory in R

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Topics
data-analysis-r forestry r
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog

README.md

alt text knfi: Analysis of Korean National Forest Inventory Database

cran version rstudio mirror downloads

Overview

Understanding the current status of forest resources is essential for monitoring changes in forest ecosystems and generating related statistics. In South Korea, the National Forest Inventory (NFI) surveys over 4,500 sample plots nationwide every five years and records 70 items, including forest stand, forest resource, and forest vegetation surveys. Many researchers use NFI as the primary data for research, such as biomass estimation or analyzing the importance value of each species over time and space, depending on the research purpose. However, the large volume of accumulated forest survey data from across the country can make it challenging to manage and utilize such a vast dataset. To address this issue, we developed an R package that efficiently handles large-scale NFI data across time and space. The package offers a comprehensive workflow for NFI data analysis. It starts with data processing, where readnfi() function reconstructs NFI data according to the researcher's needs while performing basic integrity checks for data quality. Following this, the package provides analytical tools that operate on the verified data. These include functions like summarynfi() for summary statistics, diversitynfi() for biodiversity analysis, ivnfi() for calculating species importance value, and biomassnfi() and cwdbiomassnfi() for biomass estimation. Finally, for visualization, the tsvisnfi() function generates graphs and maps, allowing users to visualize forest ecosystem changes across various spatial and temporal scales. This integrated approach and its specialized functions can enhance the efficiency of processing and analyzing NFI data, providing researchers with insights into forest ecosystems. The NFI Excel files (.xlsx) are not included in the R package and must be downloaded separately. Users can access these NFI Excel files by visiting the Korea Forest Service Forestry Statistics Platform (https://kfss.forest.go.kr/stat/ptl/article/articleList.do?curMenu=11694&bbsId=microdataboard) to download the annual NFI Excel files, which are bundled in .zip archives. Please note that this website is only available in Korean, and direct download links can be found in the notes section of the read_nfi() function.

Plot 1

Distribution of National Forest Inventory sample plots (left) and sampling design of the National Forest Inventory (right) (Korea Forest Research Institute, 2011)

Plot 2

Plot design of National Forest Inventory (Korea Forest Research Institute, 2011)

Installation

``` r

The easiest way to get knfi is to install just knfi:

install.packages("knfi")

Or the development version from GitHub:

remotes::install_github("SYOUNG9836/knfi") ```

Owner

  • Login: SYOUNG9836
  • Kind: user

GitHub Events

Total
  • Watch event: 1
  • Push event: 9
Last Year
  • Watch event: 1
  • Push event: 9

Committers

Last synced: 6 months ago

All Time
  • Total Commits: 26
  • Total Committers: 2
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.038
Past Year
  • Commits: 26
  • Committers: 2
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.038
Top Committers
Name Email Commits
SYOUNG9836 y****6@k****r 25
SYOUNG9836 7****6@u****m 1
Committer Domains (Top 20 + Academic)
kookmin.ac.kr: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 194 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
  • Total maintainers: 1
cran.r-project.org: knfi

Analysis of Korean National Forest Inventory Database

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 194 Last month
Rankings
Dependent packages count: 28.0%
Dependent repos count: 34.6%
Average: 49.8%
Downloads: 86.8%
Maintainers (1)
youngsin0306@kookmin.ac.kr
Last synced: 6 months ago

Dependencies

.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v4 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.5.0 composite
  • actions/checkout v4 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/rhub.yaml actions
  • r-hub/actions/checkout v1 composite
  • r-hub/actions/platform-info v1 composite
  • r-hub/actions/run-check v1 composite
  • r-hub/actions/setup v1 composite
  • r-hub/actions/setup-deps v1 composite
  • r-hub/actions/setup-r v1 composite
DESCRIPTION cran
  • R >= 3.6 depends
  • BiodiversityR * imports
  • broom * imports
  • cellranger * imports
  • cowplot * imports
  • data.table * imports
  • dplyr * imports
  • drat * imports
  • ggplot2 * imports
  • ggpubr * imports
  • magrittr * imports
  • plotrix * imports
  • readxl * imports
  • rlang * imports
  • sf * imports
  • sp * imports
  • stats * imports
  • stringr * imports
  • tidyr * imports
  • vegan * imports
  • kadmin * suggests
  • knitr * suggests
  • rmarkdown * suggests