knfi: Analysis of Korean National Forest Inventory Database
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 read_nfi() 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 summary_nfi() for summary statistics, diversity_nfi() for
biodiversity analysis, iv_nfi() for calculating species importance value, and biomass_nfi() and
cwd_biomass_nfi() for biomass estimation. Finally, for visualization, the tsvis_nfi() 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.
| Version: |
1.0.1.9 |
| Depends: |
R (≥ 3.6) |
| Imports: |
dplyr, magrittr, readxl, stringr, vegan, tidyr, BiodiversityR, data.table, sf, plotrix, rlang, cellranger, stats, broom, ggplot2, sp, cowplot, ggpubr, drat, purrr, scales |
| Suggests: |
kadmin, knitr, rmarkdown |
| Published: |
2024-12-03 |
| DOI: |
10.32614/CRAN.package.knfi |
| Author: |
Sinyoung Park 
[aut, cre],
Wonhee Cho [aut,
ctb],
Inyoo Kim [aut,
ctb],
Wontaek Lim [aut,
ctb],
Dongwook W. Ko
[aut, ths] |
| Maintainer: |
Sinyoung Park <youngsin0306 at kookmin.ac.kr> |
| BugReports: |
https://github.com/SYOUNG9836/knfi/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/SYOUNG9836/knfi,
https://syoung9836.github.io/knfi/ |
| NeedsCompilation: |
no |
| Additional_repositories: |
https://SYOUNG9836.github.io/drat |
| Language: |
en-US |
| Citation: |
knfi citation info |
| Materials: |
README NEWS |
| CRAN checks: |
knfi results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=knfi
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.